Evidence map›Paper›PMID 37580822›Full record

ArticleInfectious diseases of poverty2023

Immediate and long-term outcomes after treat-all among people living with HIV in China: an interrupted time series analysis.

Xinsheng Wu, Guohui Wu, Ping Ma, Rugang Wang, Linghua Li, Yinghui Sun, Junjie Xu, Yuwei Li, Tong Zhang, Quanmin Li and 15 more

Abstract read
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Article in Infectious diseases of poverty, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  14. Trends in HIV/AIDS-Related Mortality and the Impact of Antiretroviral Treatment Strategies in Lu'an City: A Comprehensive Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2024
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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

25 authors.

Xinsheng Wu *Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
Guohui Wu *Institute for AIDS/STD Control and Prevention, Chongqing Center for Disease Control and Prevention, Chongqing, People's Republic of China.
Ping Ma *Department of Infectious Diseases, Tianjin Second People's Hospital, Tianjin, People's Republic of China.
Rugang Wang *Dalian Public Health Clinical Center, Dalian, People's Republic of China.
Linghua Li *Infectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People's Republic of China.
Yinghui SunShenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
Junjie XuClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, People's Republic of China.
Yuwei LiShenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
Tong ZhangClinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, No.8 Xitoutiao, Youanmenwai, Feng Tai District, Beijing, 100069, People's Republic of China.
Quanmin LiInfectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People's Republic of China.
Yuecheng YangDehong Prefecture Center for Disease Control and Prevention, Dehong, People's Republic of China.
Lijing WangShijiazhuang Fifth Hospital, Shijiazhuang, People's Republic of China.
Xiaoli XinNo.6 People's Hospital of Shenyang, Shenyang, People's Republic of China.
Ying QiaoNo.2 Hospital of Hohhot, Hohhot, People's Republic of China.
Bingxue FangShenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
Zhen LuShenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
Xinyi ZhouShenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
Yuanyi ChenShenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
Qi LiuShenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
Gengfeng FuDepartment of STD/AIDS Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, People's Republic of China.
Hongxia WeiDepartment of Infectious Disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, 1-1 Zhongfu Road, Nanjing, 210036, Jiangsu, People's Republic of China. wghongxia@sina.com.
Xiaojie HuangClinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, No.8 Xitoutiao, Youanmenwai, Feng Tai District, Beijing, 100069, People's Republic of China. huangxiaojie78@ccmu.edu.cn.
Bin SuClinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, No.8 Xitoutiao, Youanmenwai, Feng Tai District, Beijing, 100069, People's Republic of China. binsu@ccmu.edu.cn.
Hui WangNational Clinical Research Centre for Infectious Diseases, The Third People's Hospital of Shenzhen and The Second Affiliated Hospital of Southern, University of Science and Technology, Bulan Road 29#, Longgang District, Shenzhen, 518112, Guangdong, People's Republic of China. huiwang98@szsy.sustech.edu.cn.
Huachun ZouSchool of Public Health, Fudan University, 130 Dongan Road, Xuhui District, Shanghai, 200032, People's Republic of China. hzou@kirby.unsw.edu.au.ORCID http://orcid.org/0000-0002-8161-7576

Funding

Natural Science Foundation of China Excellent Young Scientists Fund 82022064
6 · The paper itself

Abstract

backgroundIn 2003, China implemented free antiretroviral therapy (ART) for people living with HIV (PLHIV), establishing an eligibility threshold of CD4 < 200 cells/μl. Subsequently, the entry criteria were revised in 2012 (eligibility threshold: CD4 ≤ 350 cells/μl), 2014 (CD4 ≤ 500 cells/μl), and 2016 (treat-all). However, the impact of treat-all policy on HIV care and treatment indicators in China is unknown. We aimed to elucidate the immediate and long-term impact of the implementation of treat-all policy in China.

methodsAnonymized programmatic data on ART initiation and collection in PLHIV who newly started ART were retrieved between 1 January 2015 and 31 December 2019, from two provincial and municipal Centers for Disease Control and Prevention and ten major infectious disease hospitals specialized in HIV care in China. We used Poisson and quasi-Poisson segmented regression models to estimate the immediate and long-term impact of treat-all on three key indicators: monthly proportion of 30-day ART initiation, mean CD4 counts (cells/μl) at ART initiation, and mean estimated time from infection to diagnosis (year). We built separate models according to gender, age, route of transmission and region.

resultsMonthly data on ART initiation and collection were available for 75,516 individuals [gender: 83.8% males; age: median 39 years, interquartile range (IQR): 28-53; region: 18.5% Northern China, 10.9% Northeastern China, 17.5% Southern China, 49.2% Southwestern China]. In the first month of treat-all, compared with the contemporaneous counterfactual, there was a significant increase in proportion of 30-day ART initiation [+ 12.6%, incidence rate ratio (IRR) = 1.126, 95% CI: 1.033-1.229; P = 0.007] and mean estimated time from infection to diagnosis (+ 7.0%, IRR = 1.070, 95% CI: 1.021-1.120; P = 0.004), while there was no significant change in mean CD4 at ART initiation (IRR = 0.990, 95% CI: 0.956-1.026; P = 0.585). By December 2019, the three outcomes were not significantly different from expected levels. In the stratified analysis, compared with the contemporaneous counterfactual, mean CD4 at ART initiation showed significant increases in Northern China (+ 3.3%, IRR = 1.033, 95% CI: 1.001-1.065; P = 0.041) and Northeastern China (+ 8.0%, IRR = 1.080, 95% CI: 1.003-1.164; P = 0.042) in the first month of treat-all; mean estimated time from infection to diagnosis showed significant increases in male (+ 5.6%, IRR = 1.056, 95% CI: 1.010-1.104; P = 0.016), female (+ 14.8%, IRR = 1.148, 95% CI: 1.062-1.240; P < 0.001), aged 26-35 (+ 5.3%, IRR = 1.053, 95% CI: 1.001-1.109; P = 0.048) and > 50 (+ 7.8%, IRR = 1.078, 95% CI: 1.000-1.161; P = 0.046), heterosexual transmission (+ 12.4%, IRR = 1.124, 95% CI: 1.042-1.213; P = 0.002) and Southwestern China (+ 12.9%, IRR = 1.129, 95% CI: 1.055-1.208; P < 0.001) in the first month of treat-all.

conclusionsThe implementation of treat-all policy in China was associated with a positive effect on HIV care and treatment outcomes. To advance the work of rapid ART, efforts should be made to streamline the testing and ART initiation process, provide comprehensive support services, and address the issue of uneven distribution of medical resources.

Indexed as

Anti-HIV AgentsHIV InfectionsAdultCD4 Lymphocyte CountChinaFemaleHumansInterrupted Time Series AnalysisMaleMiddle AgedTreatment OutcomeAnti-HIV AgentsAntiretroviral therapyCD4HIVTreat-all

Identifiers

PMID37580822
PMCPMC10424386

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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.