ArticleAIDS care2021
Comorbidity patterns among people living with HIV: a hierarchical clustering approach through integrated electronic health records data in South Carolina.
Article in AIDS care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Applications of Machine Learning for Cognitive Health in Older Individuals With HIV: Rapid Systematic Review.JMIR aging · 2025Pooled it
- Thyroid disorders in patients with human immunodeficiency virus infection: a meta-analysis.AIDS research and therapy · 2025Pooled it
- Increasing Multimorbidity Burden After COVID-19 Infection Among People With and Without HIV in the United States: Insights From the National Clinical Cohort Collaborative (N3C).Open forum infectious diseases · 2026Article
- Accumulation of metabolic multimorbidity and its association with mortality: results from a prospective cohort study among people with HIV in China, 2010-2024.The Lancet regional health. Western Pacific · 2026Article
- Temporal network analysis of comorbidities among people with HIV in South Carolina.HIV medicine · 2026Article
- Association rule mining and network analysis of the evolving comorbidity patterns in HIV inpatients in Baise, China.Frontiers in public health · 2026Article
- Multimorbidity Patterns and Cluster Characteristics Among People Living with HIV in the Korean HIV/AIDS Cohort, 2006-2023.Public health weekly report · 2026Article
- A Contemporary Multifaceted Narrative Review on Thyroid Dysfunction in People Living with Human Immunodeficiency Virus.Biomedicines · 2025Review
- Leveraging Electronic Health Records and Claims Data to Improve HIV and Comorbidity Care Trajectories: A Scoping Review.Current HIV/AIDS reports · 2025Article
- Central Role of Hypertension in HIV Comorbidity Networks: A Population-Based Study of Age and Sex-Specific Patterns in Southwest China.Journal of the American Heart Association · 2025Article
- Longitudinal evolution and risk profiles of comorbidity among people with HIV in China: a retrospective cohort study.Frontiers in public health · 2025Article
- COVID-19 Testing Among People with HIV: A Population Level Analysis Based on Statewide Data in South Carolina.AIDS and behavior · 2024Article
- Characterizing multimorbidity in ALIVE: comparing single and ensemble clustering methods.American journal of epidemiology · 2024Article
- Comorbidity Burden and Health Care Utilization by Substance use Disorder Patterns among People with HIV in Florida.AIDS and behavior · 2024Article
- Multicomorbidity in Psoriasis Vulgaris: A Retrospective Analysis.Clinical, cosmetic and investigational dermatology · 2024Article
- Simian immunodeficiency virus-infected rhesus macaques with AIDS co-develop cardiovascular pathology and encephalitis.Frontiers in immunology · 2023Article
- Changes in multimorbidity burden over a 3-5 year period among people with HIV.Frontiers in systems biology · 2023Article
- Emergence and evolution of big data science in HIV research: Bibliometric analysis of federally sponsored studies 2000-2019.International journal of medical informatics · 2021Review
- Multimorbidity frameworks impact the composition of patterns and their associations with patient-reported outcomes among people with HIV.Journal of multimorbidity and comorbidityArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Comorbidity among people living with HIV (PLWH) is understudied although identifying its patterns and socio-demographic predictors would be beneficial for comorbidity management. Using electronic health records (EHR) data, 8,490 PLWH diagnosed between January 2005 and December 2016 in South Carolina were included in the current study. An initial list of 86 individual diagnoses of chronic conditions was extracted in the EHR data. After grouping individual diagnoses with a pathophysiological similarity, 24 diagnosis groups were generated. Hierarchical cluster analysis was applied to these 24 diagnosis groups and yielded four comorbidity clusters: "substance use and mental disorder" (e.g., alcohol use, depression, and illicit drug use); "metabolic disorder" (e.g., hypothyroidism, diabetes, hypertension, and chronic kidney disease); "liver disease and cancer" (e.g., hepatitis B, chronic liver disease, and non-AIDS defining cancers); and "cerebrovascular disease" (e.g., stroke and dementia). Multivariable logistic regression was conducted to investigate the association between socio-demographic factors and multimorbidity (defined as concurrence of ≥ 2 comorbidity clusters). The multivariable logistic regression showed that age, gender, transmission risk, race, initial CD4 counts, and viral load were significant factors associated with multimorbidity. The results suggested the importance of integrated clinical care that addresses the complexities of multiple, and potentially interacting comorbidities among PLWH.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.