Evidence map›Paper›PMID 37796852›Full record

ArticlePloS one2023

Ranking versus rating in peer review of research grant applications.

Robyn Tamblyn, Nadyne Girard, James Hanley, Bettina Habib, Adrian Mota, Karim M Khan, Clare L Ardern

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Robyn TamblynClinical and Health Informatics Research Group, McGill University, Montreal, Canada.ORCID 0000-0003-0134-6954
Nadyne GirardClinical and Health Informatics Research Group, McGill University, Montreal, Canada.
James HanleyDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.
Bettina HabibClinical and Health Informatics Research Group, McGill University, Montreal, Canada.
Adrian MotaCanadian Institutes of Health Research (CIHR), Ottawa, Canada.
Karim M KhanCanadian Institutes of Health Research (CIHR), Ottawa, Canada.
Clare L ArdernDepartment of Physical Therapy, University of British Columbia, Vancouver, Canada.ORCID 0000-0001-8102-3631

Funding

CIHR
6 · The paper itself

Abstract

The allocation of public funds for research has been predominantly based on peer review where reviewers are asked to rate an application on some form of ordinal scale from poor to excellent. Poor reliability and bias of peer review rating has led funding agencies to experiment with different approaches to assess applications. In this study, we compared the reliability and potential sources of bias associated with application rating with those of application ranking in 3,156 applications to the Canadian Institutes of Health Research. Ranking was more reliable than rating and less susceptible to the characteristics of the review panel, such as level of expertise and experience, for both reliability and potential sources of bias. However, both rating and ranking penalized early career investigators and favoured older applicants. Sex bias was only evident for rating and only when the applicant's H-index was at the lower end of the H-index distribution. We conclude that when compared to rating, ranking provides a more reliable assessment of the quality of research applications, is not as influenced by reviewer expertise or experience, and is associated with fewer sources of bias. Research funding agencies should consider adopting ranking methods to improve the quality of funding decisions in health research.

Indexed as

Academies and InstitutesPeer Review, ResearchBiasCanadaReproducibility of Results

Identifiers

PMID37796852
PMCPMC10553257

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.