Evidence map›Paper›PMID 30961560›Full record

ArticleBMC infectious diseases2019

Diversity of HIV-1 genotypes and high prevalence of pretreatment drug resistance in newly diagnosed HIV-infected patients in Shanghai, China.

Zhenyan Wang, Min Zhang, Renfang Zhang, Li Liu, Yinzhong Shen, Jiangrong Wang, Hongzhou Lu

Abstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. [Genetic Subtypes and Status of Transmitted Drug Resistance of HIV/AIDS Patients in Sichuan].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022
    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

7 authors.

Zhenyan WangFudan University (Shanghai Public Health Clinical Center), Shanghai, China.
Min ZhangClinical laboratory, Shanghai Public Health Clinical Center, Shanghai, China.
Renfang ZhangDepartment of infections and immunity, Shanghai Public Health Clinical Center, 2901 Caolang Road, Jinshan District, Shanghai, 201508, China.
Li LiuDepartment of infections and immunity, Shanghai Public Health Clinical Center, 2901 Caolang Road, Jinshan District, Shanghai, 201508, China.
Yinzhong ShenDepartment of infections and immunity, Shanghai Public Health Clinical Center, 2901 Caolang Road, Jinshan District, Shanghai, 201508, China.
Jiangrong WangDepartment of infections and immunity, Shanghai Public Health Clinical Center, 2901 Caolang Road, Jinshan District, Shanghai, 201508, China.
Hongzhou LuFudan University (Shanghai Public Health Clinical Center), Shanghai, China. luhongzhou@fudan.edu.cn.

Funding

China Association for Science and Technology 2017ZX10202101Foundation of Shanghai Municipal Commission of Health and Family Planning 20144Y0074
6 · The paper itself

Abstract

backgroundGenetic variability and liability to develop drug-resistant mutations are the main characteristics of HIV-1, which can not only increase the risk of antiretroviral treatment (ART) failure, but also can lead to the spread of resistant strains. We aim to investigate the distribution of HIV-1 genotypes and prevalence of pretreatment drug resistance (PDR) in ART-naïve HIV-1 infected patients in Shanghai China.

methodsA cross-sectional study was performed among the newly diagnosed ART-naive HIV-1 infected patients during the period from January 2017 to November 2017 in Shanghai Public Health Clinical Center. The target fragment of 1316 bp in the pol gene spanning the reverse transcriptase and protease regions was amplified using a nested polymerase chain reaction. HIV-1 genotypes were determined by phylogenetic analysis, and PDR associated mutations were determined according to Stanford University HIV Drug Resistance Database ( http://hivdb.stanford.edu/ ).

resultsWe successfully amplified pol gene sequences from blood samples of 317 patients, of whom 95.3% were male, and 68.8% were men who have sex with men. The median age was 33 years; and the median CD4 count was 275 cells/μL. The predominant HIV-1 genotype was circulating recombinant form (CRF) 01_AE (53.0%, 168/317), followed by CRF07_BC (29.7%, 94/317), B (7.6%, 24/317), CRF08_BC (1.9%, 6/317), CRF55_01B (1.9%, 6/317), CRF 59_01B (0.9%, 3/317). In addition, 5% (16/317) HIV-1 strains were identified as other subtypes or CRFs/URFs (unique recombinant forms). The overall prevalence of PDR was 17.4% (55/317). PDR frequency to non-nucleoside reverse transcriptase inhibitor (NNRTI, 16.4%) was much higher than that to nucleoside reverse transcriptase inhibitor (NRTI, 4.7%) and protease inhibitor (PI, 0.6%). The most common HIV-1 mutation pattern for NNRTI and NRTI were V179D/E (10.1%, 32/317) and M184 V (2.8%, 9/317), respectively. About half (49.1%, 27/55) of the HIV-1 strains with mutation presented as potential low-level resistant to NNRTI attributed to V179D/E.

conclusionThe distribution of HIV-1 genotypes in Shanghai China is diverse and complex. The high prevalence of PDR highlights the significance of baseline HIV-1 drug resistance testing. Non-NNRTI-containing regimen may be the preferred initial therapy for newly diagnosed HIV-1 patients in Shanghai in the absence of PDR test results.

Indexed as

AdultAgedAnti-HIV AgentsChinaCross-Sectional StudiesDrug Resistance, ViralFemaleGenes, polGenetic VariationGenotypeHIV-1HIV InfectionsHomosexuality, MaleHumansMaleMiddle AgedAnti-HIV AgentsAIDSGenotypeHIV-1MutationPretreatment drug resistance

Identifiers

PMID30961560
PMCPMC6454613

What OpenQuestion 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 OpenQuestion graph.