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Neurological and musculoskeletal pathophysiologic processes that would account for the patient presenting these symptoms

74-year-old male with a history of hypertension and smoking, is having dinner with his wife when he develops sudden onset of difficulty speaking, with drooling from the left side of his mouth, and weakness in his left hand. His wife asks him if he is all right and the patient denies any difficulty. His symptoms progress over the next 10 minutes until he cannot lift his arm and has trouble standing. The patient continues to deny any problems. The wife sits the man in a chair and calls 911. The EMS squad arrives within 5 minutes. Upon arrival in the ED, patient‘s blood pressure was 178/94, pulse 78 and regular, PaO2 97% on room air. Neuro exam – Cranial nerves- Mild left facial droop. Motor- Right arm and leg extremity with 5/5 strength. Left arm cannot resist gravity, left leg with mild drift. Sensation intact. Neglect- Mild neglect to left side of body. Language- Expressive and receptive language intact.

Mild to moderate dysarthria. Able to protect airway.

Please do a 1 to 2-page case study analysis. In your Case Study Analysis related to the scenario provided, explain the following:

•           Both the neurological and musculoskeletal pathophysiologic processes that would account for the patient presenting these symptoms.

•           Any racial/ethnic variables that may impact physiological functioning.

•           How these processes interact to affect the patient.  

resources

  • McCance, K. L. & Huether, S. E. (2019). Pathophysiology: the biologic basis for disease in adults and children (8th ed.). St. Louis, MO: Mosby/Elsevier.
    • Chapter 15: Structure and Function of the Neurologic System
    • Chapter 16: Pain, Temperature Regulation, Sleep, and Sensory Function (stop at Sleep); Summary Review
    • Chapter 17: Alterations in Cognitive Systems, Cerebral Hemodynamics, and Motor Function (start at Acute confusional states and delirium) (stop at Alterations in neuromotor functions); (Parkinson’s Disease); Summary Review
    • Chapter 18: Disorders of the Central and Peripheral Nervous Systems and the Neuromuscular Junction (stop at Degenerative disorders of the spine); (start at Cerebrovascular disorders) (stop at Tumors of the central nervous system); Summary Review
    • Chapter 44: Structure and Function of the Musculoskeletal System (stop at Components of muscle function); Summary Review
    • Chapter 45: Alterations of Musculoskeletal Function (stop at Bone tumors); (start at Disorders of joints); Summary Review
    • Chapter 47: Structure, Function, and Disorders of the Integument (section on Lyme Disease)
  • Chin, L. S. (2018). Spinal cord injuriesLinks to an external site.. Retrieved from https://emedicine.medscape.com/article/793582-overview#a4

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The transaction would increase an asset account and increase a liability account

write 200-250 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.

The general manager of a business encounters many different types of business transactions. Provide an example for each of the following transactions that would describe its effect on the accounting equation. Each situation is independent of the other situations.

  1. The transaction would increase an asset account and increase a liability account. 
  2. The transaction would decrease an asset account and decrease the owner’s equity account. 
  3. The transaction would increase an asset account and increase the owner’s equity account. 
  4. The transaction would decrease an asset account and decrease a liability account.
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Bellevue University Office 365 account

Bruin T. Bear

STS 110

September, 1, 20xx

For this writing assignment, let’s focus on developing an essay based on the “five-paragraph” structure. Following that structure means that your paper should include one paragraph for the Introduction, three paragraphs for the Body, and one paragraph for the Conclusion. You do not have to label your paragraphs as Introduction, Body, Conclusion.

Using this structure should allow you to present your position in sufficient depth. Don’t worry if you end up writing six paragraphs. The point here is to give you guidance on the basic structure to be used for this assignment.

Here are some tips to help you set up the formatting for your essay. We recommend you use the Microsoft Word application from your Bellevue University Office 365 account.

Formatting

· Start by putting your name, the course name, and the date in the upper-left corner of the document, as shown above.

· Select the “Layout” option above to set you “Margins” select the 1-inch margins for all sides.

· Select the “Home” button option above and locate the “Line and Paragraph Spacing” button and select “2.0” which is double spacing, this should be set for the entire essay.

· Remember Not to add additional spacing between paragraphs only the double spacing.

· Ensure that you indent the first line of each new paragraph ½ inch, this can be done by pressing the “tab” button on your keyboard.

From the “Home” tab in Microsoft Word, select “Times New Roman” as the Font Name and “12” as the Font Size.

Next, go to the “Layout” tab to set up your margins. Under the Margins dropdown, select Normal for 1-inch margins all around.

A screenshot of a cell phone  Description automatically generated

Introduction

The introduction should be a minimum of three sentences in length. Use the first two sentences to provide the context for your paper. You should clearly state the position you are taking so that you get the reader’s attention and guide them toward your claim. The last sentence of the introduction is the thesis statement (i.e., argument) and it should identify what is going to be discussed in the body of the paper. Because the body is supposed to consist of three paragraphs, it is a good practice to break down your thesis into three main ideas that support your position. See the example below.

Back when my mom did all my laundry, I just threw all my clothes into a pile and didn’t worry about how everything was washed. However, now that I have experience doing my own laundry, I must stress the importance of properly separating clothes into “whites,” “lights,” and “darks” or you will risk ruining your wardrobe. If you do not want ruin your clothes, then you should follow the steps I am about to describe for managing your laundry.

Body

The paragraphs in the body should develop the main ideas of your thesis. Write three paragraphs for the three points or pieces of evidence. The paragraphs should be about 5-8 sentences in length and provide sufficient details that explain what is meant by each of the main ideas in your thesis. Be sure to introduce and summarize each main idea in the individual paragraphs.

Each body paragraph should start with a transition into the topic—words or phrases like “First,” or “Another important point is,” See the example below.

