Evidence map›Paper›PMID 38273270›Full record

ArticleBMC public health2024

Global trends and partial forecast of adverse effects of medical treatment from 1990 to 2019: an epidemiological analysis based on the global burden of disease study 2019.

Xin Kong, Xufeng Tao, Lu Li, Xinya Zhao, Jiaqi Ren, Shilei Yang, Xuyang Chen, Hong Xiang, Guoyu Wu, Yunming Li and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

11 authors.

Xin Kong *Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Xufeng Tao *Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Lu LiDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Xinya ZhaoDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Jiaqi RenDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Shilei YangDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Xuyang ChenDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Hong XiangLaboratory of Integrative Medicine, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China.
Guoyu WuDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China. wuguoyu031219@sina.com.
Yunming LiDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China. liyunming1979@sina.com.
Deshi DongDepartment of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China. dongdeshi@dmu.edu.cn.

Funding

Liaoning Provincial Department of Science and Technology Applied Basic Research Program Project No. 2023JH2/ 101300101Research Project established by Chinese Pharmaceutical Association Hospital Phamacy department. NO. CPA-Z05-ZC-2022-002.Science and Technology Talent Innovation Foundation of Dalian No. 2022RY16
6 · The paper itself

Abstract

backgroundThe possibility of adverse effects of medical treatment (AEMT) is increasing worldwide, but little is known about AEMT in China. This study analyzed the health burden of AEMT in China in recent years through the Global Burden of Disease Study (GBD) 2019 and compared it with the worldwide average level and those in different sociodemographic index (SDI) regions.

methodsWe calculated the age-standardized rate (ASR) of deaths, disability-adjusted life years (DALYs), years of life lost (YLLs), years lived with disability (YLDs), incidence and prevalence attributed to AEMT in China, worldwide and countries with different sociodemographic indices during 1990-2019 using the latest data and methods from the GBD 2019.

resultsFrom 1990 to 2019, the global age-standardized death rate (ASDR), DALYs, and YLLs for AEMT showed a significant downward trend and were negatively associated with the SDI. By 2040, the ASDR is expected to reach approximately 1.58 (95% UI: 1.33-1.80). From 1990 to 2019, there was no significant change in the global incidence of AEMT. The occurrence of AEMT was related to sex, and the incidence of AEMT was greater among females. In addition, the incidence of AEMT-related injuries and burdens, such as ASR of DALYs, ASR of YLLs and ASR of YLDs, was greater among women than among men. Very old and very young people were more likely to be exposed to AEMT.

conclusionsFrom 1990 to 2019, progress was made worldwide in reducing the harm caused by AEMT. However, the incidence and prevalence of AEMT did not change significantly overall during this period. Therefore, the health sector should pay more attention to AEMT and take effective measures to reduce AEMT.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPerinatal DeathPersons with DisabilitiesAdolescentFemaleGlobal Burden of DiseaseGlobal HealthHumansIncidenceMalePrevalenceQuality-Adjusted Life YearsAdverse effects of medical treatmentGlobal burden of DiseaseHealth care systemMedical errorsPatient safety

Identifiers

PMID38273270
PMCPMC10809510

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.