Evidence map›Paper›PMID 38050917›Full record

ArticleJournal of Korean medical science2023

Nationwide Trends in Non-COVID-19 Infectious Disease Laboratory Tests in the Era of the COVID-19 Pandemic in Korea.

Sun Bean Kim, Young-Eun Kim, Taemo Bang, Minwoo Hong, Munkhzul Radnaabaatar, Kyungmin Huh, Ki Ho Hong, Jaehun Jung

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Sun Bean Kim *Department of Internal Medicine, Division of Infectious Diseases, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8830-1144
Young-Eun Kim *Department of Big Data Strategy, National Health Insurance Service, Wonju, Korea.ORCID https://orcid.org/0000-0003-0694-6844
Taemo BangAI Product Team, Gmarket, Seoul, Korea.ORCID https://orcid.org/0000-0002-0497-9936
Minwoo HongDepartment of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0003-2099-3495
Munkhzul RadnaabaatarArtificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0003-4968-5031
Kyungmin HuhDivision of Infectious Diseases, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5140-3964
Ki Ho HongDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea. kihohong@yuhs.ac.ORCID https://orcid.org/0000-0002-5700-9036
Jaehun JungDepartment of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea.ORCID https://orcid.org/0000-0002-4856-3668

Funding

Ministry of Food and Drug Safety 22183MFDS431Ministry of Health and Welfare HG22C0094National Research Foundation of Korea NRF-2021R1A5A2030333
6 · The paper itself

Abstract

The coronavirus disease 2019 pandemic has brought significant changes to infectious disease management globally. This study explored changes in clinical microbiological testing trends and their implications for infectious disease incidence and medical utilization during the pandemic. We collected nationwide claims for monthly clinical microbiology tests from January 2018 to March 2022 using the National Health Insurance Service database. Seasonal autoregressive integrated moving average models were employed to make predictions for each disease based on the baseline period (January 2018 to January 2020). The results showed a significant decrease in general bacterial and fungal cultures, respiratory infectious disease-related, and inflammatory markers, while the representatives of tests for vector-borne diseases, healthcare-associated infections, and chronic viral infections remained stable. The study highlights the potential of clinical microbiological testing trends as an additional surveillance tool and offers implications for future infectious disease management and surveillance strategies in pandemic settings.

Indexed as

COVID-19COVID-19 TestingHumansPandemicsRepublic of KoreaSARS-CoV-2Clinical Laboratory TestingEpidemiological MonitoringPandemics

Identifiers

PMID38050917
PMCPMC10695754

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.