Evidence map›Paper›PMID 25119954›Full record

ArticleMedical care2014

Elderly breast and colorectal cancer patients' clinical course: patient and contextual influences.

Elizabeth B Lamont, Alan M Zaslavsky, Subu V Subramanian, Ashley E Meilleur, Yulei He, Mary B Landrum

Open access · greenAbstract read
In one paragraph

Article in Medical care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 35% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Elizabeth B Lamont*Massachusetts General Hospital Cancer Center Departments of †Medicine ‡Health Care Policy, Harvard Medical School §Department of Society, Human Development and Health, Harvard School of Public Health, Boston, MA.
Alan M Zaslavsky
Subu V Subramanian
Ashley E Meilleur
Yulei He
Mary B Landrum
Harvard University · US

Funding

The Spread of Health Behaviors in the Framingham Heart Study Social NetworkP01AG031093 · NIA · YALE UNIVERSITY · PI CHRISTAKIS, NICHOLAS A · 2008 to 2012
$10.7M
Development of Hierarchical Neighborhood Data Regarding Cancer in the ElderlyR21AG030607 · NIA · HARVARD MEDICAL SCHOOL · PI LAMONT, ELIZABETH B · 2007 to 2008
$499k
NIA NIH HHS P01 AG031093NIA NIH HHS R21 AG030607
6 · The paper itself

Abstract

backgroundThe social and medical environments that surround people are each independently associated with their cancer course. The extent to which these characteristics may together mediate patients' cancer care and outcomes is not known.

methodsUsing multilevel methods and data, we studied elderly breast and colorectal cancer patients (level I) within urban social (level II: ZIP code tabulation area) and health care (level III: hospital service area) contexts. We sought to determine (1) which, if any, observable social and medical contextual attributes were associated with patient cancer outcomes after controlling for observable patient attributes, and (2) the magnitude of residual variation in patient cancer outcomes at each level.

resultsNumerous patient attributes and social area attributes, including poverty, were associated with unfavorable patient cancer outcomes across the full clinical cancer continuum for both cancers. Health care area attributes were not associated with patient cancer outcomes. After controlling for observable covariates at all 3 levels, there was substantial residual variation in patient cancer outcomes at all levels.

conclusionsAfter controlling for patient attributes known to confer risk of poor cancer outcomes, we find that neighborhood socioeconomic disadvantage exerts an independent and deleterious effect on residents' cancer outcomes, but the area supply of the specific types of health care studied do not. Multilevel interventions targeted at cancer patients and their social areas may be useful. We also show substantial residual variation in patient outcomes across social and health care areas, a finding potentially relevant to traditional small area variation research methods.

Indexed as

AgedAged, 80 and overAge FactorsBreast NeoplasmsColorectal NeoplasmsFemaleHealth Services AccessibilityHumansMaleMedicareResidence CharacteristicsSEER ProgramSmall-Area AnalysisSocioeconomic FactorsTreatment OutcomeUnited States

Identifiers

PMID25119954
PMCPMC4159676
OpenAlexW2038078472

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.