Evidence map›Paper›PMID 38712399›Full record

ArticleGut and liver2024

Predictors of Choledocholithiasis in Cholecystectomy Patients and Their Cutoff Values and Prediction Model in Korea in Comparison with the 2019 ASGE Guidelines.

Jung Hun Woo, Hwanhyi Cho, Kihyun Ryu, Young Woo Choi, Sanghyuk Lee, Tae Hee Lee, Dae Sung Kim, In Seok Choi, Ju Ik Moon, Seung Jae Lee

Abstract readComparative Study
In one paragraph

Article in Gut and liver, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

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

  1. Pooled it
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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

10 authors.

Jung Hun WooDepartment of Gastroenterology, Konyang University Myunggok Medical Research Institute, Daejeon, Korea.ORCID 0000-0003-3786-8156
Hwanhyi ChoDepartment of Gastroenterology, Konyang University Myunggok Medical Research Institute, Daejeon, Korea.ORCID 0009-0002-4561-9758
Kihyun RyuDepartment of Gastroenterology, Konyang University Myunggok Medical Research Institute, Daejeon, Korea.ORCID 0000-0003-0595-6776
Young Woo ChoiDepartment of Gastroenterology, Konyang University Myunggok Medical Research Institute, Daejeon, Korea.ORCID 0009-0006-2093-3950
Sanghyuk LeeDepartment of Gastroenterology, Konyang University Myunggok Medical Research Institute, Daejeon, Korea.ORCID 0000-0003-2190-7069
Tae Hee LeeDepartment of Gastroenterology, Konyang University Myunggok Medical Research Institute, Daejeon, Korea.ORCID 0000-0002-8155-7577
Dae Sung KimDepartment of Gastroenterology, Konyang University Myunggok Medical Research Institute, Daejeon, Korea.ORCID 0000-0002-4881-7883
In Seok ChoiDepartment of General Surgery, Konyang University Myunggok Medical Research Institute, Daejeon, Korea.ORCID 0000-0002-9656-3697
Ju Ik MoonDepartment of General Surgery, Konyang University Myunggok Medical Research Institute, Daejeon, Korea.ORCID 0000-0002-8120-5854
Seung Jae LeeDepartment of General Surgery, Konyang University Myunggok Medical Research Institute, Daejeon, Korea.ORCID 0000-0002-3302-6624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aims: : In 2019, the American Society for Gastrointestinal Endoscopy (ASGE) established clinical predictors for choledocholithiasis. Our study was designed to evaluate these predictors within the Korean clinical context, establish cutoff values, and develop a predictive model. Methods: : This retrospective study analyzed patients who underwent laparoscopic cholecystectomy. The relationships between choledocholithiasis and predictors including age, blood tests, and imaging findings were assessed through univariate and multivariate logistic regression analyses. We established Korean cutoff values for these predictors and developed a scoring system for choledocholithiasis using a multivariate logistic regression. The performance of this scoring system was then compared with that of the 2019 ASGE guidelines through a receiver operating characteristic curve. Results: : We established Korean cutoff values for age (>70 years), alanine aminotransferase (>26.5 U/L), aspartate aminotransferase (>28.5 U/L), gamma-glutamyl transferase (GGT; >82.5 U/L), alkaline phosphatase (ALP; >77.5 U/L), and total bilirubin (>0.95 mg/dL). In the multivariate analysis, only age >70 years, GGT >77.5 U/L, ALP >77.5 U/L, and common bile duct dilatation remained significant. We then developed a new Korean risk stratification model from the multivariate analysis, with an area under the curve of 0.777 (95% confidence interval, 0.75 to 0.81). Our model was stratified into the low-risk, intermediate-risk, and high-risk groups with the scores being <1.0, 1.0-5.5, and >5.5, respectively. Conclusions: : Predictors of choledocholithiasis in cholecystectomy patients and their cutoff values in Korean should be adjusted and further studies are needed to develop appropriate guidelines.

Indexed as

Cholecystectomy, LaparoscopicCholedocholithiasisPractice Guidelines as TopicAdultAgedAge FactorsAlanine TransaminaseAlkaline PhosphataseAspartate AminotransferasesBilirubinFemalegamma-GlutamyltransferaseHumansLogistic ModelsMaleMiddle AgedAlanine TransaminaseAlkaline PhosphataseAspartate AminotransferasesBilirubingamma-GlutamyltransferaseCholecystectomyCholedocholithiasisPreoperative period

Identifiers

PMID38712399
PMCPMC11565007

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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.