Evidence map›Paper›PMID 24534332›Full record

ArticleJournal of epidemiology and global health2014

Cardiovascular disease research output in WHO priority areas between 2002 and 2011.

Laura Myers, Shanthi Mendis

Abstract read
In one paragraph

Article in Journal of epidemiology and global health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Role of Outer Membrane Vesicles FromFrontiers in cell and developmental biology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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

2 authors.

Laura MyersWorld Health Organization, Avenue Appia 20, 1211 Geneva 27, Switzerland. Electronic address: lcmyers@partners.org.
Shanthi MendisWorld Health Organization, Avenue Appia 20, 1211 Geneva 27, Switzerland. Electronic address: mendiss@who.int.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Approximately 17.3 million people died from cardiovascular disease (CVD) in 2008, and approximately 80% came from low- and middle-income countries. However, previous studies document poor research productivity related to CVD prevention and treatment in these countries between 1991 and 1996. The World Health Organization (WHO) developed a prioritized research agenda emphasizing research on policy development, translation of knowledge and implementation. This study assessed whether research output in priority areas increased between 2002 and 2011. It was reported that only 3-4% of papers from each year related to a priority area, and most were conducted by corresponding authors from high-income countries. Low-income countries were highly underrepresented both in terms of productivity and as the study population. However, there was a significant rise in the productivity of middle-income countries and their representation as the study population. While 30% of priority-related papers addressed a cost-effective strategy, this represents 1% of papers overall. More cost-effectiveness research is encouraged to decrease the millions of deaths per year attributed to CVD in the developing world.

Indexed as

Biomedical ResearchWorld Health OrganizationCardiovascular DiseasesCost-Benefit AnalysisDeveloped CountriesDeveloping CountriesHealth PolicyHealth PrioritiesHumansOrganizational ObjectivesPreventive Health ServicesCardiovascular diseaseLow- and middle-income countriesResearch productivity

Identifiers

PMID24534332
PMCPMC7320405

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.