Evidence map›Paper›PMID 26948397›Full record

ArticleEuropean urology2016

Overall Survival in Patients with Localized Prostate Cancer in the US Veterans Health Administration: Is PIVOT Generalizable?

Philip V Barbosa, I-Chun Thomas, Sandy Srinivas, Mark K Buyyounouski, Benjamin I Chung, Glenn M Chertow, Steven M Asch, Todd H Wagner, James D Brooks, John T Leppert

Registry-linked trialAbstract read
In one paragraph

Article in European urology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00265512 (Improving Longterm SUD Outcomes With Telephone Case Monitoring), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT00265512 nacompletednot on this map

Improving Longterm SUD Outcomes With Telephone Case Monitoring

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2006 to 2010Enrolled667ConditionsAlcohol Dependence, Drug DependenceArmsTelephone Case Monitoring, Continuing Care as Usual
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Philip V BarbosaDepartment of Urology, Stanford University School of Medicine, Stanford, CA, USA.
I-Chun ThomasDepartment of Urology, Stanford University School of Medicine, Stanford, CA, USA.
Sandy SrinivasDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Mark K BuyyounouskiVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Benjamin I ChungDepartment of Urology, Stanford University School of Medicine, Stanford, CA, USA.
Glenn M ChertowDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Steven M AschDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Todd H WagnerVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
James D BrooksDepartment of Urology, Stanford University School of Medicine, Stanford, CA, USA.
John T LeppertDepartment of Urology, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA. Electronic address: jleppert@stanford.edu.

Funding

New Tools for Prostate Cancer Detection and PrognosticationU01CA152737 · NCI · STANFORD UNIVERSITY · PI BROOKS, JAMES D., GAMBHIR, SANJIV S · 2010 to 2015
$2.8M
Mentoring Patient-Oriented Clinical Investigators in NephrologyK24DK085446 · NIDDK · STANFORD UNIVERSITY · PI CHERTOW, GLENN MATTHEW · 2010 to 2022
$1.4M
Renal Morbidity Following Kidney Cancer SurgeryK23DK089086 · NIDDK · STANFORD UNIVERSITY · PI LEPPERT, JOHN THOMAS · 2010 to 2014
$767k
NCI NIH HHS U01 CA152737NIDDK NIH HHS K23 DK089086NIDDK NIH HHS K24 DK085446
6 · The paper itself

Abstract

unlabelledA better understanding of overall survival among patients with clinically localized prostate cancer (PCa) in the US Veterans Health Administration (VHA) is critical to inform PCa treatment decisions, especially in light of data from the Prostate Intervention Versus Observation Trial (PIVOT). We sought to describe patterns of survival for all patients with clinically localized PCa treated by the VHA. We created an analytic cohort of 35 954 patients with clinically localized PCa diagnosed from 1995 to 2001, approximating the PIVOT inclusion criteria (age of diagnosis ≤75 yr and clinical stage T2 or lower). Mean patient age was 65.9 yr, and median follow-up was 161 mo. Overall, 22.5% of patients were treated with surgery, 16.6% were treated with radiotherapy, and 23.1% were treated with androgen deprivation. Median survival of the entire cohort was 14 yr (25th, 75th percentiles, range: 7.9-20 yr). Among patients who received treatment with curative intent, median survival was 17.9 yr following surgery and 12.9 yr following radiotherapy. One-third of patients died within 10 yr of diagnosis compared with nearly half of the participants in PIVOT. This finding sounds a note of caution when generalizing the mortality data from PIVOT to VHA patients and those in the community. PATIENT SUMMARY: More than one-third of patients diagnosed with clinically localized prostate cancer treated through the US Veterans Health Administration from 1995 to 2001 died within 10 yr of their diagnosis. Caution should be used when generalizing the estimates of competing mortality data from PIVOT.

Indexed as

ProstatectomyProstatic NeoplasmsRadiotherapyAgedAndrogen AntagonistsHumansMaleMiddle AgedNeoplasm StagingPatient SelectionSurvival AnalysisUnited StatesVeterans HealthAndrogen AntagonistsCompeting risks of mortalityProstate cancerSurvivalVeterans Health Administration

Identifiers

PMID26948397
PMCPMC4927398

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Registered trials

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.