Evidence map›Paper›PMID 39901525›Full record

ArticleJournal of Korean medical science2025

Attributable Costs of

Rangmi Myung, Eugene Lee, Jinyeong Kim, Jieun Kim, Hyunjoo Pai

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Rangmi Myung *National Health Insurance Service, Wonju, Korea.ORCID https://orcid.org/0000-0002-5776-1009
Eugene Lee *Department of Economics, Korea University, Seoul, Korea.ORCID https://orcid.org/0009-0003-3162-6700
Jinyeong KimHanyang University Guri Hospital, Guri, Korea.ORCID https://orcid.org/0000-0002-2360-7038
Jieun KimDivision of Infectious Disease, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea. quidam76@hanyang.ac.kr.ORCID https://orcid.org/0000-0002-6214-3889
Hyunjoo PaiDivision of Infectious Disease, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea. paihj@hanyang.ac.kr.ORCID https://orcid.org/0000-0003-4143-035X

Funding

Korea Centers for Disease Control and Prevention 2020-ER5409-02Pfizer 60340919
6 · The paper itself

Abstract

background

methodsTo assess the attributable costs of CDI in Korea, the expenses related to hospital management of CDI cases were computed. This analysis used data from the National Health Insurance Service-National Sample Cohort spanning a decade (2010-2019). The annual national burden of CDI was determined by combining the attributable cost per CDI case with the number of patients with CDI obtained from the Health Insurance Review and Assessment Service data.

resultsThe attributable costs of CDI were determined based on variations in the length of hospital stay and medical costs between patients with CDI and control patients. The mean length of hospital stay was significantly longer for patients with CDI than that for control patients: 43.06 vs. 14.76 days (a difference of 28.30 days,

conclusionCDI is associated with substantial healthcare costs in Korea. The economic burden of CDI has gradually increased in South Korea.

Indexed as

Clostridium InfectionsHealth Care CostsAdultAgedAged, 80 and overClostridioides difficileCost of IllnessCross InfectionFemaleHospitalizationHumansLength of StayMaleMiddle AgedRepublic of KoreaAttributable CostClostridioides difficile InfectionHospital ManagementNational Data

Identifiers

PMID39901525
PMCPMC11790400

What OpenQuestion holds

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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.