Evidence map›Paper›PMID 37546367›Full record

ArticleInfection and drug resistance2023

Drug Resistance Profile Among HIV-1 Infections Experiencing ART with Low-Level Viral Load in Guangdong China During 2011-2022: A Retrospective Study.

Yun Lan, Xuemei Ling, Xizi Deng, Yaqing Lin, Junbin Li, Liya Li, Ruiying He, Weiping Cai, Feng Li, Linghua Li and 1 more

Abstract read
In one paragraph

Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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.

Yun Lan *Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, People's Republic of China.
Xuemei Ling *Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, People's Republic of China.
Xizi Deng *Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, People's Republic of China.
Yaqing LinGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, People's Republic of China.
Junbin LiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, People's Republic of China.
Liya LiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, People's Republic of China.
Ruiying HeGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, People's Republic of China.
Weiping CaiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, People's Republic of China.
Feng Li *Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, People's Republic of China.
Linghua LiGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, People's Republic of China.
Fengyu HuGuangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, People's Republic of China.ORCID 0000-0002-8649-7913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antiretroviral therapy (ART) efficiently reduces the morbidities and mortalities caused by HIV-1 infection and prevents the HIV epidemic. However, virologic failure (VF) occurs in some patients receiving ART experience, especially increases in those patients with intermittent or persistent low-level viremia (LLV). The presence of drug resistance mutations (DRMs) in LLV was a strong predictor of subsequent VF. The data on drug resistance (DR) or DRMs for HIV-1 infections at low-level viral load (LLVL) are limited in China. Objective: To monitor the prevalence of HIV-1 drug resistance and to evaluate the risk factors associated with drug resistance in LLVL HIV-1 infections during ART in Guangdong, China. Methods: Plasma samples with LLVL during ART in Guangdong Province between Jan 2011 and Dec 2022 were subjected to a modified reverse-transcription PCR with a pre-step of virus concentration by ultracentrifugation before extraction and the Sanger sequencing. Then, the genotypic resistance test was performed and DR was analyzed by the Stanford HIVDB program. Finally, DR-associated factors were identified by logistic regression analysis. Results: We found that CRF01_AE (53.57%) and CRF07_BC (25.07%) were the dominant HIV-1 genotypes in LLVL in Guangdong between 2011 and 2022 but that the percentage of CRF01_AE showed a trend of decrease over time. M46 (1.49%), M184 (30.91%), and K103 (21.46%) were the dominant PI-, NRTI-, and NNRTI-associated mutations, respectively. The total DR rate was 47.06%. Specifically, PI (3.71%) showed a significantly lower DR rate than NNRTI (40.74%) and NRTI (34.14%). Duration of ART, initial ART regimen, ethnicity, and WHO clinical stages were associated with DR. Conclusion: The drug resistance rate among the LLVL during ART in Guangdong, China is high. The risk factors associated with HIV drug resistance should be seriously considered for better control.

Indexed as

drug resistancedrug resistance mutationHIVlow-level viral load

Identifiers

PMID37546367
PMCPMC10402888

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.