Evidence map›Paper›PMID 40144988›Full record

ArticleFrontiers in public health2025

Prevalence and transmission of HIV-1 drug resistance mutations among patients with treatment failure and newly diagnosed people in Liangshan Prefecture, China, in 2021-2023.

Rong Pei, Yulian Zhang, Chunnong Jike, Gang Yu, Ling Su, Ju Wang, Lin Xiao, Yubing Wang, Maogang Shen, Jiayi Liao and 2 more

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Analysis of HIV Drug Resistance Mutations Along With Treatment Outcomes of Efavirenz-Based Regimens in Patients With V179D/E Mutations in Guangzhou, China.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
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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

12 authors.

Rong PeiNuffield Department of Population Health, Infectious Disease Epidemiology Unit, University of Oxford, Oxford, United Kingdom.
Yulian ZhangSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Chunnong JikeLiangshan Prefecture Centre for Disease Control and Prevention, Xichang, Sichuan, China.
Gang YuLiangshan Prefecture Centre for Disease Control and Prevention, Xichang, Sichuan, China.
Ling SuSichuan Provincial Center for Disease Control and Prevention, Center for AIDS/STD Control and Prevention, Chengdu, Sichuan, China.
Ju WangLiangshan Prefecture Centre for Disease Control and Prevention, Xichang, Sichuan, China.
Lin XiaoLiangshan Prefecture Centre for Disease Control and Prevention, Xichang, Sichuan, China.
Yubing WangLiangshan Prefecture Centre for Disease Control and Prevention, Xichang, Sichuan, China.
Maogang ShenLiangshan Prefecture Centre for Disease Control and Prevention, Xichang, Sichuan, China.
Jiayi LiaoSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Yifei ZhengSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Joris HemelaarNuffield Department of Population Health, Infectious Disease Epidemiology Unit, University of Oxford, Oxford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite expanded antiretroviral therapy (ART) in China, HIV transmission persists. Liangshan Prefecture is one of the areas in China most severely affected by HIV, with high levels of drug resistance. A deeper understanding of HIV-1 drug resistance can lead to improvements in current treatment policies. Methods: We conducted an analysis of HIV drug resistance mutations (DRMs) among patients with treatment failure and people newly diagnosed with HIV in Liangshan Prefecture. 8,523 blood samples were collected from people living with HIV with treatment failure and newly diagnosed individuals in all 15 counties and two cities in Liangshan Prefecture between 2021 and 2023. Results: 43.0% of patients with treatment failure acquired HIV through the heterosexual route, followed by injecting drug use (38.7%), while newly diagnosed individuals mainly acquired HIV through the heterosexual route (86.7%). 95.6% of patients with treatment failure were infected with HIV-1 variant CRF07_BC and 2.7% with CRF08_BC, and newly diagnosed individuals were also main infected with HIV-1 variant CRF07_BC (90.9), followed by CRF08_BC (4.0%) and CRF01_AE (2.5%). The overall prevalence of acquired drug resistance (ADR) among patients with treatment failure was 57.4%. The overall prevalence of pre-treatment drug resistance (PDR) among newly diagnosed individuals was 23.9%. A high prevalence of ADR and PDR (especially high-level resistance) to efavirenz (48.0% vs. 11.1%) and nevirapine (49.6% vs. 11.4%) was found. The main non-nucleoside reverse transcriptase inhibitor (NNRTI)-associated ADR and PDR mutations were K103, V106, and V179. Our findings highlight age <18 years, injecting drug use, and initiation on NNRTI-based regimen as independent risk factors for HIV ADR development. We found minor variants as a risk factor for PDR, and CRF01_AE was associated with a higher risk than CRF07_BC for nucleoside reverse transcriptase inhibitor (NRTI) PDR. Discussion: Given the high levels of NNRTI ADR and PDR, future clinical treatment plans should minimize the use of NNRTI-based regimens and should instead adopt alternative ART regimens more frequently.

Indexed as

Anti-HIV AgentsDrug Resistance, ViralHIV-1HIV InfectionsAdolescentAdultChinaFemaleHumansMaleMiddle AgedMutationPrevalenceTreatment FailureAnti-HIV Agentsantiretroviral therapydrug resistanceHIV-1mutationsubtypetreatment failure

Identifiers

PMID40144988
PMCPMC11937080

What Socratic 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 Socratic graph.