Evidence map›Paper›PMID 40269207›Full record

ArticleScientific reports2025

Epidemiological and spatiotemporal analysis of elderly HIV-1/AIDS patients in Ningxia, China, from 2018 to 2023.

Zhonglan Wu, Yichang Liu, Xiaofa Ma, Yufeng Li, Xiaohong Zhu, Dongzhi Yang, Jianxin Pei, Yong Li

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
  2. Article
  3. Article
  4. 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

8 authors.

Zhonglan Wu *College of Life Sciences, Ningxia University, No.489, West Helanshan Road, Xixia District, Yinchuan, 750004, Ningxia Hui Autonomous Region, China.
Yichang Liu *School of Public Health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Xiaofa MaSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Yufeng LiSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Xiaohong ZhuSchool of Public Health, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.
Dongzhi YangNingxia Hui Autonomous Region Center for Disease Control and Prevention, NO.4 Fengchao Road, Yinchuan, 750004, Ningxia Hui Autonomous Region, China.
Jianxin PeiNingxia Hui Autonomous Region Center for Disease Control and Prevention, NO.4 Fengchao Road, Yinchuan, 750004, Ningxia Hui Autonomous Region, China. peijianxin282@163.com.
Yong LiCollege of Life Sciences, Ningxia University, No.489, West Helanshan Road, Xixia District, Yinchuan, 750004, Ningxia Hui Autonomous Region, China. liyong7732@nxu.edu.cn.

Funding

Human Resources and Social Security Bureau of Ningxia Hui Autonomous Region 2020 Ningxia Returned Personnel Innovation and Entrepreneurship Project (No. [2021] No. 5)
6 · The paper itself

Abstract

To analyze the epidemiological transmission characteristics and spatiotemporal distribution patterns of the elderly HIV-1/AIDS population in NHAR from 2018 to 2023, to provide theoretical support for the targeted formulation and implementation of HIV-1 interventions. A cross-sectional study was conducted in August 2024. Plasma samples were collected from the elderly HIV-1/AIDS patients (> 50 years old) in NHAR, followed by RNA extraction and RT-PCR to amplify the pol gene of HIV-1. The amplicons were sequenced for the partial pol region. Subtyping was performed using online tools from the HIV-1 database and MEGA11. Drug resistance was analyzed using the Stanford University HIVdb algorithm. Molecular transmission networks were constructed using Cytoscape 3.10.0. Logistic regression was performed to identify the potential risk factors. Spatial analysis revealed the geographic patterns of elderly HIV-1/AIDS patients. A total of 208 HIV-1/AIDS patients were included in this study, predominantly male (78.37%), primary school and below (46.63%), heterosexual transmission (80.77%) and farmers (52.40%). Nine genetic subtypes were identified, with CRF07_BC being the most common (54.81%). The overall drug resistance rate was 37.98%. The number of network nodes increased from 18 in 2018 to 107 in 2023, with large propagating clusters in 2023 merging or expanding from smaller clusters in previous years. Logistic regression analysis showed that males had a lower risk of transmission, individuals from Yinchuan, Shizuishan, and Wuzhong had a lower probability of entering the network, and CRF07_BC and CRF01_AE had a higher risk of transmission. From 2020 to 2023, there was a highly significant clustering pattern among elderly HIV/AIDS patients in NHAR, with shifts in hotspots. Yuanzhou District remained a persistent cold spot. This study reveals that the elderly HIV-1/AIDS patients in NHAR were predominantly married, male, and engaged in farming, with low levels of education. An increase in the diversity of viral genetic subtypes was observed, along with a high rate of drug resistance. The molecular network expanded significantly, accompanied by the emergence of large transmission clusters, indicating complex transmission patterns. The spatial distribution of these cases exhibited aggregation, with notable differences observed between districts and counties. To effectively intervene in the transmission of HIV-1 among the elderly population, it is essential to establish a long-term dynamic molecular transmission surveillance network and to improve AIDS screening and drug resistance testing.

Indexed as

Acquired Immunodeficiency SyndromeHIV-1HIV InfectionsAgedChinaCross-Sectional StudiesDrug Resistance, ViralFemaleHumansMaleMiddle AgedRisk FactorsSpatio-Temporal AnalysisElderly populationEpidemiological analysisHIV-1Spatiotemporal analysis

Identifiers

PMID40269207
PMCPMC12019375

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.