ArticleAIDS research and human retroviruses2016
The Perilous Road from HIV Diagnosis in the Hospital to Viral Suppression in the Outpatient Clinic.
Article in AIDS research and human retroviruses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Outcomes of people living with HIV after hospital discharge: a systematic review and meta-analysis.The lancet. HIV · 2022Pooled it
- Ensuring effective transitions in care for hospitalized people living with HIV.Frontiers in public health · 2026Review
- Clinical and Health Care Resource Use Outcomes Associated With Resistance to Antiretroviral Therapy Among Veterans With HIV.Open forum infectious diseases · 2025Article
- Evaluating the delivery of care by telemedicine for incarcerated people living with HIV: a cohort study.BMC infectious diseases · 2024Article
- Health Information Exchange: A Novel Re-linkage Intervention in an Urban Health System.Open forum infectious diseases · 2019Article
- Trends and Racial Disparities of Late-Stage HIV Diagnosis: Hawaii, 2010-2016.American journal of public health · 2018Article
- Challenges Across the HIV Care Continuum for Patients With HIV/TB Co-infection in Atlanta, GA [corrected].Open forum infectious diseases · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
The HIV care continuum has received considerable attention in recent years, however, few care continua focus on the population of patients who are diagnosed during an inpatient hospital admission. We aimed to describe the HIV care continuum for patients newly diagnosed during hospitalization through 24-month follow-up. A retrospective chart review of HIV patients diagnosed at Grady Memorial Hospital from 2011 to 2012 was performed and records were matched to Georgia Department of Public Health HIV/AIDS surveillance data. Descriptive statistics and statistical tests of independence were utilized. Ninety-four new diagnoses were confirmed during the 2-year study period. Median age was 43 years (interquartile range [IQR] 30-51), 77% were male, 72% were non-Hispanic Black, 31% were men who have sex with men (MSM), and 77% were uninsured. Median CD4 count at diagnosis was 134 cells/μL (IQR 30-307). Eighty-four percent received their diagnosis before hospital discharge, 68% linked to care by 90 days, 73% were retained for 12 months, 48% were virologically suppressed by 12 months, 58% were retained for 24 continuous months, and 38% achieved continuous viral suppression (VS) during the initial 24 months after diagnosis. Late diagnosis is a persistent problem in hospitalized patients. Despite relative success with linkage to care and 12-month retention in care, a minority of patients maintained retention and VS for 24 continuous months.
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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.