Evidence map›Paper›PMID 42237172›Full record

ArticleJournal of Korean medical science2026

Clinical Approaches to

Jung Min Moon, Seong-Eun Kim, Jieun Kim, Young-Seok Cho, Heejung Kim, Tae-Geun Gweon, Kyeong Ok Kim, Kwang Woo Kim, Kyuwon Kim, Min Cheol Kim and 10 more

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2026. 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

20 authors.

Jung Min MoonCenter for Health Promotion and Optimal Aging, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-8994-7465
Seong-Eun KimDepartment of Internal Medicine, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Korea. kimse@ewha.ac.kr.ORCID https://orcid.org/0000-0002-6310-5366
Jieun KimDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea. quidam76@hanyang.ac.kr.ORCID https://orcid.org/0000-0002-6214-3889
Young-Seok ChoDepartment of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-1537-3427
Heejung KimDepartment of Laboratory Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.ORCID https://orcid.org/0000-0002-0190-703X
Tae-Geun GweonDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-0884-7228
Kyeong Ok KimDepartment of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0001-5799-7436
Kwang Woo KimDivision of Gastroenterology, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5379-1016
Kyuwon KimDepartment of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1150-5819
Min Cheol KimDepartment of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0002-2234-8070
Hee-Won MoonDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9509-6073
Soo Kyung ParkDivision of Gastroenterology, Department of Internal Medicine and Inflammatory Bowel Disease Center, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0001-8822-9632
Chang Seok BangDepartment of Internal Medicine, Hallym University College of Medicine, Chuncheon, Korea.ORCID https://orcid.org/0000-0003-4908-5431
Young Joo YangDepartment of Internal Medicine, Hallym University College of Medicine, Chuncheon, Korea.ORCID https://orcid.org/0000-0001-6325-1104
Yuna KimDivision of Gastroenterology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1574-9121
Chang Kyo OhDivision of Gastroenterology, Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-3401-1133
Yoo Jin LeeDepartment of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0003-1799-0146
Jae Gon LeeDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-2930-8159
Ji Young ChangDepartment of Health Promotion Medicine, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7951-456X
Yong Pil ChongDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1672-3185

Funding

Ministry of Health and Welfare HC20C0099Ministry of Health and Welfare HI19C0481
6 · The paper itself

Abstract

background

methodsAn online survey was conducted among physicians treating CDI, including gastroenterologists and infectious disease specialists. The survey covered diagnostic approaches, treatment regimens, and management strategies, including differentiation based on disease severity and recurrence.

resultsA total of 300 physicians responded. The most commonly reported indication for CDI testing was the occurrence of three or more diarrheal episodes within a 24-hour period. The majority of physicians (69.7%) preferred multiple diagnostic tests, favoring simultaneous testing (90.4%) over a stepwise approach. Preferred tests included nucleic acid amplification test (NAAT) (69%), glutamate dehydrogenase+toxin A/B combined assay (56%) and toxin enzyme immunoassay (EIA) (48%). Single-test users preferred toxin EIA (37.4%) and NAAT (29.7%). Treatment was primarily tailored to severity by 84.1% of physicians. For non-severe CDI, oral vancomycin (50.7%) and metronidazole (29%) were the main treatments, with 88% not recommending hospitalization. Severe CDI was treated with oral vancomycin (45.3%) or intravenous metronidazole in combination (44.9%), often for ≥ 14 days. For the first recurrence, 69.3% used oral vancomycin, with 22.6% opting for a tapered/pulsed regimen. Fecal microbiota transplantation use increased from 0.3% initially to 17.6% for multiple recurrences. In CDI with ileus, 64% preferred combination therapy, and 48% used vancomycin enemas. In inflammatory bowel disease patients, 99% underwent CDI testing for worsening diarrhea. Immunomodulators and biologics were continued in 79% and 73% of non-severe cases, respectively, but often paused during severe CDI.

conclusionKorean physicians generally follow the recently developed Korean guideline for CDI practice, but certain gaps and inconsistencies in choices were observed in clinical situations. Further efforts are needed to monitor guideline implementation and to analyze gaps between guideline recommendations and real-world clinical practice to optimize CDI management in Korea.

Indexed as

Clostridium InfectionsAnti-Bacterial AgentsBacterial ToxinsClostridioides difficileDiarrheaEnterotoxinsHumansMetronidazoleNucleic Acid Amplification TechniquesPhysiciansPractice Patterns, Physicians'Republic of KoreaSurveys and QuestionnairesVancomycinAnti-Bacterial AgentsBacterial ToxinsEnterotoxinsMetronidazoleVancomycinCDI DiagnosisCDI TreatmentClostridioides difficile InfectionRecurrent CDI

Identifiers

PMID42237172
PMCPMC13226907

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.