First, I recommend making piles for white, light, and dark clothing. Your white pile should be for articles such as socks, underwear, and t-shirts. (Continue to explain this point in the remaining sentences)

Next, continue separating your colors into piles for light and dark clothing. (Continue to explain this point in the remaining sentences)

Finally, your dark pile should have gray, black, purple, dark blue, and so forth. (Continue to explain this point in the remaining sentences)

Conclusion

The concluding paragraph will recap the thesis and the main ideas presented in the introduction and body of the paper. Briefly restate the main points of your essay and tell the audience why you are right. Tie your topic to a bigger point so that your audience understands the significance of your position.

Remember, you cannot stick a red towel into a load of white laundry without damaging the rest of the clothes in that load. So the next time you set out to do your laundry, make sure you follow the steps outlined above for separating your clothes before washing them. Following these steps might even save you money in the long run because you will not have to buy new clothes to replace the ones that get ruined by improperly separated laundry.

If you use any references or quote another writer, be sure to add a References section at the end of your paper. For each reference, be sure to include the Title, Author, Date, and URL if available. If you have more than one source, be sure to separate them.

Here are a couple examples:

References

Pod, Tide. (2019). The Laundry Separator’s Handbook. Detergent Publishing, Inc.

Shirt, Tee. (2017). Wash Me with My Friends. www.not_a_real_site.com. Accessed on 7/31/2020.

* Feel free to save this document in your personal files for future reference.

3

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Dashing to catch a cab at the corner of Sixth and Vine, the account team was exhilarated

LEADERSHIP DEVELOPMENT: CASES FOR ANALYSIS

Devereaux-Dering Group

Dashing to catch a cab at the corner of Sixth and Vine, the account team was exhilarated. After a quick exchange of high fives, three of the four jumped into the backseat of a cab to return to the Manhattan offices of Devereaux-Dering, a global advertising agency with offices in New York, Hong Kong, and Paris. The team couldn’t wait to tell their team leader, Kurt Lansing, that they had won the BMW account that morning. The fourth team member, Brad Fitzgerald, stood apart from the animated group, studying his BlackBerry and then hailing a cab for an afternoon flight out of LaGuardia. After a two-year slump in sales, Devereaux-Dering needed a big score like the BMW account. To drive new business and land high-profile accounts like this one, the company had hired Kurt Lansing, an MBA from Wharton, with prominent status in the advertising industry. His job was to lead a new business team to study the market, develop strategies, and acquire major accounts. Lansing hand-selected four high achievers for his team that represented each area of the business: Brad Fitzgerald, creative director; Trish Roderick, account services; Adrienne Walsh, production manager; and Tyler Green, brand strategy. “That was a shocker!” said Roderick as she scooted across the backseat of the cab to make room for her teammates. “The client didn’t seem too impressed with our presentation until Fitzgerald presented the last set of slides describing the global campaign. They loved it. I think he single-handedly clinched the deal when he presented the tag line for the Asian market,” she said excitedly. “He’s a real whiz, alright,” muttered Green. “The eighth wonder of the world.” Sighing deeply and losing his earlier exuberance, Green said, “We couldn’t have bagged the deal without him, and I know we’ll all get credit. But none of us knew he planned to present that last part of the global campaign. I know he was working on that tag line late last night, but there was plenty of time this morning to get team input on it. I hate surprises in front of a client. I felt like a fool, even if we did win the business.” “He’s a regular white knight,” chuckled Walsh, “riding in at the last minute to save the day. I suppose we should appreciate him, but he’s just so irritating. He snapped at me last week for not telling him about a client who was upset about delays in their ad campaign. I reminded him that I had told him about it in our status meeting, but he wasn’t listening at the time. He was glued to his precious BlackBerry, as usual. Why have team meetings if he isn’t going to participate?” Roderick was surprised by her teammates’ reaction to Fitzgerald. She thought they had been working well together. She was quickly discovering, however, an undercurrent of resentment. This was the first time that she had been exposed to the conflict that was simmering below the surface. No doubt, Fitzgerald did have a strong ego and aggressive personality. A previously successful entrepreneur, Fitzgerald had a track record of success and was very ambitious. However, she did notice that he didn’t show respect for differing opinions or invite collaboration on ideas. She wondered if he was placing his own success above the team’s. But why complain if the team was sharing the credit and earning fat bonuses along with him? She was content to go with the status quo. “You know,” she said, “we’re darn lucky to be on his team.” She stared out the cab window at the passing traffic and listened to her two teammates continue to grouse. “I should have known something was up when I walked past his office last night and saw him working with the new copywriter. They must have been hashing out the new tag line,” smirked Green. “We are a team, aren’t we? The system is bigger than the individual, remember? He doesn’t seem too concerned about the welfare of the team—only his own.” “Well, let’s all have a heart-to-heart with Mr. McWhiz,” said Walsh sarcastically. “I’m sure he’ll see things our way. We’ll give him a brief overview of Teamwork 101. That will go over great!” As the cab pulled to the curb, they tossed the driver a $20 bill and headed to their offices on the 40th floor. They would all stop to see the team leader, Kurt Lansing, first. In the meantime, Lansing smiled broadly when he received Fitzgerald’s text message that they had won the BMW account. Sinking back in his chair, he marveled at the cohesiveness and success of his team. All that time building a shared vision and building trust was starting to pay off.

QUESTIONS

1. What factors do you think are affecting this team’s cohesiveness? Explain.

2. If you were the team leader, what could you do to bring Fitzgerald into the team more and foster better relationships among the team members?

3. As a team member, what would you do? Should the three members of the team confront Fitzgerald with their concerns? Should they inform Kurt Lansing? Explain your answers.

Daft, Richard L.. The Leadership Experience (p. 319).

