Evidence map›Paper›PMID 34698955›Full record

ArticleAIDS and behavior2022

Baseline and Process Factors of Anti-Retroviral Therapy That Predict Loss to Follow-up Among People Living with HIV/AIDS in China: A Retrospective Cohort Study.

Jinzhao Xie, Jing Gu, Xiuyuan Chen, Cong Liu, Haidan Zhong, Peishan Du, Quanmin Li, Joseph T F Lau, Chun Hao, Linghua Li and 2 more

Abstract read
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In one paragraph

Article in AIDS and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

12 authors.

Jinzhao Xie *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Jing Gu *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China. gujing5@mail.sysu.edu.cn.
Xiuyuan ChenDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Cong LiuDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Haidan ZhongDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Peishan DuDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Quanmin LiDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Joseph T F LauSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Chun HaoDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Linghua LiDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China. llheliza@126.com.
Yuantao HaoDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Weiping CaiDepartment of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.

Funding

Chinese 13th Five-Year National Science and Technology Major Project 2017ZX10202101-003Chinese 13th Five-Year National Science and Technology Major Project 2018ZX10302103-002Major Project of Health Care Collaborative Innovation of Guangzhou Science and Technology Innovation Commission 201803040002National Natural Science Foundation of China 71774178national science and technology major project of the ministry of science and technology of china 2018ZX10715004Science and Technology Planning Project of Guangdong (CN) 2017A020212006
6 · The paper itself

Abstract

We explored the predictors and predictive models of loss to follow-up (LTFU) during the first year of anti-retroviral therapy (ART). LTFU was defined as the failure to visit the clinic for antiretroviral drugs for ≥ 90 days after the last missed scheduled visit. Based on the electronic medical records of 5953 patients who were HIV positive and began ART between 2016 and 2019 in China, the LTFU rate was 7.24 (95% confidence interval 6.49-7.97) per 100 person-years during the first year of ART. ART baseline factors were associated with LTFU, but were non-optimal predictors. A model including ART process-related factors such as follow-up behaviors and physical health status had an area under the receiver operating characteristic curve of 73.4% for predicting LTFU. Therefore, the medical records of follow-up visits can be used to identify patients with a high risk of LTFU and allow interventions to be implemented proactively.

Indexed as

HIV InfectionsChinaElectronic Health RecordsFollow-Up StudiesHumansLost to Follow-UpRetrospective StudiesAntiretroviral therapyChinaLoss to follow-upPredictive model

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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.