Evidence map›Paper›PMID 37068582›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2023

Disparities in COVID-19 clinical studies from high-income and low-and middle-income countries.

Sha Yin, Jingwen Ren, Jie Xue, Pengfei Li, Jie Luo, Jiao Yin, Lei Luo, Zhenyu Li, Guangheng Luo

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Observational
  3. The Current Landscape of Clinical Trials.Journal of clinical medicine · 2025
    Article
  4. Article
  5. 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

9 authors.

Sha YinGood Clinical Practice Center, Guizhou Provincial People's Hospital, Guiyang, China.
Jingwen RenDepartment of Urology, Guizhou Province People's Hospital, Guiyang, China.
Jie XueGood Clinical Practice Center, Guizhou Provincial People's Hospital, Guiyang, China.
Pengfei LiGood Clinical Practice Center, Guizhou Provincial People's Hospital, Guiyang, China.
Jie LuoGood Clinical Practice Center, Guizhou Provincial People's Hospital, Guiyang, China.
Jiao YinGood Clinical Practice Center, Guizhou Provincial People's Hospital, Guiyang, China.
Lei LuoGood Clinical Practice Center, Guizhou Provincial People's Hospital, Guiyang, China. Electronic address: 292443736@qq.com.
Zhenyu LiDepartment of Emergency surgery, Guizhou Provincial People's Hospital, Guiyang, China. Electronic address: 439444753@qq.com.
Guangheng LuoDepartment of Urology, Guizhou Province People's Hospital, Guiyang, China. Electronic address: 1654377211@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo examine the disparities between COVID-19 studies conducted in high-income countries (HICs) and low-and middle-income countries (LMICs).

methodsWe used the International Clinical Trials Registry Platform to identify COVID-19-related studies registered from December 31, 2019 to December 31, 2021. The World Bank definition was used to classify countries as high-, upper-middle-, lower-middle-, and low-income. The last three were considered to be LMICs. We examined the disparities in response speed, classification of medicines and vaccines, and registration and results reporting compliance between COVID-19 studies conducted in HICs and LMICs.

resultsWe included 12,396 COVID-19 studies, with 6631 (53.5%) from HICs. HIC-registered studies reached a peak of 1039 in April 2020, whereas LMICs had only 440 studies. Of the 6969 interventional trials, those from HICs showed higher registration compliance (2199, 62.3% vs 1979, 57.6%, P <0.001) and results reporting compliance (hazard ratio 0.39, 95% confidence interval 0.28-0.55, P < 0.001) than LMICs. HICs also conducted significantly more small-molecule drug (956, 57.5% vs 868, 41.2%, P <0.001) and messenger RNA vaccine trials (135, 32.9% vs 19, 4.8%, P <0.001) than LMICs.

conclusionHICs conducted COVID-19 trials with faster response speed and higher registration and publication compliance and produced more innovative pharmaceutical and vaccine products to combat COVID-19 than LMICs.

Indexed as

COVID-19Developing CountriesHumansIncomePovertyClinical trialsCOVID-19Income economiesRegistry platform

Identifiers

PMID37068582
PMCPMC10105623

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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.