Daft, Richard L.. The Leadership Experience (p. 320)

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Should doctors and other health professionals take biological race into account when diagnosing and treating illness?

Discussion 1 | Episode 1 EPISODE ONE: THE DIFFERENCE BETWEEN US

Should doctors and other health professionals take biological race into account when diagnosing and treating illness? Why? Can you think of a situation where thinking about race as biological might be misleading or have a negative effect? How would considering social race be different?

Tips:

  1. Please start your Discussion with the Question so people know what you are discussing. 
  2. Initial Post Due Friday 11:59 pm, Secondary Sunday at 11:59 pm
  3. Look at the rubric below to see what I am looking for. 
  4. There is no specific word count, but 200-500 words are probably adequate. 

Rubric: 

20 Points possible 

4 Points – Displays a great understanding of the concepts in the assignment

4 Points – Utilizes APA formatting

4 Points – Clear and concise writing with no errors in grammar, spelling, or context.

4 Points – Make a timely initial response.

4 Points – Make a timely and appropriate secondary response. (see tips)

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Create classes with some of the functionality of a bank account

2. Create classes with some of the functionality of a bank account. A single account may have (2) one or more joint owners, but one customer can be the owner of only one bank account (for now). Each of the following should be represented by a class that can have data and functions: • Customer class • Account class 3. • Customer should have the following attributes: Account, Full Name, Work Phone, Home (4) Phone, Cell Phone, Address Line 1, Address Line 2, City, Province, Postal Code. • Customer should always have a full name and also has a default empty string for all of the string values. • Customer should have member functions to set/get all of the data members. • Add validation code to ensure the following: – It is optional for a customer to have an account – A customer must have a full name of at least 1 character in length – One of the phone numbers must be set (any one), and additional phone numbers are optional – Address Line 2 can be blank, but the other address lines can not be blank For each of the above items, write a human readable error message to standard error when validation prevents an action from succeeding. For setter functions, return true if the operation succeeded, and return false if the operation failed. 4. • Account should have the following data members: Account Number, status (can only be (3) one of open, closed, frozen), date opened, branch number, subaccounts • Account should have a constructor that sets reasonable defaults for all of the data members. • Account should have member functions to set/get all of the data members where it makes sense to set the value (add inline comments explaining any decisions to omit get/set functions). In the case of subaccounts add member functions to add and/or remove one subaccount at a time. • Add validation code to ensure the following: – The constructor always requires an account number and a Customer – A newly created account is automatically an open account – An open account can be closed or frozen. A closed account can not be opened or frozen. A frozen account can return to open state and it also can be closed without returning to open state first. – Account balance can be both negative or positive, and must be stored as an integer representing a number of pennies (cents) rather than dollars. – Account deposits and withdrawals must be done using number of pennies (cents) rather than dollars. – Deposits and withdrawals must be positive numbers. – Ensure that the balance can never fall outside of the range of a 32 bit signed integer, but permit as much of this range as possible, including negative values. For each of the above items, write a human readable error message to standard error when validation prevents an action from succeeding. For setter functions, return true if the operation succeeded, and return false if the operation failed. 5. Write a test suite for the above functionality. Use the test suite to verify that your classes are (6) implemented correctly. Ensure that I have access to your git repostory. Please post the path of your git repository to the assignment drop box

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account several cultural variables

In the decision-making process, you must take into account several cultural variables. Describe one of the variables associated with risk tolerance and one of the variables associated with internal/external locus of control. Why are these important factors to consider? Your response must be at least 300 words in length.

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Does Socioeconomic Status Account for Racial and Ethnic

Does Socioeconomic Status Account for Racial and Ethnic

Disparities in Childhood Cancer Survival?

Rebecca D. Kehm, PhD 1; Logan G. Spector, PhD 2; Jenny N. Poynter, PhD 2; David M. Vock, PhD 3;

Sean F. Altekruse, PhD 4,5; and Theresa L. Osypuk, SD 1

BACKGROUND: For many childhood cancers, survival is lower among non-Hispanic blacks and Hispanics in comparison with non- Hispanic whites, and this may be attributed to underlying socioeconomic factors. However, prior childhood cancer survival studies

have not formally tested for mediation by socioeconomic status (SES). This study applied mediation methods to quantify the role of SES in racial/ethnic differences in childhood cancer survival. METHODS: This study used population-based cancer survival data from

the Surveillance, Epidemiology, and End Results 18 database for black, white, and Hispanic children who had been diagnosed at the ages of 0 to 19 years in 2000-2011 (n 531,866). Black-white and Hispanic-white mortality hazard ratios and 95% confidence intervals, adjusted for age, sex, and stage at diagnosis, were estimated. The inverse odds weighting method was used to test for mediation by

SES, which was measured with a validated census-tract composite index. RESULTS: Whites had a significant survival advantage over blacks and Hispanics for several childhood cancers. SES significantly mediated the race/ethnicity–survival association for acute lym-phoblastic leukemia, acute myeloid leukemia, neuroblastoma, and non-Hodgkin lymphoma; SES reduced the original association

between race/ethnicity and survival by 44%, 28%, 49%, and 34%, respectively, for blacks versus whites and by 31%, 73%, 48%, and 28%, respectively, for Hispanics versus whites ((log hazard ratio total effect – log hazard ratio direct effect)/log hazard ratio total

effect). CONCLUSIONS: SES significantly mediates racial/ethnic childhood cancer survival disparities for several cancers. However, the proportion of the total race/ethnicity–survival association explained by SES varies between black-white and Hispanic-white com- parisons for some cancers, and this suggests that mediation by other factors differs across groups.

2018 American Cancer Society .

KEYWORDS: cancer survival, childhood cancer, mediation, racial and ethnic disparities, socioeconomic status.

