Evidence map›Paper›PMID 41922606›Full record

ArticleScientific reports2026

Factors associated with lapses in care among people living with HIV in South Carolina.

Xueying Yang, Fanghui Shi, Shujie Chen, Gavi Samuel, Bankole Olatosi, Sharon Weissmen, Xiaoming Li, Jiajia Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Xueying Yang *Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, 29208, USA.
Fanghui Shi *Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, 29208, USA. FSHI@email.sc.edu.ORCID http://orcid.org/0000-0002-5603-5398
Shujie ChenArnold School of Public Health, South Carolina SmartState Center for Healthcare Quality, University of South Carolina, 915 Greene Street, Columbia, SC, 29208, USA.
Gavi SamuelDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA.
Bankole OlatosiArnold School of Public Health, South Carolina SmartState Center for Healthcare Quality, University of South Carolina, 915 Greene Street, Columbia, SC, 29208, USA.
Sharon WeissmenArnold School of Public Health, South Carolina SmartState Center for Healthcare Quality, University of South Carolina, 915 Greene Street, Columbia, SC, 29208, USA.
Xiaoming LiDepartment of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC, 29208, USA.
Jiajia ZhangArnold School of Public Health, South Carolina SmartState Center for Healthcare Quality, University of South Carolina, 915 Greene Street, Columbia, SC, 29208, USA.

Funding

Patterns and predictors of viral suppression: A Big Data approachR01AI164947 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI OLATOSI, BANKOLE, ZHANG, JIAJIA · 2021 to 2025
$4.4M
NIH HHS R01AI164947
6 · The paper itself

Abstract

Utilizing statewide electronic health records (EHR) data, this study aims to assess the factors determining the occurrence of lapses in HIV care among people with HIV (PWH) in South Carolina (SC). All adult (≥ 18 years old) PWH who were diagnosed with HIV between 2006 and 2018 with at least two HIV care encounters and at least 1-year follow-up record were included in the analysis. The outcome, a lapse in care, was defined as a repeated measure of HIV care encounter that occurs over a year following the previous visit. Generalized Estimation Equation models were employed. The study cohort had 8,856 PWH, of which 3,888 (43.9%) had a lapse in HIV care, and 1,405 (36.14%) PWH had multiple lapses. Background characteristics, such as longer duration of HIV diagnosis, being male, and being infected with HIV through injecting drug use or men who have sex with men were associated with a higher risk of a lapse in care. A variety of comorbidities, such as cardiovascular disease, liver disease, and renal disease, were associated with lower odds of a lapse in HIV care.

Indexed as

HIV InfectionsAdultAnti-HIV AgentsComorbidityElectronic Health RecordsFemaleHumansMaleMiddle AgedRisk FactorsSouth CarolinaAnti-HIV AgentsLapses in carePeople with HIVViral suppression

Identifiers

PMID41922606
PMCPMC13181054

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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.