Evidence map›Paper›PMID 41334416›Full record

ArticleJugan geon-gang gwa jilbyeong2024

[Genetic Diversity and Drug Resistance of Human Immunodeficiency Virus from Newly Diagnosed Human Immunodeficiency Virus-positive in Korean, 2022-2023].

Gayeong Kim, Jin-Sook Wang, Heui Man Kim, Seolhui Kim, Eun Ji Kim, Myung-Guk Han

Abstract readEnglish Abstract
In one paragraph

Article in Jugan geon-gang gwa jilbyeong, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. HIV Treatment Paradigm Shifts over the Past 40 Years.Jugan geon-gang gwa jilbyeong · 2025
    Review
  3. 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

6 authors.

Gayeong Kim질병관리청 진단분석국 바이러스분석과.ORCID https://orcid.org/0009-0000-4475-9527
Jin-Sook Wang질병관리청 진단분석국 바이러스분석과.ORCID https://orcid.org/0009-0000-4475-9527
Heui Man Kim질병관리청 진단분석국 바이러스분석과.ORCID https://orcid.org/0009-0000-4475-9527
Seolhui Kim질병관리청 진단분석국 바이러스분석과.ORCID https://orcid.org/0009-0000-4475-9527
Eun Ji Kim질병관리청 진단분석국 바이러스분석과.ORCID https://orcid.org/0009-0000-4475-9527
Myung-Guk Han질병관리청 진단분석국 바이러스분석과.ORCID https://orcid.org/0009-0000-4475-9527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human immunodeficiency virus (HIV) infection can cause acquired immunodeficiency syndrome (AIDS). The high HIV mutation rate is a major hurdle in vaccine and drug development. In this study, we analyzed the distribution of HIV genotypes and drug resistance mutations in a Korean patient newly infected with HIV between 2022 and 2023. The Korean clade HIV genotype B type (KR-B) was the most predominant HIV genotype, accounting for 70.7% in 2018-2019. However, recent analysis results have confirmed that the distribution of genotypes other than KR-B will increase to 39.2% and 40.5% from 2022 and 2023, respectively. In particular the diversity of genotypes is expected to gradually increase as many recombinants which were not detected in 2018-2019 such as CRF_01B, CRF_0263, and CRF_01BC. In addition, the drug resistance rate in treatment-naive infected individuals is predicted to be 5.2% in 2022 and 6.7% in 2023. HIV drug resistance among the different classes of antiretroviral drugs was not significantly different. Therefore, the proportion of resistance mutations in the main drug classes will remain largely unchanged from 2022 to 2023. In conclusion, it is crucial to periodically analyze the current status of domestic and epidemiological correlations. Also we have to continuously improve process because of the increasing genetic diversity. A surveillance system must be established through periodic monitoring to analyze drug resistance rates that reflect the latest trends.

Indexed as

Drug resistanceEpidemiologyGenotypeHIV

Identifiers

PMID41334416
PMCPMC12480367

What OpenQuestion holds

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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.