INTRODUCTION

Despite improvements over the last 4 decades in cancer survival in the US pediatric population, marked racial and ethnic

disparities persist. 1Compared with non-Hispanic white (white) children, non-Hispanic black (black) and Hispanic chil-

dren experience lower survival from many cancers, including leukemias, 2,3 lymphomas, 4,5 central nervous system (CNS)

tumors, 6and extracranial solid tumors. 7-9 The underlying causes of racial/ethnic survival differences are not well under-

stood and may vary by cancer type. As outlined in Figure 1,bothbiologicalandsocioeconomicpathwayshavebeenpro-

posed in the literature. 10,11 Underlying genetic variations associated with ancestry may lead to differences in tumor

biology and pharmacogenetics for some childhood cancers. 10 However, race/ethnicity is a socially constructed taxonomy

that is not synonymous with ancestry. 12 Race/ethnicity is highly correlated with socioeconomic status (SES), especially in

the United States, where embedded, institutionalized racism continues to place racial and ethnic minorities at high risk for

low SES. 13 Because of emerging evidence for a positive association between SES and survival from some childhood can-

cers, 11racial/ethnic survival disparities may also be explained by socioeconomic differences.

Quantifying the relative role of SES in explaining racial/ethnic survival disparities will help to inform practice and

intervention efforts. If SES accounts for racial/ethnic survival differences, then interventions addressing social and eco-

nomic barriers to treatment and care are warranted. However, if SES does not fully account for survival differences by

race/ethnicity, then other social factors (eg, immigration) and biological mechanisms (eg, tumor biology) must be consid-

ered. To date, formal mediation methods have not been used to disentangle racial/ethnic disparities in childhood cancer

Corresponding author: Rebecca D. Kehm, PhD, Division of Epidemiology and Community Health, University of Minnesota School of Public Health, 13,000 South Second Street, West Bank Office Building, Minneapolis, MN 55455; kehmx003@umn.edu

1Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota; 2Division of Epidemiology and Clini- cal Research, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota; 3Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, Minnesota; 4National Cancer Institute, Bethesda, Maryland; 5Epidemiology Branch, Prevention and Population Sciences Program, Division of Cardio- vascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, Maryland.

Seeeditorialonpages thisissue. Additional supporting information may be found in the online version of this article.

DOI: 10.1002/cncr.31560, Received: December 8, 2017; Revised: January 11, 2018; Accepted: February 2, 2018, Published online Online Library (wileyonlinelibrary.com)

Original Article

Cancer 2018;124:40 –

Cancer October 15, 2018 4090

August 20, 2018 in Wiley

90

4097.

VC

3975-8, survival. Therefore, we conducted a mediation analysis

using population-based data, representative of the US

pediatric cancer population, to measure the role of SES in

racial and ethnic childhood cancer survival disparities. We

assessed survival from several childhood cancers to deter-

mine whether mediation by SES differs across cancer

types.

MATERIALS AND METHODS

Study Population

We obtained population-based cancer registry data from

the Surveillance, Epidemiology, and End Results (SEER)

18 database; the Alaska Native Tumor Registry was

excluded. We restricted the analysis to black, Hispanic,

and white cases aged 0 to 19 years with microscopically

confirmed first primary malignancies. Race was assigned

in SEER through medical record abstraction. 14,15 His-

panic ethnicity was assigned in SEER on the basis of self-

report/guardian report of Spanish origin in the medical

record or by a computer algorithm that searches surnames

and maiden names to determine Spanish origin. 14,16 We

assessed race/ethnicity with mutually exclusive categories

(non-Hispanic white, non-Hispanic black, and Hispanic);

individuals of Spanish origin were categorized as His-

panic, regardless of racial background. SES data were

available in SEER for diagnostic years 2000-2012. There-

fore, we restricted our sample to cases diagnosed in 2000-

2011 and followed through December 31, 2012, to allow

for at least 1 year of follow-up. We excluded 45 cases with

in situ tumors, 707 cases with missing/zero months of

follow-up, and 725 cases missing SES data. We assessed

cancers with 200 cases for each racial/ethnic group; they

were classified with the International Classification of

Childhood Cancer, third edition. 17 Our final analytic

sample consisted of 31,866 cases. This study was

approved by the Surveillance Research Program in the

National Cancer Institute’s Division of Cancer Control

and Population Sciences.

Measures

Overall survival was calculated in SEER as months from

the date of the cancer diagnosis to the date of death from

any cause or was censored at the date of last contact.

SES was measured at the neighborhood level (based

on the residential address at the date of the cancer diagno-

sis) with a validated census-tract composite index. 18 As

described in the prior literature, 19 the index was con-

structed through a factor analysis of nationwide 2000

decennial census data and 2005-2009 American Commu-

nity Survey data. 18 Seven indicators of neighborhood

SES, previously specified by Yost et al, 20 were included in

the index: proportion employed in working-class occupa-

tions, proportion aged 16 years or older and unemployed,

education index, 21median household income, proportion

below the 200% poverty level, median rent, and median

house value. Addresses were geocoded to census tracts

(2000 geographic boundaries). The 2000 census values

were assigned to cases diagnosed in 2000-2003; 2005-

2009 American Community Survey values were assigned

to cases diagnosed in 2004-2011. 18 The index is available

in SEER as a 5-level variable categorized into quintiles

(quintile 1 is the lowest SES quintile, and quintile 5 is the

highest SES quintile).

As for covariates, we controlled for diagnostic age

group ( <1, 1-4, 5-9, 10-14, or 15-19 years), sex, and stage

Figure 1. Proposed mediating pathways between race/ethnicity and childhood cancer survival.

4091 Cancer October 15, 2018

Mediation of Childhood Cancer Survival/Kehm et al at diagnosis (SEER Summary Stage 2000 [1998 1]: local-

ized, regional, distant, or unknown/unstaged). 22

Statistical Analysis

For each cancer type, we estimated black-white and

Hispanic-white mortality hazard ratios (total effects) from

multivariate Cox proportional hazards regression models.

