Evidence map›Paper›PMID 25397964›Full record

ArticleMedical care2015

Are Elderly Patients With Clinically Localized Prostate Cancer Overtreated? Exploring Heterogeneity in Survival Effects.

Anirban Basu, John L Gore

Open access · greenAbstract read
In one paragraph

Article in Medical care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. A Machine-Learning Approach for Estimating Subgroup- and Individual-Level Treatment Effects: An Illustration Using the 65 Trial.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Article
  5. Article
  6. Comparative effectiveness of gastric bypass and sleeve gastrectomy on predicted 10-year risk of cardiovascular disease 5 years after surgery.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2022
    Article
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  9. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Anirban BasuDepartments of *Health Services, Pharmacy and Economics †Urology, University of Washington, Seattle, WA.
John L Gore
University of Washington · US

Funding

Advancing Instrumental Variable Methods in Comparative Effectiveness ResearchRC4CA155809 · NCI · UNIVERSITY OF WASHINGTON · PI BASU, ANIRBAN · 2010 to 2010
$1.5M
Instrumental Variable Methods for Censored Cost Data and an Application in ProstaR01CA155329 · NCI · UNIVERSITY OF WASHINGTON · PI BASU, ANIRBAN · 2011 to 2013
$1.3M
NCI NIH HHS N01 PC035136NCI NIH HHS N01 PC035139NCI NIH HHS N01-PC-35136NCI NIH HHS N01-PC-35139NCI NIH HHS N02 PC015105NCI NIH HHS N02-PC-15105NCI NIH HHS R01 CA155329NCI NIH HHS R01CA155329NCI NIH HHS RC4 CA155809NCI NIH HHS RC4CA155809PHS HHS U55/CCR921930-02
6 · The paper itself

Abstract

backgroundClinical trial evidence shows minimal survival gains and higher complication rates from radical prostatectomy (RP) versus watchful waiting (WW) for elderly men with localized prostate cancer (PCa). It is believed that these patients are overtreated. The current analyses aim to explore patient-level heterogeneity in survival effects, examine matching of patients to treatments in practice, and identify patient characteristics driving heterogenous effects, in order to present more comprehensive evidence about the concerns of overtreatment.

methodsEleven-year all-cause and PCa-specific survival among SEER-Medicare patients diagnosed during 1996-2002 were analyzed using local instrumental variable approaches.

resultsA total of 8462 (77%) of 11,036 patients received RP. The average effects of RP over WW on 11-year overall and cancer-specific survival were 1.1 months (95%CI, -25, 28; P=0.94) and 1.7 months (95%CI, -25, 29; P=0.90) respectively; effects did not differ significantly according to age, race, grade, and stage. Fewer than 1% of patients had significant cancer-specific survival benefit from RP at the 10% level; 6% were expected to gain over 15 months from RP. However, patients with larger expected survival gains from RP were much more likely to receive RP in practice. Such positive self-selection was driven by PCa-specific survival than overall survival. Several comorbidities may play a critical role in predicting who could benefit from RP.

conclusionsOur analyses corroborate concerns about PCa overtreatment. A small fraction of screen-detected PCa patients derive survival benefits from RP. Prediction tools should account for patient comorbidities to accurately predict survival benefits of RP over WW.

Indexed as

AgedAged, 80 and overAge FactorsComorbidityHumansMaleMedicareProstatectomyProstatic NeoplasmsRacial GroupsSEER ProgramSeverity of Illness IndexSurvival AnalysisUnited StatesWatchful Waiting

Identifiers

PMID25397964
PMCPMC5845767
OpenAlexW2312509683

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.