Evidence map›Paper›PMID 35732657›Full record

ArticleScientific reports2022

Characteristics of recent HIV infection among individuals newly diagnosed as HIV-positive in South Korea (2008-2015).

Myeongsu Yoo, Jin-Sook Wang, Su-Jin Park, Jeong-Ok Cha, Yoonhee Jung, Yoon-Seok Chung, Myung Guk Han, Byeong-Sun Choi, Sung-Soon Kim, Mee-Kyung Kee

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Myeongsu Yoo *Division of Clinical Research, Center for Emerging Virus Research, Korea National Institute of Health, Korea Disease Control and Prevention Agency, Chungbuk, Republic of Korea.
Jin-Sook Wang *Division of Viral Disease, Bureau of Infectious Disease Diagnosis Control, Korea Disease Control and Prevention Agency, Chungbuk, Republic of Korea.
Su-Jin ParkDivision of Viral Disease, Bureau of Infectious Disease Diagnosis Control, Korea Disease Control and Prevention Agency, Chungbuk, Republic of Korea.
Jeong-Ok ChaDivision of TB and HIV/AIDS Control, Center for Disease Prevention, Korea Centers for Disease Control & Prevention, Chungbuk, Republic of Korea.
Yoonhee JungDivision of TB and HIV/AIDS Control, Center for Disease Prevention, Korea Centers for Disease Control & Prevention, Chungbuk, Republic of Korea.
Yoon-Seok ChungDivision of Viral Disease, Bureau of Infectious Disease Diagnosis Control, Korea Disease Control and Prevention Agency, Chungbuk, Republic of Korea.
Myung Guk HanDivision of Viral Disease, Bureau of Infectious Disease Diagnosis Control, Korea Disease Control and Prevention Agency, Chungbuk, Republic of Korea.
Byeong-Sun ChoiDivision of Viral Disease Research, Center for Infectious Diseases, Korea National Institute of Health, Chungbuk, Republic of Korea.
Sung-Soon KimCenter for Infectious Diseases Research, Korea National Institute of Health, Chungbuk, Republic of Korea.
Mee-Kyung KeeDivision of Viral Disease Research, Center for Infectious Diseases, Korea National Institute of Health, Chungbuk, Republic of Korea. keemeekyung@gmail.com.
Korea Disease Control and Prevention Agency · KRKorea National Institute of Health · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most HIV-positive individuals diagnosed in Korea are infected through sexual contact, with the time of HIV infection therefore often being unknown. The aim of this study was to investigate the characteristics of diagnosed patients near the time of HIV seroconversion to establish useful HIV intervention strategies. Cross-sectional study. Newly diagnosed HIV cases based on the national HIV surveillance system in South Korea, 2008-2015. To distinguish recent from long-standing HIV infection among 5898 nationwide HIV-positive specimens, limiting antigen avidity assays (Sedia HIV-1 LAg-Avidity EIA, cut-off = 1.5) were performed. Data on CD4+ T cell count at HIV diagnosis and death from AIDS within one year after first HIV diagnosis were used to distinguish recent HIV infections. Acute HIV infection is characterized by detectable HIV RNA or HIV p24 antigen levels, along with a negative or indeterminate antibody western blot result, but with the subject subsequently testing positive after a predetermined period. We analyzed the characteristics of recent and acute HIV infections by sex, age, nationality, HIV testing site, region, and reason for HIV testing. Recent and acute HIV infections were described as the proportion of recent and acute HIV infections among newly-diagnosed cases in a given year. Recent and acute HIV infections over the 8-year study period were 20.5% (1210/5898) and 9.5% (562/5898), respectively. Both infections were generally higher in the following groups: males, younger age, Koreans, individuals who were tested due to disease, residents of smaller city or rural area, and individuals diagnosed in recent calendar years. Acute infections were significantly higher among individuals tested in hospitals and due to suspected HIV infection. The recent and acute HIV infection in younger age groups (< 30 years) has been increasing in a given year. There was an increase in the proportion of young individuals with recent HIV infection, and we identified risk groups more at risk of HIV infection recently in Korea. Therefore, our results could prove useful for the development and assessment of national HIV prevention strategies in Korea and provide valuable data for further HIV research.

Indexed as

HIV-1HIV InfectionsHIV SeropositivityAdultCD4 Lymphocyte CountCross-Sectional StudiesHumansMale

Identifiers

PMID35732657
PMCPMC9217788
OpenAlexW4283270999

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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.