No substantial violations of the proportional hazards

assumption were identified. For cancers with a statistically

significant total effect, we used the inverse odds weighting

(IOW) method to test for mediation by SES. 23,24 IOW

analyses were conducted separately for black-white and

Hispanic-white comparisons to account for the possibility

that SES may mediate differently by race/ethnicity,

although sensitivity analyses using multinomial models of

all 3 racial/ethnic groups documented comparable results.

IOW is a semiparametric, weight-based approach that

overcomes many limitations of traditional parametric

mediation methods. 25 For example, IOW is appropriate

for any functional form (rather than just linear models),

can test multiple mediators simultaneously (as opposed to

testing them one by one), and is valid even in the presence

of exposure-mediator interactions. 26

Applying the IOW method, we estimated the natu-

ral27 direct effect (hereafter called the direct effect) of race/

ethnicity on survival by fitting a weighted, multivariate Cox

proportional hazards model. Weighting by the inverse odds

of exposure creates a pseudo-population in which the expo-

sure and the mediator are independent; thus, the race/eth-

nicity–survival association (direct effect) that remains after

accounting for the pathway through SES is estimated. To

obtain the IOW weights, we first estimated the odds of

exposure (ie, race/ethnicity) for each subject from a multi-

variate logistic regression model specifying SES and covari-

ates. We then took the inverse of the predicted odds to

create the IOW weight for whites; nonwhites were assigned

a weight of 1. The nonwhite racial/ethnic group was selected

as the reference to minimize extreme weighting values. Next,

we estimated the natural 27 indirect effect (hereafter called

the indirect effect) of race on survival operating through SES

by subtracting the direct effect (log hazard ratio [ b]) from

the total effect and bootstrapping to obtain standard errors

(500replications).Asignificantindirecteffectprovidessta-

tistical evidence of mediation. To quantify the magnitude of

mediation by SES, we calculated the percent reduction from

the total effect to the direct effect (( btotal –bdirect )/btotal ). Sta-

tistical significance was determined as P<.05 for a 2-sided

hypothesis test. Analyses were performed with Stata 14.2

(StataCorp, College Station, Texas). 28

Secondary analyses

The tract-level SES index likely captures an array of socio-

economic factors contributing to survival. One such factor

may be health insurance status. To empirically test this,

we compared indirect effects of mediation by tract SES

index and also by individual-level health insurance status

(private vs otherwise); we tested each of these mediators

separately and simultaneously. This analysis was confined

to cancers with a significant indirect tract SES effect in the

primary analysis and to cases diagnosed in 2007-2011,

when health insurance data were available in SEER. We

also explored whether we inadvertently overly adjusted

IOW models by including the stage at diagnosis as a

covariate. The stage at diagnosis could theoretically oper-

ate as a downstream mediator of the SES-survival associa-

tion if, for example, SES influences diagnostic timing. 10

We tested logistic models of SES predicting tumor stage

(local vs otherwise and distant vs otherwise), and we com-

pared SES indirect-effect estimates from IOW models

unadjusted and adjusted for the stage at diagnosis.

RESULTS

Descriptive characteristics by cancer type are provided in

Table 1. All-cause mortality from 2000 to 2012 varied

across cancers, ranging from 5.2% among Hodgkin lym-

phoma (HL) cases to 33.8% among acute myeloid leuke-

mia (AML) cases. The mean age at diagnosis varied across

cancers, ranging from 2.5 years (standard deviation, 3.3

years) among neuroblastoma cases to 14.9 years (standard

deviation, 3.8 years) among HL cases. There was a higher

proportion of males versus females for all cancers except

for Wilms tumors (53.4% female). The distribution of

tumor stages varied across cancers (stage does not apply to

leukemias). For example, only 1.9% of astrocytoma cases

were classified as distant stage at diagnosis, whereas

48.9% of neuroblastoma cases were. The distribution of

cases across SES categories was consistent across cancers.

Sample characteristics by race/ethnicity are available in

the supporting information (Supporting Table 1).

InTable 2, we compare all-cause mortality between

black and white cases (total effects). For cancers with sig-

nificant total effects, we also present IOW results for

mediation by SES. Compared with whites, black cases

had a statistically significant higher hazard of death for all

cancers except Wilms tumors, osteosarcomas, and germ

cell tumors. Across the 9 cancers with significant racial

disparities in mortality, black children exhibited a 38%

(neuroblastoma) to 95% (astrocytoma) higher risk of

mortality in comparison with white children ( P<.05).

SES was determined to be a significant mediator of the

4092 Cancer October 15, 2018

Original Article TABLE 1.

Characteristics of Childhood Cancer Cases Aged 0 to 19 Years and Diagnosed in 2000-2011 in the SEER 18 Registries

Cancer Type No.

Race/Ethnicity, No.

