Evidence map›Paper›PMID 28484062›Full record

ArticleJournal of the American Board of Family Medicine : JABFM

When Primary Care Providers (PCPs) Help Patients Choose Prostate Cancer Treatment.

Archana Radhakrishnan, David Grande, Michelle Ross, Nandita Mitra, Justin Bekelman, Christian Stillson, Craig Evan Pollack

Abstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM. 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
–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

7 citing papers in PubMed.

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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

7 authors.

Archana RadhakrishnanFrom the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP). aradhak3@jhu.edu.
David GrandeFrom the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
Michelle RossFrom the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
Nandita MitraFrom the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
Justin BekelmanFrom the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
Christian StillsonFrom the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).
Craig Evan PollackFrom the Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD (AR, CEP); the Division of General Internal Medicine, Hospital of the University of Pennsylvania Philadelphia (DG, CS); the Department of Biostatistics and Epidemiology, Hospital of the University of Pennsylvania (MR, NM); the Department of Radiation Oncology, Hospital of the University of Pennsylvania (JB); and the Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore (CEP).

Funding

BEHAVIORAL RESEARCH IN HEART &VASCULAR DISEASET32HL007180 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MARUTHUR, NISA M · 1985 to 2020
$11.4M
Research Traiing/Education CoreP60MD006900 · NIMHD · UNIVERSITY OF PENNSYLVANIA · PI REBBECK, TIMOTHY R · 2012 to 2016
$6.6M
Effectiveness of Radiotherapy for Prostate CancerK07CA163616 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BEKELMAN, JUSTIN · 2012 to 2016
$875k
A Network Analytic Approach to Modeling Variation in Prostate Cancer CareK07CA151910 · NCI · JOHNS HOPKINS UNIVERSITY · PI POLLACK, CRAIG EVAN · 2011 to 2015
$780k
NCI NIH HHS K07 CA151910NCI NIH HHS K07 CA163616NHLBI NIH HHS T32 HL007180NIMHD NIH HHS P60 MD006900
6 · The paper itself

Abstract

backgroundThe role of primary care providers (PCPs) in decision making around cancer care remains largely unknown. We evaluated how frequently men with localized prostate cancer report receiving help from their PCP about their treatment, and whether those men who do are less likely to receive definitive treatment.

methodsWe mailed surveys to men newly diagnosed with localized prostate cancer between 2012 and 2014 in the greater Philadelphia region. Participants were asked whether their PCP helped decide how to treat their cancer. The outcome was receipt of definitive treatment (either radical prostatectomy or radiotherapy).

resultsA total of 2386 men responded (adjusted response rate, 51.1%). Among these men, 38.2% reported receiving help from their PCP regarding choosing a treatment, and 79.6% received definitive treatment. In adjusted analyses, non-Hispanic black men (odds ratio, 1.76; 95% confidence interval, 1.37-2.27) were more likely than non-Hispanic white men to report receiving help from their PCP. However, men who did receive help were not more likely to forgo definitive treatment overall (

conclusionsThough a substantial proportion of men reported receiving help from their PCP about prostate cancer treatment, these discussions were not associated with different treatment patterns. Further effort is needed to determine how to optimize the role of PCPs in supporting patients to make preference-sensitive cancer decisions.

Indexed as

Clinical Decision-MakingPhysician's RoleAdenocarcinomaAdultAgedAged, 80 and overHumansMaleMiddle AgedPatient ParticipationPatient PreferencePhiladelphiaPhysician-Patient RelationsPractice Patterns, Physicians'Primary Health CareProstatectomyPhiladelphiaPrimary Care PhysiciansPrimary Health CareProstate CancerSurveys and Questionnaires

Identifiers

PMID28484062
PMCPMC5870832

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.