Evidence map›Paper›PMID 24691431›Full record

ArticlePloS one2014

Attention to local health burden and the global disparity of health research.

James A Evans, Jae-Mahn Shim, John P A Ioannidis

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
17.4field-weighted citation impact, top 1% of its field
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

39 citing papers in PubMed, 196 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. First Comprehensive Global Bibliometric Analysis of Monkeypox Virus Research Landscape From 1976 to 2025.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    Article
  6. Article
  7. Geographical diversity of peer reviewers shapes author success.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Socially responsible science: Exploring the complexities.European journal for philosophy of science · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. The economic challenges of new drug development.Journal of controlled release : official journal of the Controlled Release Society · 2022
    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

3 authors at 3 institutions in 2 countries.

James A EvansDepartment of Sociology, Computation Institute and Center for Health and the Social Sciences, University of Chicago, Chicago, Illinois, United States of America.
Jae-Mahn ShimDepartment of Sociology, University of Seoul, Seoul, Korea.
John P A IoannidisDepartments of Medicine, Health Research and Policy, and Statistics, Stanford Prevention Research Center, Stanford University, Stanford, California, United States of America.
Stanford University · USUniversity of Chicago · USUniversity of Seoul · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most studies on global health inequality consider unequal health care and socio-economic conditions but neglect inequality in the production of health knowledge relevant to addressing disease burden. We demonstrate this inequality and identify likely causes. Using disability-adjusted life years (DALYs) for 111 prominent medical conditions, assessed globally and nationally by the World Health Organization, we linked DALYs with MEDLINE articles for each condition to assess the influence of DALY-based global disease burden, compared to the global market for treatment, on the production of relevant MEDLINE articles, systematic reviews, clinical trials and research using animal models vs. humans. We then explored how DALYs, wealth, and the production of research within countries correlate with this global pattern. We show that global DALYs for each condition had a small, significant negative relationship with the production of each type of MEDLINE articles for that condition. Local processes of health research appear to be behind this. Clinical trials and animal studies but not systematic reviews produced within countries were strongly guided by local DALYs. More and less developed countries had very different disease profiles and rich countries publish much more than poor countries. Accordingly, conditions common to developed countries garnered more clinical research than those common to less developed countries. Many of the health needs in less developed countries do not attract attention among developed country researchers who produce the vast majority of global health knowledge--including clinical trials--in response to their own local needs. This raises concern about the amount of knowledge relevant to poor populations deficient in their own research infrastructure. We recommend measures to address this critical dimension of global health inequality.

Indexed as

AttentionCost of IllnessGlobal HealthHealth Services ResearchHealth Status DisparitiesBiomedical ResearchGeographyGross Domestic ProductHumansInternationalityPublicationsQuality-Adjusted Life Years

Identifiers

PMID24691431
PMCPMC3972174
OpenAlexW1991037518

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.