Evidence map›Paper›PMID 32710213›Full record

ReviewSurgical endoscopy2020

Decision analysis of minimally invasive management options for cholecysto-choledocholithiasis.

Alison Bradley, Sharukh Sami, Niroshini Hemadasa, Anne Macleod, Leo R Brown, Jeyakumar Apollos

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Surgical endoscopy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05542784 (Modified Laparoendoscopic Rendezvous for Secondary Choledocholithiasis), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT05542784 unknown statusnot on this mapstarted 2022, after this paper: background citation

Modified Laparoendoscopic Rendezvous for Secondary Choledocholithiasis: a Nonrandomized Controlled Clinical Study

TypeobservationalSponsorShenzhen Second People's HospitalRan2022 to 2025Enrolled90ConditionsCholedocholithiasisArmsModified LERV
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Inpatient Choledocholithiasis Management: a Cost-Effectiveness Analysis of Management Algorithms.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2022
    Article
  6. 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

6 authors.

Alison BradleyDepartment of General Surgery, Dumfries and Galloway Royal Infirmary, Cargenbridge, Dumfries, DG2 8RX, Scotland, UK. bradley_alison@live.co.uk.
Sharukh SamiDepartment of General Surgery, Dumfries and Galloway Royal Infirmary, Cargenbridge, Dumfries, DG2 8RX, Scotland, UK.
Niroshini HemadasaDepartment of General Surgery, Dumfries and Galloway Royal Infirmary, Cargenbridge, Dumfries, DG2 8RX, Scotland, UK.
Anne MacleodDepartment of General Surgery, Dumfries and Galloway Royal Infirmary, Cargenbridge, Dumfries, DG2 8RX, Scotland, UK.
Leo R BrownDepartment of General Surgery, Dumfries and Galloway Royal Infirmary, Cargenbridge, Dumfries, DG2 8RX, Scotland, UK.
Jeyakumar ApollosDepartment of General Surgery, Dumfries and Galloway Royal Infirmary, Cargenbridge, Dumfries, DG2 8RX, Scotland, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe management of cholecysto-choledocholithiasis is controversial with the risks and benefits of one versus two-stage approaches debated. This study aims to perform decision analysis of minimally invasive laparo-endoscopic approaches.

methodsAn advanced decision tree was constructed to compare pre, intra and post-operative ERCP and laparoscopic common bile duct exploration in terms of primary ductal clearance and significant complications for patients intended to undergo laparoscopic cholecystectomy. Transition probabilities were calculated from randomised controlled trials following a comprehensive literature search. Model uncertainties were extensively tested through deterministic and probabilistic Monte Carlo sensitivity analysis. Utility outcomes were 1 and 0.5 for successful primary clearance without and with complications, respectively, and 0 for failure of primary clearance of the duct.

resultsTwenty-one studies (n = 2697) were included in the analysis. At base case analysis, a laparo-endoscopic rendezvous approach had the highest utility output (0.90; no complication probability: 0.87/complication probability 0.06). Laparoscopic common bile duct exploration was ranked second with a utility output 0.87 (no complication probability: 0.82/complication probability 0.10). Pre-operative ERCP utility score was 0.84 (no complication probability: 0.78/ complication probability 0.11) and post-operative ERCP utility score was 0.78 (no complication probability: 0.71/complication probability 0.13). Monte Carlo analysis showed that laparo-endoscopic rendezvous and laparoscopic common bile duct exploration had an equal mean utility output of 0.57 (standard deviation 0.36; variance 0.13; 95% confidence interval 0.00-0.99 versus standard deviation 0.34; variance 0.12; 95% confidence interval 0.01-0.98). Laparo-endoscopic rendezvous had a superior treatment selection frequency of 39.93% followed by laparoscopic bile duct exploration (36.11%), pre-operative ERCP (20.67%) and post-operative ERCP (2.99%).

conclusionOne-stage approach to the management of cholecysto-choledocholithiasis is superior to two-stage, in terms of primary clearance of the duct and risk of operative morbidity. Laparo-endoscopic rendezvous approach could offer marginal additional benefit but more high-quality randomised controlled trials are needed.

Indexed as

Decision Support TechniquesCholecystectomy, LaparoscopicCholedocholithiasisFemaleHumansMaleMinimally Invasive Surgical ProceduresCholecysto-choledocholithiasisERCPGallstones

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.