Evidence map›Paper›PMID 28029586›Full record

ArticleJournal of geriatric oncology2017

Social determinants, multimorbidity, and patterns of end-of-life care in older adults dying from cancer.

Siran M Koroukian, Nicholas K Schiltz, David F Warner, Charles W Given, Mark Schluchter, Cynthia Owusu, Nathan A Berger

Abstract read
In one paragraph

Article in Journal of geriatric oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Factors Affecting Hospice Use Among Adolescents and Young Adult Cancer Patients.Journal of adolescent and young adult oncology · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Understanding Treatment Tolerability in Older Adults With Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Siran M KoroukianDepartment of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States; Case Comprehensive Cancer Center, Cleveland, Ohio, United States; Population Health and Outcomes Research Core, Clinical and Translational Science Collaborative, Case Western Reserve University, Cleveland, Ohio, United States. Electronic address: skoroukian@case.edu.
Nicholas K SchiltzDepartment of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States; Population Health and Outcomes Research Core, Clinical and Translational Science Collaborative, Case Western Reserve University, Cleveland, Ohio, United States.
David F WarnerDepartment of Sociology, University of Nebraska-Lincoln, Lincoln, Nebraska.
Charles W GivenDepartment of Family Medicine, Michigan State University, East Lansing, Michigan, United States.
Mark SchluchterDepartment of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States; Case Comprehensive Cancer Center, Cleveland, Ohio, United States.
Cynthia OwusuCase Comprehensive Cancer Center, Cleveland, Ohio, United States; Department of Medicine, Division of Hematology/Oncology, University Hospitals of Cleveland, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States.
Nathan A BergerCase Comprehensive Cancer Center, Cleveland, Ohio, United States; Department of Medicine, Division of Hematology/Oncology, University Hospitals of Cleveland, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States.

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Drew James Adams · 1987 to 2026
$142.3M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
Prevention Research Center for Healthy NeighborhoodsU48DP005030 · DP · CASE WESTERN RESERVE UNIVERSITY · PI BORAWSKI, ELAINE A. · 2014 to 2018
$6.8M
Reducing Functional Health Disparities among Older Breast Cancer SurvivorsR01MD009699 · NIMHD · CASE WESTERN RESERVE UNIVERSITY · PI OWUSU, CYNTHIA · 2015 to 2019
$2.8M
Combination of chronic conditions determining clinical relevance and resource useR21HS023113 · AHRQ · CASE WESTERN RESERVE UNIVERSITY · PI KOROUKIAN, SIRAN M. · 2014 to 2014
$179k
ACL HHS U48DP005030AHRQ HHS R21 HS023113NCATS NIH HHS KL2 TR000440NCATS NIH HHS UL1 TR000439NCCDPHP CDC HHS U48 DP005030NCI NIH HHS P30 CA043703NIMHD NIH HHS R01 MD009699
6 · The paper itself

Abstract

objectiveMost prior studies on aggressive end-of-life care in older patients with cancer have accounted for social determinants of health (e.g., race, income, and education), but rarely for multimoribidity (MM). In this study, we examine the association between end-of-life care and each of the social determinants of health and MM, hypothesizing that higher MM is associated with less aggressive care.

methodsFrom the linked 1991-2008 Health and Retirement Study, Medicare data, and the National Death Index, we identified fee-for-service patients age ≥66years who died from cancer (n=835). MM was defined as the occurrence or co-occurrence of chronic conditions, functional limitations, and/or geriatric syndromes. Aggressive care was based on claims-derived measures of receipt of cancer-directed treatment in the last two weeks of life; admission to the hospital and/or emergency department (ED) within the last month; and in-hospital death. We also identified patients enrolled in hospice. In multivariable logistic regression models, we analyzed the associations of interest, adjusting for potential confounders.

resultsWhile 61.2% of the patients enrolled in hospice, 24.6% underwent cancer-directed treatment; 55.1% were admitted to the hospital and/or ED; and 21.7% died in the hospital. We observed a U-shaped distribution between income and in-hospital death. Chronic conditions and geriatric syndromes were associated with some outcomes, but not with others.

conclusionsTo improve quality end-of-life care and curtail costs incurred by dying patients, relevant interventions need to account for social determinants of health and MM in a nuanced fashion.

Indexed as

Socioeconomic FactorsAgedAged, 80 and overAge FactorsEmergency Service, HospitalFemaleHealth SurveysHospicesHospital MortalityHumansLogistic ModelsMaleMultimorbidityNeoplasmsPopulation SurveillanceQuality of Health CareChronic conditionsEnd-of-life careFunctional limitationsGeriatric syndromesHospiceSocial determinants of health

Identifiers

PMID28029586
PMCPMC5373955

What OpenQuestion holds

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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.