Evidence map›Paper›PMID 40683908›Full record

ArticleScientific reports2025

Recent HIV infections and associated risk factors among newly diagnosed individuals in South Korea (2016-2023).

Jin-Sook Wang, Eun Ji Kim, Gayeong Kim, Seolhui Kim, Heui Man Kim, Yea Jin Lee, Ho Gyeong Hong, Min-Seong Kim, Na Rae Jo, Tae-Young Heo and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Article
  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

14 authors.

Jin-Sook WangKorea Disease Control and Prevention Agency, Division of Viral Diseases, Department of Laboratory Diagnosis and Analysis, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Eun Ji KimKorea Disease Control and Prevention Agency, Division of Viral Diseases, Department of Laboratory Diagnosis and Analysis, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Gayeong KimKorea Disease Control and Prevention Agency, Division of Viral Diseases, Department of Laboratory Diagnosis and Analysis, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Seolhui KimKorea Disease Control and Prevention Agency, Division of Viral Diseases, Department of Laboratory Diagnosis and Analysis, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Heui Man KimKorea Disease Control and Prevention Agency, Division of Viral Diseases, Department of Laboratory Diagnosis and Analysis, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Yea Jin LeeKorea Disease Control and Prevention Agency, Division of Viral Diseases, Department of Laboratory Diagnosis and Analysis, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Ho Gyeong HongKorea Disease Control and Prevention Agency, Division of Viral Diseases, Department of Laboratory Diagnosis and Analysis, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Min-Seong KimKorea Disease Control and Prevention Agency, Division of Viral Diseases, Department of Laboratory Diagnosis and Analysis, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Na Rae JoDepartment of Information Statistics, Chungbuk National University, 1 Chungdae-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-Do, 28644, Republic of Korea.
Tae-Young HeoDepartment of Information Statistics, Chungbuk National University, 1 Chungdae-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-Do, 28644, Republic of Korea.
Koun KimDivision of HIV/AIDS Prevention and Control, Department of Infectious Disease Policy, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Sungnam KimDivision of HIV/AIDS Prevention and Control, Department of Infectious Disease Policy, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Jeonghee YuDivision of HIV/AIDS Prevention and Control, Department of Infectious Disease Policy, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea.
Myung-Guk HanKorea Disease Control and Prevention Agency, Division of Viral Diseases, Department of Laboratory Diagnosis and Analysis, Korea Disease Control and Prevention Agency, Cheongju-si, Chungcheongbuk-do, 28159, Republic of Korea. mghan@korea.kr.

Funding

Korea Disease Control and Prevention Agency 6331-301-210
6 · The paper itself

Abstract

Determining the annual proportion of individuals newly diagnosed with human immunodeficiency virus (HIV) infection acquired within the preceding 130 days is essential to inform targeted prevention strategies. We assessed populations at increased risk of HIV infection and identified those with delayed diagnosis by analyzing the proportion of recent infections among newly diagnosed individuals. HIV-antibody avidity assays were performed to distinguish recent from longstanding infections among newly diagnosed cases during 2016-2023. Logistic regression analysis was used to assess risk factors among demographic and behavioral data, including age, nationality, region, transmission mode, marital status, HIV-testing purpose, and occupation. We investigated 7,545 individuals, representing 85.0% of the 8,875 newly diagnosed HIV-positive cases. The average proportion of recent HIV infections (RHIs) was 26.1%, which was higher among males (26.9%, P = 0.034), individuals aged < 30 years (38.8%, P < 0.001), and Korean nationals (27.3%, P < 0.001). Among testing purposes, blood donation screening yielded the highest proportion of RHIs (45.8%). Male sex, age < 30 years, and Korean nationality were identified as main risk factors for HIV infection. The RHI proportion serves as a key indicator of HIV prevention effectiveness in Korea and can inform development of effective prevention strategies.

Indexed as

HIV InfectionsAdolescentAdultFemaleHumansMaleMiddle AgedRepublic of KoreaRisk FactorsYoung AdultHIVHIV-antibody avidity assaysRecency assayRisk factors

Identifiers

PMID40683908
PMCPMC12276254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.