Evidence map›Paper›PMID 35482103›Full record

ArticleSurgical and radiologic anatomy : SRA2022

Modern and synchronized clinical anatomy teaching based on the BDIE method (board-digital dissection-imaging-evaluation).

Damien Massalou, Nicolas Bronsard, Laurent Hekayem, Patrick Baqué, Olivier Camuzard

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Article in Surgical and radiologic anatomy : SRA, 2022. 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
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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

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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.

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4 · The record

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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

5 authors.

Damien MassalouDepartment of Anatomy, School of Medicine, Université Nice Sophia Antipolis/Université Côte d'Azur, 28 Avenue de Valombrose, 06100, Nice, France. damienmassalou@gmail.com.ORCID http://orcid.org/0000-0002-2015-1661
Nicolas BronsardDepartment of Anatomy, School of Medicine, Université Nice Sophia Antipolis/Université Côte d'Azur, 28 Avenue de Valombrose, 06100, Nice, France.
Laurent HekayemDepartment of Anatomy, School of Medicine, Université Nice Sophia Antipolis/Université Côte d'Azur, 28 Avenue de Valombrose, 06100, Nice, France.
Patrick BaquéDepartment of Anatomy, School of Medicine, Université Nice Sophia Antipolis/Université Côte d'Azur, 28 Avenue de Valombrose, 06100, Nice, France.
Olivier CamuzardDepartment of Anatomy, School of Medicine, Université Nice Sophia Antipolis/Université Côte d'Azur, 28 Avenue de Valombrose, 06100, Nice, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAnatomy has historically been taught via traditional medical school lectures and dissection. In many countries, practical or legal issues limit access to cadaveric dissection. New technologies are favored by students and could improve learning, complementing traditional teaching.

methodsAll students in second-year medicine at a single medical school were submitted to a novel anatomical course with digital tool exposure. We explored a new combined teaching method: a physical blackboard lesson synchronized with digital dissection, imaging and direct evaluation (BDIE). Synchronized dissection is broadcast live in the classroom and in partner medical schools. Following the course, students completed a short survey about their perception of this new anatomic clinical course.

resultsThe survey included 183 students whom 178 completed the questionnaire, i.e., a 97% response rate. Ninety-nine percent of students thought this synchronized method useful to improve their understanding of anatomy and 90% stated it helped them retain this learning.

conclusionThis BDIE method, in conjunction with teaching guidelines and dissection, is highly appreciated by students who consider it helps them to acquire lasting knowledge.

Indexed as

AnatomyEducation, Medical, UndergraduateStudents, MedicalCadaverCurriculumDissectionEducational MeasurementHumansSchools, MedicalTeachingAnatomy teachingDigital dissectionDissectionGross anatomyProsectionRadiology

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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.