Evidence map›Paper›PMID 42381098›Full record

ReviewInfectious diseases of poverty2026

Evaluation of scientific outcomes of TDR-supported clinical research and development fellows in low- and middle-income countries: a bibliometric analysis.

Mahnaz Vahedi, Prabin Dahal, Elham Jaberi, Dawit Getachew Assefa, Wastiq Maula, Nuria Casamitjana, Pascal Launois

Abstract readReview
In one paragraph

Review in Infectious diseases of poverty, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mahnaz VahediWorld Health Organization, The Special Programme for Research and Training in Tropical Diseases (WHO/TDR), Geneva, Switzerland. vahedim@who.int.
Prabin DahalInfectious Diseases Data Observatory (IDDO), Oxford, UK.
Elham JaberiWorld Health Organization, The Special Programme for Research and Training in Tropical Diseases (WHO/TDR), Geneva, Switzerland.
Dawit Getachew AssefaInfectious Diseases Data Observatory (IDDO), Oxford, UK.
Wastiq MaulaUniversitat Gadjah Mada, Yogyakarta, Indonesia.
Nuria CasamitjanaIS Global, University of Barcelona, Barcelona, Spain.
Pascal LaunoisWorld Health Organization, The Special Programme for Research and Training in Tropical Diseases (WHO/TDR), Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Special Programme for Research and Training in Tropical Diseases (TDR), co-sponsored by World Health Organization, United Nations Children's Fund, United Nations Development Programme, and the World Bank, launched the Clinical Research and Development Fellowship (CRDF) in 1999 to strengthen clinical research capacity in low- and middle-income countries (LMICs). Despite sustained investment, evidence on the longer-term scientific outcomes of such programmes remains limited. This study evaluated the scientific outcomes of the CRDF programme (1999-2021) using bibliometric analysis of fellows' peer-reviewed publications before and after their fellowship.

methodsA retrospective bibliometric analysis was conducted on peer-reviewed publications authored by CRDF fellows from 1999 through 2021. Publication data were retrieved from Open Researcher and Contributor ID profiles and verified using PubMed, Google search, and Google scholar. A retrospective bibliometric analysis was conducted using descriptive and comparative statistical methods to evaluate publication productivity, authorship position, journal quality metrics, collaboration patterns, disease focus, and research themes before and after fellowship participation. Analyses were conducted using R statistical software. Scientific outcome of the fellowship was judged based on the evolution of collaboration network, journal metrics, and seniority in authorship.

resultsAmong 128 fellows, 76 had verifiable publications, contributing a total of 1821 peer-reviewed articles. Publications were predominantly produced after fellowship participation (1309; 71.9%), compared with 512 pre-fellowship publications. Median publications per fellow increased from 5 [interquartile range (IQR): 2-10] before the fellowship to 14 (IQR: 8-28). The proportion of first-author publications declined (30.7-19.2%), while last-author publications increased (8.0-11.0%), suggesting progression toward senior research roles. Journal quality improved, with publications in Q1 journals increasing from 66.6 to 71.3%, and the median impact factor rising from 2.8 (IQR: 1.9-3.9) to 3.4 (IQR: 2.6-4.9). North-South collaborations increased substantially after the fellowship, while South-South collaborations grew modestly.

conclusionsParticipation in the CRDF programme was associated with a visible increase in research productivity, publication quality, and international collaboration among fellows. Research output aligned closely with infectious diseases of poverty and evolving global health priorities. While the collaboration network expanded, leadership as gauged by the evolution of authorship position remained constrained, highlighting the need for continued investment in research leadership development. Bibliometric analysis offers a useful approach for examining longer-term scientific outcomes of capacity-strengthening initiatives, while recognizing its limitations in capturing broader policy and societal impacts.

Indexed as

BibliometricsBiomedical ResearchDeveloping CountriesFellowships and ScholarshipsTropical MedicineHumansPublicationsRetrospective StudiesBibliometric analysisClinical research fellowshipLow- and middle-income countriesResearch capacity strengthening

Identifiers

PMID42381098
PMCPMC13321981

What OpenQuestion holds

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LicenceCC BY
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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.