Evidence map›Paper›PMID 29402176›Full record

ArticleStatistical methods in medical research2019

Estimating the frequency of indolent breast cancer in screening trials.

Yu Shen, Wenli Dong, Roman Gulati, Marc D Ryser, Ruth Etzioni

Abstract read
In one paragraph

Article in Statistical methods in medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A Comparison of Methods for Modeling Multistate Cancer Progression Using Screening Data with Censoring after Intervention.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
  3. Modeling the Impact of Multicancer Early Detection Tests: A Review of Natural History of Disease Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Review
  4. Article
  5. Article
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  7. Review
  8. 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

5 authors.

Yu Shen1 Department of Biostatistics, MD Anderson Cancer Center, Houston, TX, USA.
Wenli Dong1 Department of Biostatistics, MD Anderson Cancer Center, Houston, TX, USA.
Roman Gulati2 Program in Biostatistics, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0002-7592-6567
Marc D Ryser3 Department of Surgery, Division of Advanced Oncologic and GI Surgery, Duke University Medical Center, Durham, NC, USA.
Ruth Etzioni2 Program in Biostatistics, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Estimating Overdiagnosis in Cancer Screening StudiesR01CA192402 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ETZIONI, RUTH D · 2015 to 2018
$2.3M
Statistical modeling to support population and translational cancer researchR50CA221836 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Roman Gulati · 2017 to 2026
$2.0M
The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer RiskR00CA207872 · NCI · DUKE UNIVERSITY · PI RYSER, MARC · 2018 to 2020
$746k
The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer RiskK99CA207872 · NCI · DUKE UNIVERSITY · PI RYSER, MARC · 2016 to 2017
$318k
NCI NIH HHS K99 CA207872NCI NIH HHS P30 CA016672NCI NIH HHS R00 CA207872NCI NIH HHS R01 CA192402NCI NIH HHS R50 CA221836
6 · The paper itself

Abstract

Cancer screening can detect cancer that would not have been detected in a patient's lifetime without screening. Standard methods for analyzing screening data do not explicitly account for the possibility that a fraction of tumors may remain latent indefinitely. We extend these methods by representing cancers as a mixture of those that progress to symptoms (progressive) and those that remain latent (indolent). Given sensitivity of the screening test, we derive likelihood expressions to simultaneously estimate (1) the rate of onset of preclinical cancer, (2) the average preclinical duration of progressive cancers, and (3) the fraction of preclinical cancers that are indolent. Simulations demonstrate satisfactory performance of the estimation approach to identify model parameters subject to precise specifications of input parameters and adequate numbers of interval cancers. In application to four breast cancer screening trials, the estimated indolent fraction among preclinical cancers varies between 2% and 35% when assuming 80% test sensitivity and varying specifications for the earliest time that participants could plausibly have developed cancer. We conclude that standard methods for analyzing screening data can be extended to allow some indolent cancers, but accurate estimation depends on correctly specifying key inputs that may be difficult to determine precisely in practice.

Indexed as

Early Detection of CancerBreast NeoplasmsFemaleHumansMammographyMedical OveruseRandomized Controlled Trials as TopicBreast cancerindolent cancermammography screeningmaximum likelihood estimationoverdiagnosisrandomized controlled trials

Identifiers

PMID29402176
PMCPMC6027608

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.