Evidence map›Paper›PMID 25796112›Full record

ArticleThe Journal of surgical research2015

Vessel ligation training via an adaptive simulation curriculum.

Yinin Hu, Robyn N Goodrich, Ivy A Le, Kendall D Brooks, Robert G Sawyer, Philip W Smith, Anneke T Schroen, Sara K Rasmussen

Abstract read
In one paragraph

Article in The Journal of surgical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 1 institution in 1 country.

Yinin HuDivision of General Surgery, Department of Surgery, University of Virginia School of Medicine, Charlottesville, Virginia.
Robyn N GoodrichDivision of General Surgery, Department of Surgery, University of Virginia School of Medicine, Charlottesville, Virginia.
Ivy A LeDivision of General Surgery, Department of Surgery, University of Virginia School of Medicine, Charlottesville, Virginia.
Kendall D BrooksDivision of General Surgery, Department of Surgery, University of Virginia School of Medicine, Charlottesville, Virginia.
Robert G SawyerDivision of General Surgery, Department of Surgery, University of Virginia School of Medicine, Charlottesville, Virginia.
Philip W SmithDivision of General Surgery, Department of Surgery, University of Virginia School of Medicine, Charlottesville, Virginia.
Anneke T SchroenDivision of Surgical Oncology, Department of Surgery, University of Virginia School of Medicine, Charlottesville, Virginia.
Sara K RasmussenDivision of Pediatric Surgery, Department of Surgery, University of Virginia School of Medicine, Charlottesville, Virginia. Electronic address: skr3f@virginia.edu.
University of Virginia · US

Funding

Postdoctoral Training Grant for MDs in Surgical Oncology ResearchT32CA163177 · NCI · UNIVERSITY OF VIRGINIA · PI Craig Lee Slingluff, Allan Tsung · 2011 to 2026
$4.6M
NCI NIH HHS T32 CA163177
6 · The paper itself

Abstract

backgroundA cost-effective model for open vessel ligation is currently lacking. We hypothesized that a novel, inexpensive vessel ligation simulator can efficiently impart transferrable surgical skills to novice trainees. MATERIALS AND

methodsVesselBox was designed to simulate vessel ligation using surgical gloves as surrogate vessels. Fourth-year medical students performed ligations using VesselBox and were evaluated by surgical faculty using the Objective Structured Assessments of Technical Skills global rating scale and a task-specific checklist. Subsequently, each student was trained using VesselBox in an adaptive practice session guided by cumulative sum. Posttesting was performed on fresh human cadavers by evaluators blinded to pretest results.

resultsSixteen students completed the study. VesselBox practice sessions averaged 21.8 min per participant (interquartile range 19.5-27.7). Blinded posttests demonstrated increased proficiency, as measured by both Objective Structured Assessments of Technical Skills (3.23 versus 2.29, P < 0.001) and checklist metrics (7.33 versus 4.83, P < 0.001). Median speed improved from 128.2 s to 97.5 s per vessel ligated (P = 0.001). After this adaptive training protocol, practice volume was not associated with posttest performance.

conclusionsVesselBox is a cost-effective, low-fidelity vessel ligation model suitable for graduating medical students and junior residents. Cumulative sum can facilitate an adaptive, individualized curriculum for simulation training.

Indexed as

Computer SimulationCurriculumEducation, Medical, UndergraduateClinical CompetenceCost-Benefit AnalysisFemaleHumansLigationMaleVascular Surgical ProceduresMedicalProficiency metricsSimulationStudentSurgical educationSurgical trainingVascular surgery techniques

Identifiers

PMID25796112
PMCPMC4430407
OpenAlexW2123218442

What OpenQuestion holds

Textmetadata
LicenceTDM
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.