Evidence map›Paper›PMID 34908855›Full record

ArticleInfection and drug resistance2021

Risk Factors of Drug Resistance and the Potential Risk of HIV-1 Transmission of Patients with ART Virological Failure: A Population-Based Study in Sichuan, China.

Chang Zhou, Rui Kang, Shu Liang, Teng Fei, Yiping Li, Ling Su, Ling Li, Li Ye, Yan Zhang, Dan Yuan

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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

7 citing papers in PubMed, 7 citations in OpenAlex.

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  6. [Analysis of HIV-1 Subtypes and Transmitted Drug Resistance in Hospitalized Treatment-Native Patients With AIDS].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    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

10 authors at 2 institutions in 1 country.

Chang Zhou *Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Rui Kang *School of Resource and Environmental Sciences, Wuhan University, Wuhan, People's Republic of China.ORCID 0000-0001-9379-2630
Shu LiangCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Teng FeiSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, People's Republic of China.
Yiping LiCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Ling SuCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Ling LiCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Li YeCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Yan ZhangCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Dan YuanCenter for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People's Republic of China.
Sichuan Center for Disease Control and Prevention · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSichuan Province, in the interior of Southwest China, is the most severe HIV-affected area in China. Few data are currently available for people living with HIV/AIDS (PLWH) with virological failure of antiretroviral therapy (ART). Estimating the HIV-1 drug-resistant spread influencing factors and transmission patterns of the HIV-1 epidemic of PLWH with ART virological failure are critical in Sichuan.

methodsWe evaluated the drug-resistant transmission patterns on 5790 PLWH in 2018 with identified pol sequences of the five main HIV-1 subtypes (ie, subtype B, CRF08_BC, CRF85_BC, CRF07_BC, and CRF01_AE) in Sichuan Province, China. The multivariate logistic regression model was used to explore potential influencing factors of the spread of drug resistance (DR) clustering in the genetic transmission network. Spatial analyses were applied to demonstrate drug-resistant spatial clustering patterns of spatial connections of HIV-1 intercity transmission. Genetic transmission networks were performed by comparing sequences, calculating the pairwise distance, and visualizing the network.

resultsThere were identified 452 transmission clusters containing 2159 of 5790 patients (37.29%) in the HIV-1 genetic transmission networks. Some clinical and demographic factors (eg, route of transmission, subtype) determined the DR clustering in the genetic transmission networks. The high drug-resistant clustering rates were mainly distributed in the Southern and Northeast of Sichuan Province (eg, Deyang, Neijiang), especially for CRF85_BC, which showed the highest clustering rate. Some cities had with strong intracity links (eg, Yibin, Neijiang), some cities had with strong transmission links with another city (eg, Ziyang and Guangyuan), 12 of 37 drug resistance mutation sites had a significant difference in the five subtypes (P < 0.001).

conclusionOur findings revealed the HIV-1 drug-resistant spread influencing factors and transmission patterns of PLWH with ART virological failure, which showed regions with high drug-resistant transmission of PLWH may not be a match for regions with severe epidemics in Sichuan, and it provided evidence-based to drug-resistant transmission targeting interventions.

Indexed as

antiretroviral resistanceHIV-1spatial analysestransmitted drug resistance

Identifiers

PMID34908855
PMCPMC8666109
OpenAlexW4200537101

What OpenQuestion holds

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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.