Survival, Mean (SD), mo

All-Cause Mortality,

%

Age at Diagnosis, Mean (SD), y

Female,

%

Stage at Diagnosis, %

a

Tract-Level SES Index, %

b

Non- Hispanic White

Non- Hispanic Black Hispanic Localized Regional Distant

Unknown/ Unstaged Q1 Q2 Q3 Q4 Q5

Acute lymphoblastic leukemia

8492 4357 634 3501 70.2 (42.6) 12.9 6.9 (5.3) 43.1 N/A N/A N/A N/A 23.2 21.4 19.3 17.9 18.3

Acute myeloid leukemia 1832 965 253 614 54.6 (43.8) 33.8 8.9 (6.7) 48.0 N/A N/A N/A N/A 25.4 20.5 18.6 18.7 16.8 Neuroblastoma 1901 1214 264 423 63.5 (43.0) 21.6 2.5 (3.3) 47.6 20.8 25.3 48.9 5.0 20.5 19.7 21.0 18.6 20.3 Non-Hodgkin lymphoma 2065 1169 343 553 68.1 (44.2) 15.5 12.6 (5.0) 37.1 30.9 19.6 44.4 5.2 22.4 19.1 19.3 19.4 19.9 Hodgkin lymphoma 3078 1947 384 747 76.8 (41.5) 5.2 14.9 (3.8) 46.6 14.5 48.3 34.3 2.9 20.0 20.2 18.2 19.7 21.9Astrocytoma 3195 2080 360 755 69.2 (45.4) 17.2 9.1 (5.6) 47.9 82.7 11.5 1.9 3.8 19.2 19.2 19.5 20.3 21.9Non-astrocytoma CNS tumor

2827 1718 326 783 60.7 (45.1) 31.2 7.5 (5.8) 42.1 69.7 13.3 12.8 4.2 21.1 19.1 19.6 19.7 20.4

Non-rhabdomyosarcoma STS

1784 974 296 514 65.3 (44.9) 22.9 11.9 (5.9) 46.6 56.6 22.8 15.3 5.4 20.0 21.5 19.9 19.0 19.7

Rhabdomyosarcoma 1202 656 208 338 59.0 (43.1) 32.6 7.9 (5.7) 42.9 31.9 34.1 29.7 4.3 20.7 22.0 18.1 19.1 20.1 Wilms tumor 1430 789 254 387 71.0 (43.2) 8.3 3.4 (3.0) 53.4 42.4 29.7 24.8 3.2 22.5 21.1 19.7 18.1 18.6 Osteosarcoma 1247 619 217 411 60.8 (42.1) 32.6 13.2 (3.7) 45.1 32.3 44.0 20.6 3.1 21.3 22.5 20.2 18.3 17.6Germ cell tumor 2813 1549 231 1033 72.7 (43.5) 7.5 13.8 (6.0) 35.4 55.5 22.7 18.2 3.6 20.9 20.2 19.8 19.1 19.9 Abbreviations: CNS, central nervous system; N/A, not applicable; Q, quintile; SD, standard deviation; SEER, Surveillance, Epidemiology, and End R

esults; SES, socioeconomic status; STS, soft-tissue sarcoma.

aThe stage at diagnosis is N/A for leukemias.bHigher quintiles represent higher SES (ie, Q1 is the lowest SES quintile, and Q5 is the highest SES quintile).

4093 Cancer October 15, 2018

Mediation of Childhood Cancer Survival/Kehm et al race-survival association if the indirect effect of race on

survival operating through SES was statistically signifi-

cant. SES significantly mediated the black-white survival

disparity for acute lymphoblastic leukemia (ALL;

indirect-effect hazard ratio [iHR], 1.17; 95% confidence

interval [CI], 1.07-1.28; P<.01; 44% reduction from

the total effect to the direct effect of the racial disparity in

mortality), AML (iHR, 1.15; 95% CI, 1.03-1.29;

P 5 .01; 28% reduction), and neuroblastoma (iHR, 1.17;

95% CI, 1.03-1.33; P5 .02; 49% reduction). SES was a

marginally significant mediator of the black-white sur-

vival disparity for non-Hodgkin lymphoma (NHL; iHR,

1.16; 95% CI, 0.97-1.37; P5 .10; 34% reduction). First-

leg mediation results are available in the supporting infor-

mation (Supporting Table 2).

In Table 3,comparingall-causemortalitybetween

Hispanic and white cases, we present total effects and IOW

results for testing mediation by SES. Compared

with whites, Hispanic cases had a statistically significantly

or marginally significantly (AML and non-

rhabdomyosarcoma soft-tissue sarcomas) higher hazard of

death for all cancers except HL, non-astrocytoma CNS

tumors, rhabdomyosarcoma, and osteosarcoma. Among

the 6 cancers exhibiting significant ethnic disparities in

mortality, Hispanic children, compared with their white

counterparts, exhibited a 31% (neuroblastoma) to 65%

(NHL) higher risk of mortality ( P<.05). SES significantly

mediated the ethnic mortality disparity for ALL (iHR,

1.16; 95% CI, 1.08-1.26; P<.001; 31% reduction from

the total effect to the direct effect of the ethnic disparity in

mortality),AML(iHR,1.13;95%CI,1.03-1.25; P5 .01;

73% reduction), neuroblastoma (iHR, 1.14; 95% CI,

1.03-1.26; P5 .01; 48% reduction), and NHL (iHR,

1.15; 95% CI, 1.01-1.31; P5 .04; 28% reduction). Nota-

bly, SES significantly mediated both the racial and ethnic

disparities in survival for the same 4 cancers.

Secondary Analyses

Except for NHL, the mediating effect of tract-level SES

was greater than the mediating effect of health insurance

status among black-white and Hispanic-white compari-

sons (Supporting Table 3). For example, the indirect

effect of tract SES on the black-white mortality disparity

for ALL was 1.22 (95% CI, 1.01-1.48; P5 .04; 44%

reduction), whereas the indirect effect of health insurance

was 1.09 (95% CI, 0.94-1.27; P5 .24; 19% reduction).

Among cancers with significant SES indirect effects, SES

was not associated with the stage at diagnosis (Supporting

Table 4). The exclusion of the stage at diagnosis from

IOW models did not lead to notably stronger indirect

SES effects (Supporting Tables 5 and 6).

