Evidence map›Paper›PMID 26702631›Full record

ArticleAmerican journal of epidemiology2016

A System Dynamics Model of Serum Prostate-Specific Antigen Screening for Prostate Cancer.

Anton Palma, David W Lounsbury, Nicolas F Schlecht, Ilir Agalliu

Erratum issuedOpen access · bronzeAbstract readValidation Study
In one paragraph

Article in American journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. A System Dynamics Simulation Applied to Healthcare: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
  3. [Progress on the application of system dynamics model in the field of health management].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Anton Palma
David W Lounsbury
Nicolas F Schlecht
Ilir Agalliu

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI STEVEN C. ALMO · 1985 to 2026
$111.2M
Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
Global HIV Implementation Science Research Training Grant RenewalT32AI114398 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Yael R Hirsch-Moverman · 2014 to 2026
$4.1M
NCATS NIH HHS UL1 TR001073NCI NIH HHS P30 CA013330NIAID NIH HHS T32 AI114398NIAID NIH HHS T32AI114398
6 · The paper itself

Abstract

Since 2012, US guidelines have recommended against prostate-specific antigen (PSA) screening for prostate cancer. However, evidence of screening benefit from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening trial and the European Randomized Study of Screening for Prostate Cancer has been inconsistent, due partly to differences in noncompliance and contamination. Using system dynamics modeling, we replicated the PLCO trial and extrapolated follow-up to 20 years. We then simulated 3 scenarios correcting for contamination in the PLCO control arm using Surveillance, Epidemiology, and End Results (SEER) incidence and survival data collected prior to the PSA screening era (scenario 1), SEER data collected during the PLCO trial period (1993-2001) (scenario 2), and data from the European trial's control arm (1991-2005) (scenario 3). In all scenarios, noncompliance was corrected using incidence and survival rates for men with screen-detected cancer in the PLCO screening arm. Scenarios 1 and 3 showed a benefit of PSA screening, with relative risks of 0.62 (95% confidence interval: 0.53, 0.72) and 0.70 (95% confidence interval: 0.59, 0.83) for cancer-specific mortality after 20 years, respectively. In scenario 2, however, there was no benefit of screening. This simulation showed that after correcting for noncompliance and contamination, there is potential benefit of PSA screening in reducing prostate cancer mortality. It also demonstrates the utility of system dynamics modeling for synthesizing epidemiologic evidence to inform public policy.

Indexed as

Mass ScreeningModels, TheoreticalSystems AnalysisComputer SimulationHumansMaleProstate-Specific AntigenProstatic NeoplasmsProstate-Specific Antigencancer-specific mortalitypolicy evaluationprostate cancerprostate-specific antigen screeningsystem dynamics modeling

Identifiers

PMID26702631
PMCPMC4724096
OpenAlexW2270837951

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.