Evidence map›Paper›PMID 41160591›Full record

ArticlePLOS global public health2025

Disinvesting in the future leadership of global health has already begun: What can we do about it?

Shashika Bandara, Jane K Fieldhouse, Inosha Alwis, Lucía Abascal Miguel, Canice Christian, Nelson Evaborhene

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Shashika BandaraDepartment of Global and Public Health, School of Population and Global Health, McGill University, Montreal, Québec, Canada.ORCID https://orcid.org/0000-0002-1698-138X
Jane K FieldhouseGrand Challenges, University of California Davis, Davis, California, United States of America.
Inosha AlwisAustralian Centre for Health Services Innovation (AusHSI) and Centre for Healthcare Transformation, School of Public Health & Social Work, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0001-6547-7449
Lucía Abascal MiguelInstitute for Global Health Sciences, University of California, San Francisco, San Francisco, California, United States of America.
Canice ChristianDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America.ORCID https://orcid.org/0000-0002-2502-8718
Nelson EvaborheneFaculty of Health Science, University of the Witwatersrand, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following the abrupt and significant funding cuts by the U.S. and increasing retreat by high-income countries from development aid for health, global health as a field requires reimagining and urgent solution building by all parties involved. In this essay, we aim to draw attention to an important and urgent challenge that deeply affects our collective future: the destruction of global health training opportunities and the weakening of future global health leadership. If we do not approach this challenge with a sense of urgency, global health research and training face irreversible shifts, weakening global preparedness to face future pandemics, address climate crisis, and achieve global goals such as universal health coverage or health for all. We outline existing best practices that we can build on and pathways to build better approaches in global health training.

Identifiers

PMID41160591
PMCPMC12571303

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.