Evidence map›Paper›PMID 40308565›Full record

ArticleThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale2025

Time-Homogeneous Markov Modeling of HIV Progression in Patients Receiving Antiretroviral Therapy Treatment in the Ashanti Region, Ghana.

Michael Fosu Ofori, Gerald Ohene Agyekum, Michael Arthur Ofori, Samuel Akwasi Adarkwa

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Article in The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

4 authors.

Michael Fosu OforiDepartment of Statistical Sciences, Kumasi Technical University, Kumasi, Ghana.ORCID https://orcid.org/0000-0002-4201-1993
Gerald Ohene AgyekumDepartment of Mathematics, Tarleton State University, Stephenville, Texas, USA.ORCID https://orcid.org/0009-0006-7152-0582
Michael Arthur OforiSchool of Public Health, University of Memphis, Memphis, Tennessee, USA.ORCID https://orcid.org/0000-0002-4983-540X
Samuel Akwasi AdarkwaDepartment of Statistical Sciences, Kumasi Technical University, Kumasi, Ghana.ORCID https://orcid.org/0000-0002-1610-9225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global HIV/AIDS pandemic remains a profound public health challenge, with substantial impacts on mortality and morbidity worldwide. In Ghana, where HIV prevalence persists, understanding disease progression among patients receiving antiretroviral therapy (ART) is crucial. This study, conducted in the Ashanti Region, employs a 5-state continuous-time Markov multistate model to analyze HIV progression based on CD4 cell counts, employing tuberculosis (TB) coinfection as a covariate. A retrospective cohort of 416 patients from St. Martins Catholic Hospital between 2000 and 2019 was studied. Transition intensities, sojourn time and probabilities between CD4 states, and the impact of TB coinfection were evaluated. The results showed that patients with CD4 counts ≥ 500 cells/mm

Indexed as

antiretroviral therapy (ART)disease progressionHIV/AIDSMarkov modelmultistate model

Identifiers

PMID40308565
PMCPMC12041622

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Registered trials

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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.