Evidence map›Paper›PMID 38205310›Full record

ArticleHeliyon2024

Global prevalence, burden and trend in HIV and drug-susceptible tuberculosis co-infection from 1990 to 2019 and prediction to 2040.

Longhao Wang, Hengliang Lv, Xueli Zhang, Xin Zhang, Junzhu Bai, Shumeng You, Xuan Li, Yong Wang, Jingli Du, Yue Su and 4 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Prevalence and predictors of HIV/TB co-infection in Sub-Saharan Africa.Journal of clinical tuberculosis and other mycobacterial diseases · 2026
    Article
  3. Review
  4. Key risk factors for pulmonary vs. extrapulmonary tuberculosis: a comparative study in Southwest Ethiopia.Journal of clinical tuberculosis and other mycobacterial diseases · 2026
    Article
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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

14 authors.

Longhao WangDepartment of Health Statistics, Faculty of Military Preventive Medicine, Army Medical University, Chongqing, China.
Hengliang LvChinese PLA Center for Disease Control and Prevention, Beijing, China.
Xueli ZhangChangchun University of Chinese Medicine, Changchun, China.
Xin ZhangChinese PLA Center for Disease Control and Prevention, Beijing, China.
Junzhu BaiChinese PLA Center for Disease Control and Prevention, Beijing, China.
Shumeng YouChinese PLA Center for Disease Control and Prevention, Beijing, China.
Xuan LiChinese PLA Center for Disease Control and Prevention, Beijing, China.
Yong WangChinese PLA Center for Disease Control and Prevention, Beijing, China.
Jingli DuTuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The 8th Medical Center of PLA General Hospital, Beijing, China.
Yue SuTuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The 8th Medical Center of PLA General Hospital, Beijing, China.
Weilin HuangCollege of Basic Medicine, Army Medical University, Chongqing, China.
Yingzhong DaiCollege of Basic Medicine, Army Medical University, Chongqing, China.
Wenyi ZhangChinese PLA Center for Disease Control and Prevention, Beijing, China.
Yuanyong XuChinese PLA Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The purpose of this study is to describe the current situation and forecast the trends of co-infection between the human immunodeficiency virus (HIV) and drug-susceptible tuberculosis (DS-TB) in different countries, across various age groups and genders. Methods: We obtained data on the number of cases, age-standardized incidence rate, age-standardized prevalence rate, age-standardized rate of disability-adjusted life years (DALYs), and age-standardized death rate from the Global Burden of Disease (GBD) 2019 database. These data were used to describe the distribution and burden of co-infection between the human immunodeficiency virus (HIV) and DS-TB in different regions, genders, and age groups. We employed joinpoint regression analysis to analyze the temporal trends from 1990 to 2019. Additionally, an age-period-cohort model was established to forecast the future trends of co-infection up to 2040. Results: The prevalence and burden of co-infection varied across different age groups and genders. The territories with the higher disease burden were distributed in some Asian and African countries. In terms of temporal trends, the age-standardized incidence rate and age-standardized prevalence rate of HIV and DS-TB co-infection exhibited an overall increasing trend from 1990 to 2019, and the prediction indicated a slow downward trend from 2019 to 2040. Conclusions: The co-infection of HIV and DS-TB posed a grave threat to public health and economic development. What's more, there existed a significant disparity between the actual state of co-infection and the desired goals for prevention and control.

Indexed as

Acquired immunodeficiency syndromeBurdenDrug-susceptible tuberculosisHIVJoinpoint regressionPredictionPrevalence

Identifiers

PMID38205310
PMCPMC10776929

What OpenQuestion holds

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LicenceCC BY
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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.