Evidence map›Paper›PMID 40357420›Full record

ArticleInfection and drug resistance2025

Impact of HIV Pretreatment Drug Resistance on Secondary Transmission Through Treatment Dropout: A Prospective Population-Based Study in Southwestern China.

Yi Chen, Xiaoshan Xu, Huanhuan Chen, Xiangjun Zhang, Qiuying Zhu, Shujia Liang, Hui Xing, Lingjie Liao, Yi Feng, Yiming Shao and 3 more

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Yi Chen *The Guangxi Academy of Medical Sciences, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, People's Republic of China.ORCID 0000-0002-8858-5298
Xiaoshan Xu *State Key Laboratory of Infectious Disease Prevention and Control (SKLID), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, People's Republic of China.
Huanhuan Chen *Guangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China.
Xiangjun ZhangCenter for Community Research and Evaluation, University of Memphis, Memphis, TN, USA.
Qiuying ZhuGuangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China.
Shujia LiangGuangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China.
Hui XingState Key Laboratory of Infectious Disease Prevention and Control (SKLID), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, People's Republic of China.
Lingjie LiaoState Key Laboratory of Infectious Disease Prevention and Control (SKLID), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, People's Republic of China.
Yi FengState Key Laboratory of Infectious Disease Prevention and Control (SKLID), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, People's Republic of China.
Yiming ShaoState Key Laboratory of Infectious Disease Prevention and Control (SKLID), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, People's Republic of China.
Yuhua RuanState Key Laboratory of Infectious Disease Prevention and Control (SKLID), Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Center for AIDS/STD Control and Prevention (NCAIDS), Chinese Center for Disease Control and Prevention (China CDC), Beijing, People's Republic of China.
Guanghua LanGuangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China.
Jianjun LiGuangxi Key Laboratory of Major Infectious Disease Prevention Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Discontinuation of antiretroviral treatment (ART) raised drug resistance and failure of Human Immunodeficiency Virus (HIV) virological suppression. The study aimed to assess the relationship between pretreatment drug resistance (PDR) and ART dropout, as well as the relationship between HIV treatment dropout and HIV secondary transmission. Methods: This study included all eligible participants from a local surveillance database in southwestern China between 2014 and 2021. The PDR prevalence trend was assessed using trend Chi-square tests within a consecutive cross-sectional design (N = 3060). Cox proportional hazards model was used to investigate the relationship between PDR and the risk of treatment dropout within a cohort design. Generalized Estimating Equations model was applied to explore the association between treatment dropout and HIV secondary transmission within a longitudinal genetic network study design. (N = 5094). Results: The overall PDR prevalence was 6.2%, analyzing a study sample of 3060 individuals with HIV/AIDS. Specifically, the prevalence of PDR to non-nucleoside reverse transcriptase inhibitors (NNRTIs), nucleoside reverse transcriptase inhibitors (NRTIs), and protease inhibitors (PIs) was 3.6%, 1.4%, and 1.1%, respectively. Yearly difference in prevalence was not identified. The independent association between PDR to NNRTIs and treatment dropout was significant (adjusted hazard ratio: 2.55, 95% CI 1.52-4.29). Among 5094 newly diagnosed HIV cases, participants who dropped out did not show a significant difference in HIV secondary transmission compared to those not on ART (adjusted odds ratio: 1.15, 95% CI 0.74-1.79). Conclusion: PDR to NNRTIs may contribute to HIV secondary transmission through treatment dropout. It is imperative to offer comprehensive and advanced HIV care for all individuals with HIV, enhance treatment and medication adherence, and closely monitor PDR prevalence.

Indexed as

HIVHIV secondary transmissionpre-treatment drug resistancetreatment dropout

Identifiers

PMID40357420
PMCPMC12066365

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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.