Evidence map›Paper›PMID 34305149›Full record

ArticleThe American economic review2020

Screening and Selection: The Case of Mammograms.

Liran Einav, Amy Finkelstein, Tamar Oostrom, Abigail Ostriker, Heidi Williams

Abstract read
In one paragraph

Article in The American economic review, 2020. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. What Can Economics Say about Alzheimer's Disease?Journal of economic literature · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Mammograms and Mortality: How Has the Evidence Evolved?The journal of economic perspectives : a journal of the American Economic Association · 2021
    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.

Liran EinavDepartment of Economics, Stanford University, and the National Bureau of Economic Research.
Amy FinkelsteinDepartment of Economics, Massachusetts Institute of Technology, and the National Bureau of Economic Research.
Tamar OostromDepartment of Economics, Ohio State University.
Abigail OstrikerDepartment of Economics, Massachusetts Institute of Technology.
Heidi WilliamsDepartment of Economics, Stanford University, and the National Bureau of Economic Research.

Funding

NBER Training Program in Aging and Health EconomicsT32AG000186 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI CUTLER, DAVID M, FINKELSTEIN, AMY N. · 1989 to 2024
$9.6M
NIA NIH HHS T32 AG000186
6 · The paper itself

Abstract

We analyze selection into screening in the context of recommendations that breast cancer screening start at age 40. Combining medical claims with a clinical oncology model, we document that compliers with the recommendation are less likely to have cancer than younger women who select into screening or women who never screen. We show this selection is quantitatively important: shifting the recommendation from age 40 to 45 results in three times as many deaths if compliers were randomly selected than under the estimated patterns of selection. The results highlight the importance of considering characteristics of compliers when making and designing recommendations.

Identifiers

PMID34305149
PMCPMC8300583

What OpenQuestion holds

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Registered trials

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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.