Evidence map›Paper›PMID 37016006›Full record

ArticleScientific reports2023

Effect of characteristics on the clinical course at the initiation of treatment for human immunodeficiency virus infection using dimensionality reduction.

Yunsu Choi, Bo Youl Choi, Sang Il Kim, Jungsoon Choi, Jieun Kim, Bo Young Park, Soo Min Kim, Shin-Woo Kim, Jun Yong Choi, Joon Young Song and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
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

17 authors at 6 institutions in 2 countries.

Yunsu ChoiDepartment of Preventive Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea.
Bo Youl ChoiDepartment of Preventive Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea. bychoi@hanyang.ac.kr.ORCID 0000-0003-0115-5736
Sang Il KimDivision of Infectious Disease, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Jungsoon ChoiDepartment of Mathematics, Hanyang University, Seoul, Republic of Korea.
Jieun KimDepartment of Internal Medicine, College of Medicine, Hanyang University Guri Hospital, Guri, Republic of Korea.
Bo Young ParkDepartment of Preventive Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea.
Soo Min KimInstitute for Health and Society, College of Medicine, Hanyang University, Seoul, Republic of Korea.
Shin-Woo KimDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Jun Yong ChoiDepartment of Internal Medicine, Yonsei University College of Medicine AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Joon Young SongDepartment of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Youn Jeong KimDivision of Infectious Disease, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Hyo Youl KimDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
Jin-Soo LeeDivision of Infectious Diseases, Department of Internal Medicine, Inha University School of Medicine, Incheon, Republic of Korea.
Jung Ho KimDepartment of Internal Medicine, Yonsei University College of Medicine AIDS Research Institute, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yoon Hee JunDivision of Infectious Disease, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Myungsun LeeDivision of Clinical Research, Center for Emerging Virus Research, National Institute of Infectious Disease, Korea National Institute of Health (KNIH), Cheongwon-gun, Republic of Korea.
Jaehyun SeongDivision of Clinical Research, Center for Emerging Virus Research, National Institute of Infectious Disease, Korea National Institute of Health (KNIH), Cheongwon-gun, Republic of Korea.
Yonsei University · KRHanyang University · KRKorea National Institute of Health · KRSt. Mary's Hospital · USInha University · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The beginning of human immunodeficiency virus (HIV) infection treatment depends on various factors, which are significantly correlated with the initial CD4 cell number. However, a covariate correlation between these factors may not reflect the correct outcome variable. Thus, we evaluated the effects of a combination of fixed factors (reduced dimensions), which determine when to start treatment for the first time, on short-term outcome, long-term outcome, and survival, considering correlations between factors. Multiple correspondence analysis was performed on variables obtained from 925 patients who participated in a Korean HIV/acquired immunodeficiency syndrome cohort study (2006-2017). Five reduced dimension groups were derived according to clinical data, viral load, CD4 cell count at diagnosis, initial antiretroviral therapy, and others. The dimension group with high initial viral loads (55,000 copies/mL) and low CD4 cell counts (< 200 cells/mm

Indexed as

Acquired Immunodeficiency SyndromeAnti-HIV AgentsHIV InfectionsAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountCohort StudiesDisease ProgressionHumansViral LoadAnti-HIV Agents

Identifiers

PMID37016006
PMCPMC10073208
OpenAlexW4362597001

What OpenQuestion 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 OpenQuestion graph.