Evidence map›Paper›PMID 34386976›Full record

ArticleHealth services research2022

Primary care physician continuity, survival, and end-of-life care intensity.

Peiyin Hung, Laura D Cramer, Craig E Pollack, Cary P Gross, Shi-Yi Wang

Open access · greenAbstract read
In one paragraph

Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 9 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

5 authors at 3 institutions in 1 country.

Peiyin HungDepartment of Health Services Policy and Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA.ORCID 0000-0002-1529-0819
Laura D CramerCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale University School of Medicine, New Haven, Connecticut, USA.
Craig E PollackDivision of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Cary P GrossCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale University School of Medicine, New Haven, Connecticut, USA.
Shi-Yi WangCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center and Yale University School of Medicine, New Haven, Connecticut, USA.
Yale Cancer Center · USJohns Hopkins University · USUniversity of South Carolina · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Division of Cancer Prevention, National Cancer Institute P30 CA01635933NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

objectiveTo examine the associations of primary care physician (PCP) care continuity with cancer-specific survival and end-of-life care intensity. DATA SOURCES: Surveillance, epidemiology, and end results linked to Medicare claims data from 2001 to 2015. STUDY

designCox proportional hazards models with mixed effects and hierarchical generalized logistic models were used to examine the associations of PCP care continuity with cancer-specific survival and end-of-life care intensity, respectively. PCP care continuity, defined as having visited the predominant PCP (who saw the patient most frequently before diagnosis) within 6 months of diagnosis. DATA EXTRACTION

methodsWe identified Medicare patients diagnosed at age 66.5-94 years with stage-III or IV poor-prognosis cancer during 2001-2012 and followed them up until 2015. Patients who died within 6 months after diagnosis were excluded. PRINCIPAL

findingsPrimary study cohort consisted of 85,467 patients (median survival 22 months), 71.7% of whom had PCP care continuity. Patients with PCP care continuity tended to be older, married, nonblack, non-Hispanic, and to have fewer comorbid conditions (p < 0.001 for all). Patients with PCP care continuity had lower cancer-specific mortality (adjusted hazard ratio: 0.93; 95% confidence interval [CI]: 0.91 to 0.95; p = 0.001) than did those without PCP care continuity. Findings of the 2001-2003 cohorts (nearly all of whom died by 2015) show no associations of overall end-of-life care intensity measures with PCP care continuity (adjusted marginal effects: 0.005; 95% CI: -0.016 to 0.026; p = 0.264).

conclusionsAmong Medicare beneficiaries with advanced poor-prognosis cancer, PCP continuity was associated with modestly improved survival without raising overall aggressive end-of-life care.

Indexed as

NeoplasmsPhysicians, Primary CareTerminal CareAgedAged, 80 and overContinuity of Patient CareHumansMedicareRetrospective StudiesUnited Statescancer/oncologycare continuityend of lifeprimary care physicianprospective cohort studysurvival analysis

Identifiers

PMID34386976
PMCPMC9264461
OpenAlexW3191208210

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.