Evidence map›Paper›PMID 32056401›Full record

ArticleJournal of Korean medical science2020

Estimation of the Number of HIV Infections and Time to Diagnosis in the Korea.

Eunyoung Lee, Jungmee Kim, Jin Yong Lee, Ji Hwan Bang

Abstract read
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Article in Journal of Korean medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

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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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Epidemiological Analysis of HIV/AIDS in Kazakhstan During 2018-2020.Journal of research in health sciences · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Eunyoung Lee *Graduate School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, Korea.ORCID https://orcid.org/0000-0001-8280-3605
Jungmee Kim *Department of Preventive Medicine, College of Medicine, Seoul National University, Seoul, Korea.ORCID https://orcid.org/0000-0002-1955-843X
Jin Yong LeeDepartment of Public Health and Community Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-7752-2697
Ji Hwan BangDivision of Infectious Diseases, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea. roundbirch@gmail.com.ORCID https://orcid.org/0000-0002-7628-1182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStatistical data of undiagnosed people living with human immunodeficiency virus (PLHIV) are of great importance to human immunodeficiency virus (HIV) infection control. This study estimated the total number of PLHIV using nationwide claims data.

methodsThis study used data of the incident HIV cases identified by the National Health Insurance System between 2009 and 2015. The number of patients with acquired immune deficiency syndrome (AIDS) was identified by diagnoses or prescription records. The estimated number of PLHIV and the time to diagnosis were calculated from the incident numbers of HIV and AIDS cases using the HIV Modeling Tool of the European Center for Disease Prevention and Control.

resultsBetween 2009 and 2015, a total of 7,033 PLHIV and 2,899 AIDS patients were diagnosed. In 2009, the number of incident HIV cases was 873 (460 AIDS patients), increasing to 995 (337 AIDS patients) in 2015. Besides, the estimated number of prevalent cases was 10,753 in 2009, compared to 14,880 in 2015. Patients visiting health facilities accounted for 42.9% (4,616/10,753) in 2009 and 64.1% (9,544/14,880) in 2015. In 2009, there were 8,363 (77.8%) undiagnosed HIV cases, experiencing a decline to 6,215 (41.8%) in 2015. It took a mean of 6.96 years to diagnose after HIV infection.

conclusionThis study estimates the total burden of HIV infection in Korea for the first time using an internationally recognized HIV modeling tool. Claims data can be used to estimate the number of undiagnosed cases by identifying the total number of PLHIV and AIDS patients visiting health facilities.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsDelayed DiagnosisHumansPrevalenceRepublic of KoreaTime FactorsAIDSHIV InfectionNational Health Insurance System

Identifiers

PMID32056401
PMCPMC7025911

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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.