Evidence map›Paper›PMID 29890959›Full record

ArticleBMC surgery2018

Single-site robotic cholecystectomy: comparison of clinical outcome and the learning curves in relation to surgeon experience in a community teaching hospital.

Mohamad Dughayli, Sergey Shimunov, Sherry Johnson, Fadi Baidoun

Abstract read
In one paragraph

Article in BMC surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

4 authors.

Mohamad DughayliDepartment of General Surgery, Henry Ford Wyandotte Hospital, 2333 Biddle Avenue, Wyandotte, MI, 48192, USA. mdughay1@hfhs.org.ORCID http://orcid.org/0000-0003-3032-0331
Sergey ShimunovDepartment of General Surgery, Henry Ford Wyandotte Hospital, 2333 Biddle Avenue, Wyandotte, MI, 48192, USA.
Sherry JohnsonDepartment of General Surgery, Henry Ford Wyandotte Hospital, 2333 Biddle Avenue, Wyandotte, MI, 48192, USA.
Fadi BaidounDepartment of General Surgery, Henry Ford Wyandotte Hospital, 2333 Biddle Avenue, Wyandotte, MI, 48192, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to analyze the experience of two surgeons who have different laparoscopic skills and case volume, with single-site robotic cholecystectomy (SSRC) and evaluate their learning curves.

methodsAll SSRCs performed between March 2013 and April 2015 were retrospectively reviewed. The patients were divided among two surgeons based on the surgeon's level of laparoscopic skills and case volume. Surgeon 1 had experience in advanced laparoscopy while surgeon 2 had basic laparoscopic skills. Patients' demographic data, intraoperative and short-term postoperative results were assessed.

resultsThe analysis included 102 patients for surgeon 1 and 15 patients for surgeon 2. There were no major or minor complications in either cohort. Operative time was significantly longer for surgeon 2, conversion to laparoscopy rate was 4% for surgeon 1 compared to 20% for surgeon 2, P = 0.044, which is statistically significant.

conclusionsSSRC is an easy and safe procedure that can be quickly learned and performed in a reproducible manner by surgeons with experienced laparoscopic skills and greater case volume.

Indexed as

Learning CurveAdultCholecystectomyFemaleHospitals, TeachingHumansLaparoscopyMaleMiddle AgedOperative TimeRetrospective StudiesRoboticsRobotic Surgical ProceduresSurgeonsYoung AdultCholecystectomyRobotic surgerySingle-site

Identifiers

PMID29890959
PMCPMC5996517

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Registered trials

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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.