Evidence map›Paper›PMID 31013571›Full record

ArticleJournal of personalized medicine2019

A Tool for Shared Decision Making on Referral for Prostate Biopsy in the Primary Care Setting: Integrating Risks of Cancer with Life Expectancy.

Jan F M Verbeek, Daan Nieboer, Chris Parker, Michael W Kattan, Ewout W Steyerberg, Monique J Roobol

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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 4 institutions in 3 countries.

Jan F M VerbeekDepartment of Urology, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands. j.f.m.verbeek@erasmusmc.nl.ORCID 0000-0002-6880-561X
Daan NieboerDepartment of Urology, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands. d.nieboer@erasmusmc.nl.
Chris ParkerDepartment of Academic Urology, Royal Marsden Hospital, Sutton SM2 5PT, UK. chris.parker@icr.ac.uk.
Michael W KattanDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH 44195, USA. kattanm@ccf.org.ORCID 0000-0002-3840-4161
Ewout W SteyerbergDepartment of Public Health, Erasmus Medical Center, 3000 CA Rotterdam, The Netherlands. E.W.Steyerberg@lumc.nl.ORCID 0000-0002-7787-0122
Monique J RoobolDepartment of Urology, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands. m.roobol@erasmusmc.nl.
Erasmus MC · NLCleveland Clinic · USLeiden University Medical Center · NLRoyal Marsden Hospital · GB

Funding

Prostate Cancer UK PG15-001-RK
6 · The paper itself

Abstract

Prostate cancer (PCa) testing involves a complex individually based decision making process. It should consider competing risks from other comorbidities when estimating a survival benefit from the early detection of clinically significant (cs)PCa. We aimed to develop a prediction tool that provides concrete advice for the general practitioner (GP) on whether to refer a man for further assessment. We hereto combined the probability of detecting csPCa and the potential overall survival benefit from early detection and treatment. The PCa detection probabilities were derived from 3616 men enrolled in the Dutch arm of the European Randomized Study of Screening for Prostate Cancer (ERSPC). Survival estimates were derived from 19,834 men from the Surveillance, Epidemiology, and End Results (SEER) registry, ERSPC, and Dutch life tables. Treatment benefit was estimated from the Prostate Cancer Intervention versus Observation Trial (PIVOT,

Indexed as

life expectancymortalityprediction modelprostate cancerprostate cancer survivalscreeningtreatment

Identifiers

PMID31013571
PMCPMC6617187
OpenAlexW2937587147

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.