Evidence map›Paper›PMID 28484257›Full record

ArticleScientific reports2017

HIV-1 CRF01_AE strain is associated with faster HIV/AIDS progression in Jiangsu Province, China.

Minjie Chu, Wuhong Zhang, Xuan Zhang, Wenjie Jiang, Xiping Huan, Xiaojun Meng, Bowen Zhu, Yue Yang, Yusha Tao, Tian Tian and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
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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

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

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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

14 authors.

Minjie ChuDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Wuhong ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Xuan ZhangWuxi Municipal Centre for Disease Control and Prevention, Wuxi, Jiangsu, China.
Wenjie JiangDepartment of Management Studies, University of Bath, Bath, UK.
Xiping HuanJiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Xiaojun MengWuxi Municipal Centre for Disease Control and Prevention, Wuxi, Jiangsu, China.
Bowen ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Yue YangDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Yusha TaoDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Tian TianDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Yihua LuDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Liying JiangDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China.
Lei ZhangSchool of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
Xun ZhuangDepartment of Epidemiology and Biostatistics, School of Public Health, Nantong University, Nantong, Jiangsu, China. xzhuang@ntu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this study was to assess risk factors associated with HIV/AIDS progression. Between May 2007 and December 2014, 114 subjects were enrolled in Wuxi City and examined every 6 months. The pol gene sequence was amplified to ascertain the HIV-1 subtype. A Cox proportional hazards regression model was used to estimate the factors associated with HIV/AIDS progression. The median follow-up time for all 114 subjects was 26.70 months (IQR: 18.50-41.47), while the median progression time of the 38 progressed subjects was 24.80 months (IQR: 14.13-34.38). Overall, the CRF01_AE subtype was correlated with a significant risk of accelerated progression compared to non-CRF01_AE subtypes (HR = 3.14, 95%CI: 1.39-7.08, P = 0.006). In addition, a lower CD4 count (350-499) at baseline was associated with a risk of accelerated HIV/AIDS progression compared to higher CD4 count (≥500) (HR = 4.38, 95%CI: 1.95-9.82, P < 0.001). Furthermore, interaction analyses showed that HIV-1 subtypes interacted multiplicatively with transmission routes or CD4 count at baseline to contribute to HIV/AIDS progression (P = 0.023 and P < 0.001, respectively). In conclusion, the CRF01_AE subtype and a lower CD4 count at baseline tend to be associated with the faster progression of HIV/AIDS. Understanding the factors affecting HIV/AIDS progression is crucial for developing personalized management and clinical counselling strategies.

Indexed as

Disease ProgressionAdolescentAdultAgedCD4 Lymphocyte CountChinaFemaleHIV-1HIV InfectionsHumansKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsYoung Adult

Identifiers

PMID28484257
PMCPMC5431509

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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.