Evidence map›Paper›PMID 36798741›Full record

ArticleThe Review of economic studies2023

Behaviour within a Clinical Trial and Implications for Mammography Guidelines.

Amanda E Kowalski

Open access · greenAbstract read
In one paragraph

Article in The Review of economic studies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Instrumental variables methods reconcile intention-to-screen effects across pragmatic cancer screening trials.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Article
  4. How to Examine External Validity Within an Experiment.Journal of economics & management strategy · 2023
    Article
  5. Article
  6. Article
  7. Mammograms and Mortality: How Has the Evidence Evolved?The journal of economic perspectives : a journal of the American Economic Association · 2021
    Article
  8. Screening and Selection: The Case of Mammograms.The American economic review · 2020
    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

1 author at 1 institution in 1 country.

Amanda E KowalskiDepartment of Economics, University of Michigan.
University of Michigan–Ann Arbor · US

Funding

NBER Center for Aging and Health Research-Post COVID-19 Experiences Among Adults with ADRDP30AG012810 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI DAVID M CUTLER · 1999 to 2026
$24.6M
Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
NIA NIH HHS P30 AG012810NICHD NIH HHS P2C HD041028
6 · The paper itself

Abstract

Mammography guidelines have weakened in response to evidence that mammograms diagnose breast cancers that would never eventually cause symptoms, a phenomenon called "overdiagnosis." Given concerns about overdiagnosis, instead of recommending mammograms, US guidelines encourage women aged 40-49 to get them as they see fit. To assess whether these guidelines target women effectively, I propose an approach that examines mammography behavior within an influential clinical trial that followed participants long enough to find overdiagnosis. I find that women who are more likely to receive mammograms are healthier and have higher socioeconomic status. More importantly, I find that the 20-year level of overdiagnosis is at least 3.5 times higher among women who are most likely to receive mammograms. At least 36% of their cancers are overdiagnosed. These findings imply that US guidelines encourage mammograms among healthier women who are more likely to be overdiagnosed by them. Guidelines in other countries do not.

Identifiers

PMID36798741
PMCPMC9928190
OpenAlexW4285284344

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.