Evidence map›Paper›PMID 40889219›Full record

ArticleVirulence2025

Epidemic dynamics and clinical characteristics of HIV-1 CRF07_BC_N and CRF07_BC_O in Shanghai, 2017-2023.

Yingying Ma, Min Zhang, Le Cao, Zhenyan Wang, Renfang Zhang, Yanpeng Li, Yakhouba Kane, Zhenzhou Wan, Chiyu Zhang

Abstract read
In one paragraph

Article in Virulence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Yingying MaBasic Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Min ZhangMedical Laboratory, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Le CaoBasic Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Zhenyan WangInfectious Diseases and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Renfang ZhangInfectious Diseases and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yanpeng LiBasic Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yakhouba KaneBasic Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Zhenzhou WanMedical Laboratory, Taizhou Fourth People's Hospital, Taizhou, China.
Chiyu ZhangBasic Research, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.ORCID 0000-0001-8735-9857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid expansion of CRF07_BC is primarily driven by the CRF07_BC_N (07BC_N) lineage, with its proportion surpassing that of CRF01_AE in China. However, the intra-host evolution and clinical characteristics of CRF07_BC remain poorly understood. In this study, we conducted systematic surveillance of newly diagnosed HIV-1 patients in Shanghai from 2017 to 2023. A total of 2508 pol sequences of CRF07_BC were obtained, and an additional 130 near-full-length CRF07_BC genomes were generated using next-generation sequencing (NGS) for further analysis. The prevalence of 07BC_N in Shanghai consistently exceeded that of CRF07_BC_O (07BC_O). At baseline, individuals infected with 07BC_N exhibited lower viral loads and higher CD4

Indexed as

HIV-1HIV InfectionsAdultCD4 Lymphocyte CountChinaDrug Resistance, ViralEpidemicsFemaleGenome, ViralGenotypeHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPhylogenyPrevalenceCRF07_BCgenomeHIV-1intra-hostmolecular epidemiologytransmission

Identifiers

PMID40889219
PMCPMC12413029

What OpenQuestion holds

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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.