Evidence map›Paper›PMID 40630400›Full record

ArticleFrontiers in public health2025

Temporal trends in the incidence of adverse effects of medical treatment in BRICS countries from 1990 to 2021: an age-period cohort analysis.

Xingmin Wei, Lu Jiang, Zhidong Zhang, Longjian Shang, Kun Liu, Xiaoang Qin, Gaoheng Ding, Lu Liu, Jianjun Wu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Xingmin Wei *School of Public Health, Gansu University of Chinese Medicine, Lanzhou, China.
Lu Jiang *School of Public Health, Gansu University of Chinese Medicine, Lanzhou, China.
Zhidong ZhangSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, China.
Longjian ShangSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, China.
Kun LiuDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Xiaoang QinDepartment of Epidemiology, School of Public Health, Air Force Medical University, Xi'an, China.
Gaoheng DingSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, China.
Lu LiuSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, China.
Jianjun WuSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Significant disability-adjusted life year (DALY) losses are caused annually by adverse effects of medical treatment (AEMT), a serious public health concern worldwide that continuously strains nations' socioeconomic progress. As they account for more than half of the world's population and exhibit notable variation in healthcare resource distribution, the BRICS nations-Brazil, Russia, India, China, and South Africa-have emerged as a crucial observational cohort for researching healthcare safety issues. This study evaluated trends in the incidence of AEMT across BRICS nations from 1990 to 2021. Methods: This study evaluated trends in the incidence of AEMT in the BRICS nations between 1990 and 2021, utilizing data from the Global Burden of Disease (GBD) 2021 database. We employed Joinpoint regression to determine the average annual percentage change (AAPC) in incidence. Additionally, net drift, localized drift, age-specific curves, and period/cohort relative risk were estimated through an age-period-cohort (APC) model implementing the intrinsic estimator (IE) algorithm. Results: Between 1990 and 2021, the incidence of AEMT decreased in both South Africa and China. Notably, China exhibited a more pronounced decline, with an AAPC of -1.30% (from 36.94 per 100,000 to 24.65 per 100,000), compared to South Africa's AAPC of -0.98% (from 117.82 per 100,000 to 86.57 per 100,000). In contrast, Brazil and Russia showed upward trends. Brazil experienced the most substantial increase, rising from 23.06 per 100,000 to 75.09 per 100,000 (AAPC +3.88%), while Russia's incidence grew less markedly, from 153.97 to 188.67 cases per 100,000 (AAPC +0.65%). Notably, China exhibited a consistently lower incidence of AEMT compared to other BRICS nations. The burden of AEMT disproportionately affected the older adult population in Brazil, South Africa, India, and Russia, whereas in China, the highest incidence was observed among newborns and young children. Regarding cohort risk, all nations demonstrated a reduction over time, except for Brazil and Russia, where cohort relative risk increased significantly. Conclusion: Over the past three decades, divergent trends in AEMT incidence have been observed across the BRICS nations. To strengthen AEMT prevention, these countries should prioritize optimizing existing healthcare resources, such as workforce training and surveillance systems. Additionally, targeted interventions-including enhanced care for vulnerable populations (e.g., young children, preschoolers, and the older adult)-are critical to further reducing AEMT incidence.

Indexed as

Drug-Related Side Effects and Adverse ReactionsAdolescentAdultAgedBrazilChinaCohort StudiesDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansIncidenceIndiaInfantMaleMiddle AgedAEMTage-period-cohortBRICSincidencetrend

Identifiers

PMID40630400
PMCPMC12234458

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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.