Evidence map›Paper›PMID 34930054›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Trend Analysis of the Profiles of 12 Sexually Transmitted Disease Pathogens in the Republic of Korea in 2019.

Hye-Jee Park, Yun-Tae Kim, Ju Young Moon, Choong Eun Jin, Ki-Han Ko, Seung-Hyun Lee, Okgi Min, Young Soo Je, Mikyeong Lee, Sanghoo Lee and 2 more

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. 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
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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

12 authors.

Hye-Jee ParkR & D Innovation Center, Seoul Clinical Laboratories, Yongin, Republic of Korea.
Yun-Tae KimR & D Innovation Center, Seoul Clinical Laboratories, Yongin, Republic of Korea.ORCID 0000-0001-9839-8288
Ju Young MoonR & D Innovation Center, Seoul Clinical Laboratories, Yongin, Republic of Korea.
Choong Eun JinR & D Innovation Center, Seoul Clinical Laboratories, Yongin, Republic of Korea.
Ki-Han KoR & D Innovation Center, Seoul Clinical Laboratories, Yongin, Republic of Korea.
Seung-Hyun LeeR & D Innovation Center, Seoul Clinical Laboratories, Yongin, Republic of Korea.
Okgi MinMolecular Diagnosis, Seoul Clinical Laboratories, Yongin, Republic of Korea.
Young Soo JeDepartment of Laboratory Medicine, Center for Companion Biomarker, SCL Healthcare Inc, Yongin, Republic of Korea.ORCID 0000-0002-0291-2092
Mikyeong LeeDepartment of Laboratory Medicine, Center for Companion Biomarker, SCL Healthcare Inc, Yongin, Republic of Korea.
Sanghoo LeeCenter for Companion Biomarker, SCL Healthcare Inc, Yongin, Republic of Korea.
Young-Jin KimR & D Innovation Center, Seoul Clinical Laboratories, Yongin, Republic of Korea.
Kyoung-Ryul LeeR & D Innovation Center, Seoul Clinical Laboratories, Yongin, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSexually transmitted diseases (STDs) are common infectious diseases in humans transmitted through unprotected sexual activities. In South Korea, despite the high annual incidence of STDs, detailed examinations of pathogen-specific factors and causes for delays in diagnosis and treatment are still lacking. Furthermore, STD prevalence patterns and important pathogen-specific factors remain unclear. Herein, we retrospectively analyzed the epidemiology of STDs in South Korea in 2019 by analyzing the association of pathogen-specific infection patterns with factors such as sex, age, region, and month.

methodsWe obtained the STD test results of 172,973 individuals from the Seoul Clinic Laboratory in 2019, most of whom had multiple infections; hence, 275,296 STD-positive cases were included in this analysis. Through deoxyribonucleic acid (DNA) amplification, they were categorized by pathogen type. Subsequently, they were further classified by month, region, and age while concurrently being stratified according to sex.

resultsAmong the 12 pathogens detected in this study,

conclusionThese pathogen-specific prevalence patterns provide information that helps to understand population vulnerability according to region and age and helps develop STD prevention and treatment strategies in South Korea.

Indexed as

Sexually Transmitted DiseasesAgedHumansIncidencePrevalenceRepublic of KoreaRetrospective StudiesageregionsexSouth KoreaSTD

Identifiers

PMID34930054
PMCPMC8721680

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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.