Evidence map›Paper›PMID 21189374›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2011

What is the true number needed to screen and treat to save a life with prostate-specific antigen testing?

Stacy Loeb, Edward F Vonesh, E Jeffrey Metter, H Ballentine Carter, Peter H Gann, William J Catalona

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
10.8field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.

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  3. Prostate-cancer mortality at 11 years of follow-up.The New England journal of medicine · 2012
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Stacy LoebBrady Urological Institute, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Edward F Vonesh
E Jeffrey Metter
H Ballentine Carter
Peter H Gann
William J Catalona
Brady (Norway) · NONorthwestern University · US

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
SUPPRESSIVE ROLE OF ANDROGEN RESPONSE GENE CALRETICULIN IN PROSTATE CANCERP50CA090386 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LEE, CHUNG · 2001 to 2013
$25.1M
MULTIDISCIPLINARY CLINICAL AND TRANSLATIONAL SCIENCE (MCTS) PROGRAM (UL1)UL1RR025741 · NCRR · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GREENLAND, PHILIP · 2008 to 2011
$24.7M
Health And Disease Status In The Blsa--the Prostate GlandZIAAG000633 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2012
$328k
Intramural NIH HHSNCI NIH HHS P30 CA060553NCI NIH HHS P30 CA60553NCI NIH HHS P50 CA090386NCI NIH HHS P50 CA90386-05S2NCRR NIH HHS UL1 RR025741
6 · The paper itself

Abstract

purposeThe European Randomized Study of Screening for Prostate Cancer (ERSPC) reported a 20% mortality reduction with prostate-specific antigen (PSA) screening. However, they estimated a number needed to screen (NNS) of 1,410 and a number needed to treat (NNT) of 48 to prevent one prostate cancer death at 9 years. Although NNS and NNT are useful statistics to assess the benefits and harms of an intervention, in a survival study setting such as the ERSPC, NNS and NNT are time specific, and reporting values at one time point may lead to misinterpretation of results. Our objective was to re-examine the effect of varying follow-up times on NNS and NNT using data extrapolated from the ERSPC report. MATERIALS AND

methodsOn the basis of published ERSPC data, we modeled the cumulative hazard function using a piecewise exponential model, assuming a constant hazard of 0.0002 for the screening and control groups for years 1 to 7 of the trial and different constant rates of 0.00062 and 0.00102 for the screening and control groups, respectively, for years 8 to 12. Annualized cancer detection and drop-out rates were also approximated based on the observed number of individuals at risk in published ERSPC data.

resultsAccording to our model, the NNS and NNT at 9 years were 1,254 and 43, respectively. Subsequently, NNS decreased from 837 at year 10 to 503 at year 12, and NNT decreased from 29 to 18.

conclusionDespite the seemingly simplistic nature of estimating NNT, there is widespread misunderstanding of its pitfalls. With additional follow-up in the ERSPC, if the mortality difference continues to grow, the NNT to save a life with PSA screening will decrease.

Indexed as

Mass ScreeningSample SizeData Interpretation, StatisticalEuropeHumansLife TablesMalePredictive Value of TestsPrognosisProstate-Specific AntigenProstatic NeoplasmsRandomized Controlled Trials as TopicRisk AssessmentRisk FactorsSurvival AnalysisSurvival RateProstate-Specific Antigen

Identifiers

PMID21189374
PMCPMC3058289
OpenAlexW2146642617

What OpenQuestion holds

Textmetadata
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.