Evidence map›Paper›PMID 33247541›Full record

ArticleJournal of the International AIDS Society2020

Antiretroviral treatment interruption among people living with HIV during COVID-19 outbreak in China: a nationwide cross-sectional study.

Yinghui Sun, Hui Li, Ganfeng Luo, Xiaojun Meng, Wei Guo, Thomas Fitzpatrick, Yunlong Ao, Anping Feng, Bowen Liang, Yuewei Zhan and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the International AIDS Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 12% 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 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

16 authors at 5 institutions in 3 countries.

Yinghui SunSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.ORCID 0000-0001-9946-9877
Hui LiShizhong District Center for Disease Control and Prevention, Jinan, China.ORCID 0000-0003-2351-9377
Ganfeng LuoSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.ORCID 0000-0003-2043-4554
Xiaojun MengWuxi Municipal Center for Disease Control and Prevention, Wuxi, China.ORCID 0000-0001-5201-0452
Wei GuoUNAIDS China Office, Beijing, China.ORCID 0000-0002-7685-725X
Thomas FitzpatrickDepartment of Internal Medicine, University of Washington, Seattle, WA, USA.ORCID 0000-0002-0852-7291
Yunlong AoDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital affiliated to Guangzhou Medical School, Guangzhou, China.ORCID 0000-0002-1513-2108
Anping FengSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.ORCID 0000-0002-1923-8786
Bowen LiangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.ORCID 0000-0001-6259-7373
Yuewei ZhanSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.ORCID 0000-0002-4855-1800
Amakobe SandeUNAIDS China Office, Beijing, China.ORCID 0000-0002-6946-0270
Feng XieChongqing Blue Sky nongovernment organization, Chongqing, China.ORCID 0000-0001-9530-3052
Ying WangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-3126-1134
Han-Zhu QianSJTU-Yale Joint Center for Biostatistics and Data Science, Department of Bioinformatics and Biostatistics, School of Life Science and Biotechnology, Shanghai Jiao Tong University (SJTU), Shanghai, China.ORCID 0000-0003-2785-2628
Yong CaiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-5706-7906
Huachun ZouSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.ORCID 0000-0002-8161-7576
Sun Yat-sen University · CNShanghai Jiao Tong University · CNGuangzhou Eighth People's Hospital · CNShandong Center for Disease Control and Prevention · CNUniversity of Washington · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Australian National Health and Medical Research Commission (NHMRC) Early Career Fellowship APP1092621High Level Project of Medicine in Longhua, Shenzhen HLPM201907020105National Key Research and Development Program of China 2020YFC0840900National Science and Technology Major Project of China 2018ZX10721102Natural Science Foundation of China International/Regional Research Collaboration Project 72061137001Natural Science Foundation of China Young Scientist Fund 81703278NCATS NIH HHS UL1 TR001863Sanming Project of Medicine in Shenzhen SZSM201811071
6 · The paper itself

Abstract

introductionSocial disruption associated with coronavirus disease 2019 (COVID-19) threatens to impede access to regular healthcare, including for people living with HIV (PLHIV), potentially resulting in antiretroviral therapy (ART) interruption (ATI). We aimed to explore the characteristics and factors associated with ATI during the COVID-19 outbreak in China.

methodsWe conducted an online survey among PLHIV by convenience sampling through social media between 5 and 17 February 2020. Respondents were asked to report whether they were at risk of ATI (i.e. experienced ATI, risk of imminent ATI, threatened but resolved risk of ATI [obtaining ART prior to interruption]) or were not at risk of ATI associated with the COVID-19 outbreak. PLHIV were also asked to report perceived risk factors for ATI and sources of additional ART. The factors associated with the risk of ATI were assessed using logistic regression. We also evaluated the factors associated with experienced ATI.

resultsA total of 5084 PLHIV from 31 provinces, autonomous regions and municipalities in mainland China completed the survey, with valid response rate of 99.4%. The median age was 31 years (IQR 27 to 37), 96.5% of participants were men, and 71.3% were men who had sex with men. Over one-third (35.1%, 1782/5084) reported any risk of ATI during the COVID-19 outbreak, including 2.7% (135/5084) who experienced ATI, 18.0% (917/5084) at risk of imminent ATI and 14.4% (730/5084) at threatened but resolved risk. PLHIV with ATI were more likely to have previous interruptions in ART (aOR 8.3, 95% CI 5.6 to 12.3), travelled away from where they typically receive HIV care (aOR 3.0, 95% CI 2.1 to 4.5), stayed in an area that implemented citywide lockdowns or travel restrictions to control COVID-19 (aOR 2.5, 95% CI 1.4 to 4.6), and be in permanent residence in a rural area (aOR 3.7, 95% CI 2.3 to 5.8).

conclusionsA significant proportion of PLHIV in China are at risk of ATI during the COVID-19 outbreak and some have already experienced ATI. Correlates of ATI and self-reported barriers to ART suggest that social disruptions from COVID-19 have contributed to ATI. Our findings demonstrate an urgent need for policies and interventions to maintain access to HIV care during public health emergencies.

Indexed as

Continuity of Patient CareSARS-CoV-2AdultAnti-Retroviral AgentsChinaCOVID-19Cross-Sectional StudiesFemaleHealth Care SurveysHIV InfectionsHumansLogistic ModelsMaleMiddle AgedRisk FactorsRural PopulationAnti-Retroviral Agentsantiretroviral therapyantiretroviral therapy interruptionChinaCOVID-19HIVlockdown

Identifiers

PMID33247541
PMCPMC7645858
OpenAlexW3095964573

What OpenQuestion 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 OpenQuestion graph.