DISCUSSION

This is the first study to use formal mediation methods to

unpack childhood cancer survival disparities by race/eth-

nicity, and it generated several findings. We replicated

TABLE 2. Mediation by SES of Racial (Black vs White) Survival Disparities Among Childhood Cancer Cases

Aged 0 to 19 Years and Diagnosed in 2000-2011 in the SEER 18 Registries

Cancer Type

Total Effect of Race on Survival Through All Medi- ating Pathways

Direct Effect of Race on Survival After Blocking SES Pathway

Indirect Effect of Race on Survival OperatingThrough SES Pathway Reduction From Total Effect to Direct Effect, % b MortalityHR a 95% CI P Mortality HR a 95% CI P Mortality HR a 95% CI P

Acute lymphoblastic leukemia 1.43 1.15-1.77 <.01 1.22 0.96-1.54 .10 1.17 1.07-1.28 <.01 44 Acute myeloid leukemia 1.68 1.36-2.07 <.001 1.45 1.15-1.84 <.01 1.15 1.03-1.29 .01 28 Neuroblastoma 1.38 1.08-1.75 .01 1.18 0.91-1.52 .22 1.17 1.03-1.33 .02 49 Non-Hodgkin lymphoma 1.53 1.14-2.07 .01 1.33 0.94-1.88 .11 1.16 0.97-1.37 .10 34Hodgkin lymphoma 1.66 1.06-2.60 .03 1.50 0.87-2.58 .15 1.11 0.83-1.48 .50 20Astrocytoma 1.95 1.57-2.43 <.001 1.80 1.42-2.30 <.001 1.08 0.98-1.20 .12 12 Non-astrocytoma CNS tumor 1.53 1.25-1.88 <.001 1.41 1.11-1.78 <.01 1.09 0.97-1.22 .14 20 Non-rhabdomyosarcoma STS 1.40 1.06-1.84 .02 1.34 0.96-1.87 .08 1.04 0.87-1.26 .65 13Rhabdomyosarcoma 1.44 1.10-1.88 .01 1.33 0.98-1.81 .07 1.08 0.93-1.25 .31 21Wilms tumor 0.96 0.57-1.62 .88 Not applicable c

Osteosarcoma 0.88 0.67-1.16 .37 Not applicable c

Germ cell tumors 0.98 0.57-1.69 .94 Not applicable c

Abbreviations: b, log hazard ratio; CI, confidence interval; CNS, central nervous system; HR, hazard ratio; SEER, Surveillance, Epidemiology, and End Results; SES, socioeconomic status; STS, soft-tissue sarcomas.aAdjusted for age, sex, and stage at diagnosis (stage not applicable for leukemias). Bootstrapping was used for standard errors.b( btotal –bdirect )/btotal). cDirect and indirect effects were not estimated for cancers with a statistically nonsignificant total effect ( P>.05); bootstrapping was not used.

4094 Cancer October 15, 2018

Original Article results from prior studies showing that whites have a sig-

nificant survival advantage over blacks and Hispanics for

several childhood cancers, including leukemias, 2,3 lym-

phomas, 4,5 CNS tumors, 6neuroblastomas, 7and non-

rhabdomyosarcoma soft-tissue sarcomas. 9In no instance

was survival among whites significantly worse than that of

either black or Hispanic children. Racial and ethnic sur-

vival differences were not uniform across cancers, and

some variability between black-white and Hispanic-white

comparisons was observed.

We demonstrated that SES significantly mediates

racial/ethnic survival disparities for several childhood can-

cers, including ALL, AML, neuroblastoma, and NHL.

For these cancers, indirect hazard ratios fell within a nar-

row range (1.13-1.17) for both black-white and Hispanic-

white comparisons. This suggests that the association

between SES and survival is not modified by, and may be

shared across, race/ethnicity. Conversely, the proportion

of the overall survival disparity explained by SES (ie, the

percent reduction) did vary by race/ethnicity for some

cancers. For example, among AML cases, SES explained

only 28% of the black-white survival disparity but 73% of

the Hispanic-white disparity. This may suggest a differen-

tial role of other mediating factors across racial/ethnic

groups for some cancers. For example, prior evidence sug-

gests that, among AML cases, a significantly lower pro-

portion of black children have matched family donors

available in comparison with white and Hispanic chil-

dren. 29Among other cancers with significant racial/ethnic

survival disparities (eg, CNS tumors and soft-tissue sarco-

mas), we found no significant evidence of mediation by

SES. Thus, for these cancers in particular, we cannot rule

out mediation by other factors such as differences in

tumor biology, pharmacogenomics, health care quality,

and other social factors not captured by the SES index (eg,

racism). 30

Because SES did not uniformly influence survival

across different types of childhood cancer, the mecha-

nisms through which SES influences survival may be

cancer-specific. For example, the strong association

between SES and ALL survival may be explained by differ-

ences in treatment adherence. 10 Unlike treatments for

other childhood cancers, the treatment of ALL requires a

prolonged maintenance phase composed of the oral

administration of antimetabolites, which may be difficult

for low-SES families to adhere to because of social and

economic constraints. 10 This is supported by prior evi-

dence of lower treatment adherence among children with

ALL living in a single-mother household versus a 2-parent

household. 31 Other cancer-specific mechanisms through

which SES may influence survival are less understood.

