Evidence map›Paper›PMID 41601973›Full record

ArticleFrontiers in pharmacology2025

Association of medication regimen complexity index with ADRs in HIV/AIDS patients: a retrospective cohort study.

Ji Sun, Hui Qi, Jingmeng Huang, Ying Wang, Yu Xiang, Gefei He, Shiqiong Huang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ji SunThe Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Hui QiThe Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Jingmeng HuangThe First People's Hospital of Zixing, Chenzhou, Hunan, China.
Ying WangChangsha County Hospital of Traditional Chinese Medicine, Changsha, Hunan, China.
Yu XiangPeople's Hospital of Baojing County, Xiangxi Tujiaand MiaoAutonomous Prefecture, Hunan, China.
Gefei HeThe Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Shiqiong HuangThe Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the correlation between the medication regimen complexity index (MRCI) and adverse drug reactions (ADRs) among acquired immunodeficiency syndrome (AIDS) patients in the Chinese population. Introduction: The complexity of antiretroviral therapy (ART) regimens in individuals living with human immunodeficiency virus (HIV) presents significant challenges to medication management. To date, no studies have investigated the correlation between the MRCI and ADRs. Methods: This study retrospectively enrolled 1,010 patients. The MRCI was utilized to quantify the complexity of pharmacological treatment regimens. All suspected ADRs were assessed for causality using the World Health Organization-Uppsala Monitoring Centre (WHO-UMC) system. Univariate and multivariate logistic regression analyses were conducted to identify risk factors associated with ADRs and MRCI. Results: Our findings demonstrate that the MRCI significantly increased from 4.09 ± 4.04 pre-admission to 6.09 ± 6.05 at discharge ( Conclusion: In China, the MRCI of HIV/AIDS patients significantly increased after hospitalization. Further analysis indicates that patients with higher MRCI are more likely to experience ADRs.

Indexed as

adverse drug reactionsaidsHIVMrcireal-world

Identifiers

PMID41601973
PMCPMC12833075

What Socratic holds

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LicenceCC BY
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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 Socratic graph.