Evidence map›Paper›PMID 28840410›Full record

ArticleSurgical endoscopy2018

Characterization of common bile duct injury after laparoscopic cholecystectomy in a high-volume hospital system.

Julia F Kohn, Alexander Trenk, Kristine Kuchta, Brittany Lapin, Woody Denham, John G Linn, Stephen Haggerty, Ray Joehl, Michael B Ujiki

Abstract read
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In one paragraph

Article in Surgical endoscopy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
3.7field-weighted citation impact, top 6% of its field
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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 64 citations in OpenAlex.

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  19. Machine Learning-Based Analysis in the Management of Iatrogenic Bile Duct Injury During Cholecystectomy: a Nationwide Multicenter Study.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2022
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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

9 authors at 1 institution in 1 country.

Julia F KohnUniversity of Illinois at Chicago College of Medicine, Chicago, IL, USA. Kohn3@uic.edu.ORCID 0000-0002-2266-5113
Alexander TrenkDepartment of Surgery, Section of Minimally Invasive Surgery, NorthShore University HealthSystem, Evanston, IL, USA.
Kristine KuchtaDepartment of Surgery, Section of Minimally Invasive Surgery, NorthShore University HealthSystem, Evanston, IL, USA.
Brittany LapinDepartment of Surgery, Section of Minimally Invasive Surgery, NorthShore University HealthSystem, Evanston, IL, USA.
Woody DenhamDepartment of Surgery, Section of Minimally Invasive Surgery, NorthShore University HealthSystem, Evanston, IL, USA.
John G LinnDepartment of Surgery, Section of Minimally Invasive Surgery, NorthShore University HealthSystem, Evanston, IL, USA.
Stephen HaggertyDepartment of Surgery, Section of Minimally Invasive Surgery, NorthShore University HealthSystem, Evanston, IL, USA.
Ray JoehlDepartment of Surgery, Section of Minimally Invasive Surgery, NorthShore University HealthSystem, Evanston, IL, USA.
Michael B UjikiDepartment of Surgery, Section of Minimally Invasive Surgery, NorthShore University HealthSystem, Evanston, IL, USA.
NorthShore University HealthSystem · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the popularity of laparoscopic cholecystectomy, rates of common bile duct injury remain higher than previously observed in open cholecystectomy. This retrospective chart review sought to determine the prevalence of, and risk factors for, biliary injury during laparoscopic cholecystectomy within a high-volume healthcare system.

methods800 of approximately 3000 cases between 2009 and 2015 were randomly selected and retrospectively reviewed. A single reviewer examined all operative notes, thereby including all cases of BDI regardless of ICD code or need for a second procedure. Biliary injuries were classified per Strasberg et al. (J Am Coll Surg 180:101-125, 1995). Logistic regression models were utilized to identify univariable and multivariable predictors of biliary injuries.

results31.0% of charts stated that the Critical View of Safety was obtained, and 12.4% of charts correctly described the critical view in detail. Three patients (0.4%) had a cystic duct leak, and 4 (0.5%) had a common bile duct injury. Of the four CBDI, three patients had a partial transection of the CBD and one had a partial stricture. Patients who suffered BDI were more likely to have had lower hemoglobin, urgent surgery, choledocholithiasis, or acutely inflamed gallbladder. Multivariable analysis of BDI risk factors showed higher preoperative hemoglobin to be independently protective against CBDI. Acutely inflamed gallbladder and choledocholithiasis were independently predictive of CBDI.

conclusionsThe rate of CBDI in this study was 0.5%. Acutely inflamed conditions were risk factors for biliary injury. Multivariable analysis suggests a protective effect of higher preoperative hemoglobin. There was no correlation of CVS with prevention of biliary injury, although only 12.4% of charts could be verified as following the technique correctly. Better implementation of CVS, and increased caution in patients with perioperative inflammatory signs, may be important for preventing bile duct injury. Additionally, counseling patients with acute inflammation on increased risk is important.

Indexed as

Cholecystectomy, LaparoscopicCholedocholithiasisCommon Bile DuctFemaleHospitals, High-VolumeHumansMaleRetrospective StudiesCommon bile duct injuryComplicationsCritical View of SafetyLaparoscopic cholecystectomy

Identifiers

PMID28840410
OpenAlexW2745458976

What OpenQuestion holds

Textmetadata
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.