Evidence map›Paper›PMID 35966023›Full record

ArticleThe Lancet regional health. Western Pacific2022

The impact of COVID-19 non-pharmaceutical interventions on HIV care continuum in China: An interrupted time series analysis.

Xinsheng Wu, Guohui Wu, Yanmin Ma, Xiaojie Huang, Yuecheng Yang, Yanshan Cai, Ganfeng Luo, Ping Ma, Ying Qiao, Yuanyi Chen and 22 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 9% of its field
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

16 citing papers in PubMed, 25 citations in OpenAlex.

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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

32 authors at 15 institutions in 1 country.

Xinsheng WuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Guohui WuInstitute for AIDS/STD Control and Prevention, Chongqing Center for Disease Control and Prevention, Chongqing, People's Republic of China.
Yanmin MaInstitute for AIDS/STD Control and Prevention, Henan Provincial Center for Disease, Zhengzhou, People's Republic of China.
Xiaojie HuangClinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, People's Republic of China.
Yuecheng YangDehong Prefecture Center for Disease Control and Prevention, Dehong, People's Republic of China.
Yanshan CaiDepartment of AIDS Control and Prevention, Guangzhou Center for Disease Control and Prevention, Guangzhou, People's Republic of China.
Ganfeng LuoSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Ping MaDepartment of Infectious Diseases, Tianjin Second People's Hospital, Tianjin, People's Republic of China.
Ying QiaoNo.2 Hospital of Huhhot, Huhhot, People's Republic of China.
Yuanyi ChenSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Yi-Fan LinSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Yanxiao GaoSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Yuewei ZhanTalents and Discipline Office, Shenzhen People's Hospital, Shenzhen, People's Republic of China.
Wei SongShenyang Center for Disease Control and Prevention, Shenyang, People's Republic of China.
Yingying WangDepartment of STD/AIDS Control and Prevention, Shijiazhuang Center for Disease Control and Prevention, Shijiazhuang, People's Republic of China.
Rugang WangDalian Public Health Clinical Center, Dalian, People's Republic of China.
Xuejuan YangDepartment of Infectious Diseases, Yunnan Provincial Infectious Disease Hospital/Yunnan AIDS Care Center, Kunming, People's Republic of China.
Lijun SunClinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, People's Republic of China.
Hongxia WeiDepartment of infectious disease, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.
Quanmin LiInfectious disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People's Republic of China.
Xiaoli XinNo.6 People's Hospital of Shenyang, Shenyang, People's Republic of China.
Lijing WangShijiazhuang Fifth Hospital, Shijiazhuang, People's Republic of China.
Xicheng WangDepartment of Infectious Diseases, Yunnan Provincial Infectious Disease Hospital/Yunnan AIDS Care Center, Kunming, People's Republic of China.
Ronghui XieDepartment of Infectious Diseases, Yunnan Provincial Infectious Disease Hospital/Yunnan AIDS Care Center, Kunming, People's Republic of China.
Lijuan YangDepartment of Infectious Diseases, Yunnan Provincial Infectious Disease Hospital/Yunnan AIDS Care Center, Kunming, People's Republic of China.
Xiaojun MengEmergency Management Office, Wuxi Municipal Center for Disease Control and Prevention, Wuxi, People's Republic of China.
Jin ZhaoShenzhen Center for Disease Control and Prevention, Shenzhen, People's Republic of China.
Linghua LiInfectious disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People's Republic of China.
Tong ZhangClinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, People's Republic of China.
Junjie XuClinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, 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.
Huachun ZouSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, People's Republic of China.
Sun Yat-sen University · CNYunnan Provincial Infectious Disease Hospital · CNCapital Medical University · CNGuangzhou Eighth People's Hospital · CNFifth Hospital of Shijiazhuang · CNGuangzhou Center for Disease Control and Prevention · CNHebei Provincial Center for Disease Control and Prevention · CNHenan Provincial Center for Disease Control and Prevention · CNJiangsu Provincial Center for Disease Control and Prevention · CNNanjing University of Chinese Medicine · CNPeking University Shenzhen Hospital · CNShenyang Center for Disease Control and Prevention · CNShenzhen Center for Disease Control and Prevention · CNShenZhen People’s Hospital · CNTianjin Centers for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: China implemented strict non-pharmaceutical interventions to contain COVID-19 at the early stage. We aimed to evaluate the impact of COVID-19 on HIV care continuum in China. Methods: Aggregated data on HIV care continuum between 1 January 2017 and 31 December 2020 were collected from centers for disease control and prevention at different levels and major infectious disease hospitals in various regions in China. We used interrupted time series analysis to characterize temporal trend in weekly numbers of HIV post-exposure prophylaxis (PEP) prescriptions, HIV tests, HIV diagnoses, median time intervals between HIV diagnosis and antiretroviral therapy (ART) initiation (time intervals, days), ART initiations, mean CD4+ T cell counts at ART initiation (CD4 counts, cells/μL), ART collections, and missed visits for ART collection, before and after the implementation of massive NPIs (23 January to 7 April 2020). We used Poisson segmented regression models to estimate the immediate and long-term impact of NPIs on these outcomes. Findings: A total of 16,780 PEP prescriptions, 1,101,686 HIV tests, 69,659 HIV diagnoses, 63,409 time intervals and ART initiations, 61,518 CD4 counts, 1,528,802 ART collections, and 6656 missed visits were recorded during the study period. The majority of outcomes occurred in males (55·3-87·4%), 21-50 year olds (51·7-90·5%), Southwestern China (38·2-82·0%) and heterosexual transmission (47·9-66·1%). NPIs was associated with 71·5% decrease in PEP prescriptions (IRR 0·285; 95% CI 0·192-0·423), 36·1% decrease in HIV tests (0·639, 0·497-0·822), 32·0% decrease in HIV diagnoses (0·680, 0·511-0·904), 59·3% increase in time intervals (1·593, 1·270-1·997) and 17·4% decrease in CD4 counts (0·826, 0·746-0·915) in the first week during NPIs. There was no marked change in the number of ART initiations, ART collections and missed visits during the NPIs. By the end of 2020, the number of HIV tests, HIV diagnoses, time intervals, ART initiations, and CD4 counts reached expected levels, but the number of PEP prescriptions (0·523, 0·394-0·696), ART collections (0·720, 0·595-0·872), and missed visits (0·137, 0·086-0·220) were still below expected levels. With the ease of restrictions, PEP prescriptions (slope change 1·024/week, 1·012-1·037), HIV tests (1·016/week, 1·008-1·026), and CD4 counts (1·005/week, 1·001-1·009) showed a significant increasing trend. Interpretation: HIV care continuum in China was affected by the COVID-19 NPIs at various levels. Preparedness and efforts to maintain the HIV care continuum during public health emergencies should leverage collaborations between stakeholders. Funding: Natural Science Foundation of China.

Indexed as

ChinaCOVID-19HIVInterrupted time series analysisNon-pharmaceutical interventions (NPIs)

Identifiers

PMID35966023
PMCPMC9365399
OpenAlexW4290987559

What OpenQuestion holds

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Registered trials

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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.