Evidence map›Paper›PMID 40025191›Full record

ArticleJournal of mathematical biology2025

Evaluating the long-term effects of combination antiretroviral therapy of HIV infection: a modeling study.

Jing Cai, Jun Zhang, Kai Wang, Zhixiang Dai, Zhiliang Hu, Yueping Dong, Zhihang Peng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of mathematical biology, 2025. 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

7 authors.

Jing CaiSchool of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, Jiangsu, China.
Jun ZhangSchool of Mathematics and Statistics, and Key Laboratory of Nonlinear Analysis and Applications (Ministry of Education), Central China Normal University, 152 Luoyu Road, Wuhan, 430079, Hubei, China.
Kai WangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, No. 2 East Cherry Garden Street, Beijing, 100029, China.
Zhixiang DaiSchool of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, Jiangsu, China.
Zhiliang HuNanjing Infectious Disease Center, The Second Hospital of Nanjing, Tangshan Street, Nanjing, 211113, Jiangsu, China.
Yueping DongSchool of Mathematics and Statistics, and Key Laboratory of Nonlinear Analysis and Applications (Ministry of Education), Central China Normal University, 152 Luoyu Road, Wuhan, 430079, Hubei, China. ypdong@ccnu.edu.cn.
Zhihang PengSchool of Public Health, Nanjing Medical University, 101 Longmian Road, Nanjing, 211166, Jiangsu, China. zhihangpeng@njmu.edu.cn.ORCID 0000-0003-4372-2487

Funding

National Natural Science Foundation of China 12371488National Natural Science Foundation of China 82073673National Natural Science Foundation of China 82320108018self-determined research funds of CCNU from the colleges' basic research and operation of MOE CCNU24JC002
6 · The paper itself

Abstract

Current HIV/AIDS treatments effectively reduce viral loads to undetectable levels as measured by conventional clinical assays, but immune recovery remains highly variable among patients. To assess the long-term treatment efficacy, we propose a mathematical model that incorporates latently infected CD4

Indexed as

Anti-HIV AgentsHIV InfectionsModels, BiologicalModels, ImmunologicalAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountCD4-Positive T-LymphocytesCell ProliferationComputer SimulationDrug Therapy, CombinationHomeostasisHumansMathematical ConceptsViral LoadVirus LatencyAnti-HIV AgentsBifurcations and periodic orbitsBistabilityData fittingLatent HIV infectionWithin-host model

Identifiers

PMID40025191
PMCPMC11872777

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.