Evidence map›Paper›PMID 34023874›Full record

ArticleAmerican journal of epidemiology2021

Clarifying the Trade-Offs of Risk-Stratified Screening for Prostate Cancer: A Cost-Effectiveness Study.

Nathaniel Hendrix, Roman Gulati, Boshen Jiao, A Karim Kader, Stephen T Ryan, Ruth Etzioni

Abstract read
In one paragraph

Article in American journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 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.

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

11 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Can polygenic risk scores contribute to cost-effective cancer screening? A systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Pooled it
  5. Article
  6. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
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.

Nathaniel Hendrix
Roman Gulati
Boshen Jiao
A Karim Kader
Stephen T Ryan
Ruth Etzioni

Funding

Developing Data-Driven Cancer ResearchersT32CA009168 · NCI · UNIVERSITY OF WASHINGTON · PI STEPHEN M SCHWARTZ, MICHAEL Chiao-An WU · 1985 to 2026
$10.1M
Modeling Precision Interventions for Prostate Cancer ControlU01CA253915 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ETZIONI, RUTH D, TSODIKOV, ALEXANDER · 2020 to 2025
$6.5M
Modeling to Improve Prostate Cancer Outcomes Across Diverse PopulationsU01CA199338 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DE KONING, HARRY J, ETZIONI, RUTH D · 2015 to 2019
$5.2M
Statistical modeling to support population and translational cancer researchR50CA221836 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Roman Gulati · 2017 to 2026
$2.0M
NCI NIH HHS R50 CA221836NCI NIH HHS T32 CA009168NCI NIH HHS U01 CA199338NCI NIH HHS U01 CA253915
6 · The paper itself

Abstract

Cancer risk prediction is necessary for precision early detection, which matches screening intensity to risk. However, practical steps for translating risk predictions to risk-stratified screening policies are not well established. We used a validated population prostate-cancer model to simulate the outcomes of strategies that increase intensity for men at high risk and reduce intensity for men at low risk. We defined risk by the Prompt Prostate Genetic Score (PGS) (Stratify Genomics, San Diego, California), a germline genetic test. We first recalibrated the model to reflect the disease incidence observed within risk strata using data from a large prevention trial where some participants were tested with Prompt PGS. We then simulated risk-stratified strategies in a population with the same risk distribution as the trial and evaluated the cost-effectiveness of risk-stratified screening versus universal (risk-agnostic) screening. Prompt PGS risk-adapted screening was more cost-effective when universal screening was conservative. Risk-stratified strategies improved outcomes at a cost of less than $100,000 per quality-adjusted life year compared with biennial screening starting at age 55 years, but risk stratification was not cost-effective compared with biennial screening starting at age 45. Heterogeneity of risk and fraction of the population within each stratum were also important determinants of cost-effectiveness.

Indexed as

AdultAgedClinical Trials as TopicComputer SimulationCost-Benefit AnalysisEarly Detection of CancerGenetic TestingHumansIncidenceMaleMiddle AgedProstatic NeoplasmsQuality-Adjusted Life Yearscancer screeningcost-effectiveness analysisgenetic risk factorsmodeling studyprostate cancer

Identifiers

PMID34023874
PMCPMC8576386

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.