Evidence map›Paper›PMID 27894707›Full record

ReviewAcademic radiology2017

Missteps in Current Estimates of Cancer Overdiagnosis.

Christoph I Lee, Ruth Etzioni

Abstract readReview
In one paragraph

Review in Academic radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Optimal Screening in Breast Cancer Survivors With Dense Breasts on Mammography.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
    Article
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Christoph I LeeDepartment of Radiology, University of Washington School of Medicine, 825 Eastlake Avenue East, G3-200, Seattle, WA 98109-1023; Department of Health Services, University of Washington School of Public Health, Seattle, Washington. Electronic address: stophlee@uw.edu.
Ruth EtzioniDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.

Funding

Estimating Overdiagnosis in Cancer Screening StudiesR01CA192402 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ETZIONI, RUTH D · 2015 to 2018
$2.3M
NCI NIH HHS R01 CA192402
6 · The paper itself

Abstract

The balance between the benefits and harms of imaging-based cancer screening continues to be an area of controversy and widespread media attention. Of the potential harms, overdiagnosis from screening is likely the most elusive in estimating and quantifying. This article describes the major methodological issues with recently reported estimates of overdiagnosis that are based on excess cancer incidence, and suggests that modeling focused on tumor lead-time can serve as a complementary method for excess incidence-based overdiagnosis estimates. Radiologists should be conversant on the topic of overdiagnosis and understand the limitations of different methods used to estimate its magnitude.

Indexed as

Medical OveruseAdultAgedBreast NeoplasmsEarly Detection of CancerFemaleHumansIncidenceMammographyMass ScreeningMiddle AgedObservational Studies as TopicRandomized Controlled Trials as Topiccancer screeningmammographyOverdiagnosisovertreatment

Identifiers

PMID27894707
PMCPMC5237398

What OpenQuestion holds

Textmetadata
LicenceTDM
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.