Evidence map›Paper›PMID 25613117›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2015

Projecting Benefits and Harms of Novel Cancer Screening Biomarkers: A Study of PCA3 and Prostate Cancer.

Jeanette K Birnbaum, Ziding Feng, Roman Gulati, Jing Fan, Yair Lotan, John T Wei, Ruth Etzioni

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. E-Science technologies in a workflow for personalized medicine using cancer screening as a case study.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  5. What's new in screening in 2015?Current opinion in urology · 2016
    Review
  6. Review
  7. Article
  8. Article
  9. The regulatory roles of long noncoding RNAs in the biological behavior of pancreatic cancer.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association
    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

7 authors at 1 institution in 1 country.

Jeanette K BirnbaumDepartment of Health Services, University of Washington, Seattle, Washington. kurian@uw.edu.
Ziding FengMD Anderson Cancer Center, Houston, Texas. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington. Department of Biostatistics, University of Washington, Seattle, Washington.
Roman GulatiDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Jing FanDepartment of Biostatistics, University of Washington, Seattle, Washington.
Yair LotanDepartment of Urology, UT Southwestern Medical Center at Dallas, Dallas, Texas.
John T WeiDepartment of Urology, University of Michigan, Ann Arbor, Michigan.
Ruth EtzioniDepartment of Health Services, University of Washington, Seattle, Washington. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington. Department of Biostatistics, University of Washington, Seattle, Washington.
Fred Hutch Cancer Center · US

Funding

Modeling prostate cancer control: prevention, screening, treatment, followup careU01CA157224 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DE KONING, HARRY J, ETZIONI, RUTH D · 2010 to 2014
$5.3M
NCI NIH HHS U01 CA157224NCI NIH HHS U01CA157224
6 · The paper itself

Abstract

backgroundNew biomarkers for early detection of cancer must pass through several phases of development. Early phases provide information on diagnostic properties but not on population benefits and harms. Prostate cancer antigen 3 (PCA3) is a promising prostate cancer biomarker still in early development. We use simulation modeling to project the impact of adding PCA3 to prostate-specific antigen (PSA) screening on prostate cancer detection and mortality in the United States.

methodsWe used data from a recent study of PCA3 in men referred for prostate biopsy to extend an existing simulation model of PSA growth, disease progression, and survival. We specified several PSA-PCA3 strategies designed to improve specificity and reduce overdiagnosis. Using these strategies to screen a cohort of men biennially between ages 50 and 74, we projected true- and false-positive tests, overdiagnoses, and lives saved relative to a PSA-based strategy with a cutoff of 4.0 ng/mL for biopsy referral.

resultsWe identified several PSA-PCA3 strategies that substantially reduced false-positive tests and overdiagnoses while preserving the majority of lives saved. PCA3>35 for biopsy referral in men with PSA between 4.0 and 10.0 ng/mL retained 85% of lives saved while approximately halving false positives and reducing overdiagnoses by 25%.

conclusionsAdding PCA3 to PSA screening can significantly reduce adverse screening outcomes. Strategies can be identified that preserve most of the lives saved relative to PSA-based screening. IMPACT: Simulation modeling provides advance projections of population outcomes of new screening biomarkers and may help guide early detection research.

Indexed as

AgedAntigens, NeoplasmBiomarkers, TumorComputer SimulationEarly Detection of CancerFalse Positive ReactionsHumansMaleMedical OveruseMiddle AgedPredictive Value of TestsProstatic NeoplasmsSensitivity and SpecificityAntigens, NeoplasmBiomarkers, Tumorprostate cancer antigen 3, human

Identifiers

PMID25613117
PMCPMC4383671
OpenAlexW2051029602

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.