Evidence map›Paper›PMID 29512045›Full record

SynthesisTechniques in coloproctology2018

What to consider when designing a laparoscopic colorectal training curriculum: a review of the literature.

A Gaitanidis, C Simopoulos, M Pitiakoudis

Registry-linked trialAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Techniques in coloproctology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06864702 (The Construction and Effect Verification of a Deep Learning-based Automated Semantic Segmentation Model for Medical Imaging), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT06864702 naenrolling by invitationnot on this mapstarted 2023, after this paper: background citation

The Construction and Effect Verification of a Deep Learning-based Automated Semantic Segmentation Model for Medical Imaging: A Retrospective Case Analysis Clinical Study

TypeinterventionalSponsorZhujiang HospitalRan2023 to 2025Enrolled220ConditionsArtificial Intelligence (AI), Deep Learning, Laparoscopic SurgeryArmsWhether the patient received diagnosis and treatment at Zhujiang Hospital of Southern Medical University and retained medical images such as abdominal
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  7. Review
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  12. Quantifying Difficulty in Endoscopic Endonasal Surgery-A Modified Delphi Method Approach.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
    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

3 authors.

A GaitanidisSecond Department of Surgery, University General Hospital of Alexandroupoli, Democritus University of Thrace Medical School, 68100, Alexandroupoli, Greece. agaitanidis@gmail.com.
C SimopoulosSecond Department of Surgery, University General Hospital of Alexandroupoli, Democritus University of Thrace Medical School, 68100, Alexandroupoli, Greece.
M PitiakoudisSecond Department of Surgery, University General Hospital of Alexandroupoli, Democritus University of Thrace Medical School, 68100, Alexandroupoli, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple studies have demonstrated the benefits of laparoscopic colorectal surgery (LCS), but in several countries it has still not been widely adopted. LCS training is associated with several challenges, such as patient safety concerns and a steep learning curve. Current evidence may facilitate designing of efficient training curricula to overcome these challenges. Basic training with virtual reality simulators has witnessed meteoric advances and may be essential during the early parts of the learning curve. Cadaveric and animal model training still constitutes an indispensable training tool, due to a higher degree of difficulty and greater resemblance to real operative conditions. In addition, recent evidence favors the use of novel training paradigms, such as proficiency-based training, case selection and modular training. This review summarizes the recent advances in LCS training and provides the evidence for designing an efficient training curriculum to overcome the challenges of LCS training.

Indexed as

CurriculumSimulation TrainingVirtual RealityCadaverColorectal SurgeryEducational MeasurementHumansInternship and ResidencyLaparoscopyLearning CurveModels, AnimalPatient SafetyRobotic Surgical ProceduresTransanal Endoscopic SurgeryColon surgeryLaparoscopic surgeryPerformance assessmentRectal surgerySurgical trainingSystematic review

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.