Evidence map›Paper›PMID 32537494›Full record

ArticleScience advances2020

NIH peer review: Criterion scores completely account for racial disparities in overall impact scores.

Elena A Erosheva, Sheridan Grant, Mei-Ching Chen, Mark D Lindner, Richard K Nakamura, Carole J Lee

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

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

  1. Pooled it
  2. Effect of a Workshop to Break the Bias Habit for Internal Medicine Faculty: A Multisite Cluster Randomized Controlled Study.Academic medicine : journal of the Association of American Medical Colleges · 2023
    Trial
  3. Article
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  5. Alternative models of funding curiosity-driven research.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. To dismantle structural racism in science, scientists need to learn how it works.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Review
  16. A manifesto for applying behavioural science.Nature human behaviour · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. 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.

Elena A EroshevaDepartment of Statistics, Padelford Hall B-313, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0003-2162-0017
Sheridan GrantDepartment of Statistics, Padelford Hall B-313, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-8952-2910
Mei-Ching ChenCenter for Scientific Review, National Institutes of Health, 6701 Rockledge Drive, Bethesda, MD 20817, USA.ORCID 0000-0002-7220-9773
Mark D LindnerCenter for Scientific Review, National Institutes of Health, 6701 Rockledge Drive, Bethesda, MD 20817, USA.ORCID 0000-0002-8646-2980
Richard K NakamuraCenter for Scientific Review, National Institutes of Health, 6701 Rockledge Drive, Bethesda, MD 20817, USA.ORCID 0000-0002-7846-6017
Carole J LeeDepartment of Philosophy, Savery Hall 361, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-5323-9205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous research has found that funding disparities are driven by applications' final impact scores and that only a portion of the black/white funding gap can be explained by bibliometrics and topic choice. Using National Institutes of Health R01 applications for council years 2014-2016, we examine assigned reviewers' preliminary overall impact and criterion scores to evaluate whether racial disparities in impact scores can be explained by application and applicant characteristics. We hypothesize that differences in commensuration-the process of combining criterion scores into overall impact scores-disadvantage black applicants. Using multilevel models and matching on key variables including career stage, gender, and area of science, we find little evidence for racial disparities emerging in the process of combining preliminary criterion scores into preliminary overall impact scores. Instead, preliminary criterion scores fully account for racial disparities-yet do not explain all of the variability-in preliminary overall impact scores.

Identifiers

PMID32537494
PMCPMC7269672

What OpenQuestion holds

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LicenceCC BY
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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.