Secondary findings from this study suggest that factors

beyond health insurance status and stage at diagnosis con-

tribute to the SES-survival association, at least for some

TABLE 3. Mediation by SES of Ethnic (Hispanic vs White) Survival Disparities Among Childhood Cancer

Cases Aged 0 to 19 Years and Diagnosed in 2000-2011 in the SEER 18 Registries

Cancer Type

Total Effect of Ethnicity on Survival Through All Medi- ating Pathways

Direct Effect of Ethnicity on Survival After Blocking SES Pathway

Indirect Effect of Ethnicity on Survival OperatingThrough SES Pathway Reduction From Total Effect to Direct Effect, % b MortalityHR a 95% CI P Mortality HR a 95% CI P Mortality HR a 95% CI P

Acute lymphoblastic leukemia 1.63 1.43-1.86 <.001 1.40 1.21-1.63 <.001 1.16 1.08-1.26 <.001 31 Acute myeloid leukemia 1.19 0.99-1.43 .07 1.05 0.85-1.29 .66 1.13 1.03-1.25 .01 73 Neuroblastoma 1.31 1.04-1.65 .02 1.15 0.89-1.49 .27 1.14 1.03-1.26 .01 48 Non-Hodgkin lymphoma 1.65 1.29-2.12 <.001 1.44 1.08-1.92 .01 1.15 1.01-1.31 .04 28 Hodgkin lymphoma 1.11 0.76-1.64 .59 Not applicable c

Astrocytoma 1.34 1.10-1.64 <.01 1.26 1.01-1.56 .04 1.07 0.98-1.16 .12 23 Non-astrocytoma CNS tumor 1.07 0.92-1.25 .36 Not applicable c

Non-rhabdomyosarcoma STS 1.22 0.96-1.55 .10 1.13 0.87-1.46 .38 1.08 0.95-1.24 .25 41 Rhabdomyosarcoma 1.11 0.88-1.41 .37 Not applicable c

Wilms tumor 1.60 1.04-2.45 .03 1.57 0.95-2.52 .06 1.02 0.83-1.24 0.88 3 Osteosarcoma 0.99 0.79-1.23 .91 Not applicable c

Germ cell tumor 1.63 1.19-2.24 <.01 1.70 1.19-2.42 <.01 0.96 0.81-1.15 .69 –8

Abbreviations: b, log hazard ratio; CI, confidence interval; CNS, central nervous system; HR, hazard ratio; SEER, Surveillance, Epidemiology, and End Results; SES, socioeconomic status; STS, soft-tissue sarcoma.aAdjusted for age, sex, and stage at diagnosis (stage not applicable for leukemias).b( btotal –bdirect )/btotal). cDirect and indirect effects were not estimated for cancers with a statistically nonsignificant total effect ( P>.05); bootstrapping was not used.

4095 Cancer October 15, 2018

Mediation of Childhood Cancer Survival/Kehm et al childhood cancers. Additional research is needed to fur-

ther unpack the association between SES and childhood

cancer survival.

Limitations

We relied on an area-based variable as our primary measure

of SES because of the lack of individual-level SES measures

in SEER data; moreover, we selected an SES index to oper-

ationalize the SES construct over a meaningful period of

time. Although this improves upon many prior

population-based cancer studies that lacked any measures

of SES or relied on county-level measures, tract-level SES is

still a proxy for individual-level SES in this study because

we could not comprehensively control for SES at the indi-

vidual level. 32,33 Furthermore, we used a fairly crude mea-

sure of individual-level health insurance status (private vs

otherwise) in our secondary analysis. Because the tract-level

SES index was available in SEER only for the years 2000-

2012, the sample size and the follow-up time were limited.

This prevented us from testing more homogenized cancer

and racial/ethnic subgroups or stratifying by age. Addi-

tional research is thus needed for other smaller populations

of racial and ethnic groups not considered in this analysis

because of the rarity of childhood cancer, which limited

power. We also lacked geographic variables to explore

potential spatial variations in survival. Furthermore, the

lack of clinical data in SEER limited our ability to account

for diagnostic, therapeutic, and biological factors, such as

cytogenetic or molecular features. Finally, there is the

potential for differential loss to follow-up by race and SES.

In conclusion, through the application of formal

mediation methods, we have demonstrated that SES signif-

icantly contributes to racial and ethnic survival disparities

for several childhood cancers, including ALL, AML, neuro-

blastoma, and NHL. Thus, for these cancers in particular,

racial/ethnic survival disparities could theoretically be

addressed through initiatives that reduce social and eco-

nomic barriers to effective care. Such efforts may include

expanded health insurance coverage, improved patient care

coordination, increased health literacy, and supplementa-

tion of transportation and childcare costs during treatment.

However, because SES did not fully account for survival

disparities, we cannot rule out the potential role of other

mediating pathways, including tumor biology, pharmaco-

genomics,healthcarequality,andothersocialfactors.A

multipronged intervention approach that both addresses

socioeconomic barriers to care and invests in personalized

treatment regimens may ultimately be needed to fully elim-

inate childhood cancer survival disparities.

FUNDING SUPPORT

This work was supported by a National Institutes of Health

Translational Pediatric Cancer Epidemiology Training Grant

(T32CA099936).

CONFLICT OF INTEREST DISCLOSURES

The authors made no disclosures.

AUTHOR CONTRIBUTIONS

Rebecca D. Kehm : Conceptualization, data curation, formal anal-

ysis, methodology, writing–original draft, and writing–review and

editing. Logan G. Spector : Conceptualization, methodology, and

writing–review and editing. Jenny N. Poynter : Conceptualization,

methodology, and writing–review and editing. David M. Vock :

Conceptualization, methodology, and writing–review and editing.

Sean F. Altekruse : Conceptualization, methodology, and writing–

review and editing. Theresa L. Osypuk : Conceptualization, meth-

odology, and writing–review and editing.

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Lampu Terang Bhd factored with recourse RM150,000 of account receivable for a cash proceed of RM140,000 to the Adawiyah Bank Berhad

Lampu Terang Bhd factored with recourse RM150,000 of account receivable for a cash proceed of RM140,000 to the Adawiyah Bank Berhad. Adawiyah Bank Berhad withheld 8% of account receivable as protection against sales return and allowance. The difference between factored account receivable and cash proceed is considered as a finance charge.

 Adawiyah Bank Berhad manage to collect RM136,000 of the factored account receivable, which include sales return and allowance of RM5,500.  The remaining balance of account receivable is uncollectible. Settlement of factored accounts receivable as done on this date.

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