ArticleBMC research notes2025
CD4 cell count and viral load count association and its joint risk factors among adult TB/HIV co-infected patients: a retrospective follow-up study.
Article in BMC research notes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence and determinants of virologic failure among HIV patients on ART in Africa: A systematic review and meta-analysis.Virology journal · 2025Pooled it
- Real-World Multicenter Study on the Effectiveness of Dolutegravir Plus Lamivudine in Treatment-Naive People Living with HIV with Baseline HIV-1 RNA > 500,000 Copies/mL.Infectious diseases and therapy · 2026Article
- Challenges in Achieving Viral Suppression Among Adolescents and Young Adults Under a Dolutegravir-Based Regimen: Living with HIV in Gabon.Pathogens (Basel, Switzerland) · 2026Article
- Impact of HIV disclosure and related predictors on CD4 cell count among adults under first-line ART regimen at Felege Hiwot comprehensive specialized referral hospital, North West Ethiopia.BMC research notes · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of this study was to determine CD4 cell count and viral load count association and its joint clinical risk factors among adult TB/HIV co-infected patients. The purpose of this research was leads to contribute improved planning and execution of screening programs, regular follow-ups, and prevention measures.
resultThe baseline variability for viral load ([Formula: see text]) was higher than CD4 cell (819.797). Furthermore, the correlation matrix (R) shows that the baseline subject-specific CD4 cell and viral load were negatively correlated (- 0.[Formula: see text]). There was also a negative relationship between the subject-specific change CD4 cell and baseline viral load (-[Formula: see text]), subject-specific baseline CD4 cell, and the patient-specific change of viral load (-0.6513), longitudinal trajectory (association of evolution) for the two random slopes [Formula: see text]-0.9413). Then, there was very strong negative relationship between subject-specific change CD4 cell and viral load over time. Visit time[Formula: see text], white blood cell[Formula: see text], good[Formula: see text] and fair[Formula: see text]) adherence, hemoglobin ≥ 11 g/dl[Formula: see text], baseline CD4 cell ≥ 200 cells/mm
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