Evidence map›Paper›PMID 27754726›Full record

ArticleJournal of adolescent and young adult oncology2017

Effect of Population Socioeconomic and Health System Factors on Medical Care of Childhood Cancer Survivors: A Report from the Childhood Cancer Survivor Study.

Deirdre A Caplin, Ken R Smith, Kirsten K Ness, Heidi A Hanson, Stephanie M Smith, Paul C Nathan, Melissa M Hudson, Wendy M Leisenring, Leslie L Robison, Kevin C Oeffinger

Abstract read
In one paragraph

Article in Journal of adolescent and young adult oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Childhood cancer and future cardiometabolic health.npj metabolic health and disease · 2026
    Review
  4. Attendance at survivorship clinics in relation to Hodgkin lymphoma survivor and treatment characteristics.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Artificial intelligence and imaging: Opportunities in cardio-oncology.American heart journal plus : cardiology research and practice · 2022
    Article
  9. Artificial intelligence opportunities in cardio-oncology: Overview with spotlight on electrocardiography.American heart journal plus : cardiology research and practice · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Understanding Posttreatment Patient-Provider Communication and Follow-Up Care Among Self-Identified Rural Cancer Survivors in Illinois.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Deirdre A Caplin1 University of Utah School of Medicine , Salt Lake City, Utah.
Ken R Smith1 University of Utah School of Medicine , Salt Lake City, Utah.
Kirsten K Ness2 St. Jude Children's Research Hospital , Memphis, Tennessee.
Heidi A Hanson1 University of Utah School of Medicine , Salt Lake City, Utah.
Stephanie M Smith3 Department of Medicine, Hospital of the University of Pennsylvania , Philadelphia, Pennsylvania.
Paul C Nathan4 The Hospital for Sick Children , Toronto, Canada .
Melissa M Hudson2 St. Jude Children's Research Hospital , Memphis, Tennessee.
Wendy M Leisenring5 Fred Hutchison Cancer Research Center , Seattle, Washington.
Leslie L Robison2 St. Jude Children's Research Hospital , Memphis, Tennessee.
Kevin C Oeffinger6 Memorial Sloan Kettering Cancer Center , New York, New York.

Funding

Mach-LETSGO: Machine-LEarning of Treatment, Survey, and Genetics towards Obtaining Correct Classification of Chronic Conditions in Adult Survivors in the Childhood Cancer Survivor Study - CCSS SupplU24CA055727 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Gregory Armstrong · 1999 to 2026
$96.7M
The Utah Study of Fertility, Longevity and AgingR01AG022095 · NIA · UNIVERSITY OF UTAH · PI SMITH, KEN R · 2003 to 2015
$9.4M
NCI NIH HHS U24 CA055727NIA NIH HHS R01 AG022095
6 · The paper itself

Abstract

purposeTo determine the independent contribution of population socioeconomic and health system factors on childhood cancer survivors' medical care and screening.

methods7899 childhood cancer survivors in the United States and Canada enrolled in the Childhood Cancer Survivor Study (CCSS). Population-level factors were derived from U.S. Area Health Resource File or 201 Canadian Census. Health service utilization and individual-level factors were self-reported. Multivariable logistic regression was used to calculate the effect of population factors on medical care (any care vs. no care; risk-based care vs. general care) and indicated echocardiogram or mammogram, adjusting for individual sociodemographic and health status.

resultsAfter adjusting for individual factors, population factors had a nominal impact on childhood cancer survivors' medical care and screening. Higher population median income was associated with risk-based survivor-focused care versus general care (odds ratio [OR] 1.05, 95% confidence interval [CI], 1.01-1.09) among all participants, but not among U.S. residents only (OR 1.03, 95% CI, 0.99-1.07). For U.S. residents, the number of CCSS centers within the geographic area was associated with greater odds of receiving risk-based survivor-focused medical care (OR 1.12, 95% CI, 1.04-1.20). Areas with higher median income had higher rates of echocardiogram screening among survivors at risk of cardiomyopathy (for every $10,000 increase in median income, there is a 12% increase in odds of echocardiogram screening; 95% CI 1.05-1.20). A positive relationship was identified between greater number of physicians and surgeons in the county of residence and recommended echocardiogram (for every additional 1000 physicians and surgeons: OR 1.12, 95% CI, 1.01-1.23). We found no association between population-level factors and mammography screening.

conclusionsPopulation socioeconomic disparities moderately affect childhood cancer survivors' risk-based medical care and screening after accounting for individual sociodemographic and health factors.

Indexed as

Social ClassCancer SurvivorsChildCommunity Health PlanningFemaleHumansMalechildhood cancer survivorhealth disparitiespopulation-level factorsscreeningsocioeconomic status

Identifiers

PMID27754726
PMCPMC5346913

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.