Evidence map›Paper›PMID 26746436›Full record

Trial reportDiagnostic pathology2016

Cytopathology whole slide images and adaptive tutorials for senior medical students: a randomized crossover trial.

Simone L Van Es, Rakesh K Kumar, Wendy M Pryor, Elizabeth L Salisbury, Gary M Velan

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Diagnostic pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Review
  8. Constant Quest for Quality: Digital Cytopathology.Journal of pathology informatics · 2018
    Article
  9. 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

5 authors.

Simone L Van EsDepartment of Pathology, School of Medical Sciences, The University of New South Wales, Sydney, NSW 2052, Australia. s.vanes@unsw.edu.au.
Rakesh K KumarDepartment of Pathology, School of Medical Sciences, The University of New South Wales, Sydney, NSW 2052, Australia. r.kumar@unsw.edu.au.
Wendy M PryorRoyal College of Pathologists of Australasia, Surry Hills, 2010, Australia. wendyp@rcpa.edu.au.
Elizabeth L SalisburyDepartment of Anatomical Pathology, Prince of Wales Hospital, Randwick, 2031, Australia. elizabeth.salisbury@sesiahs.health.nsw.gov.au.
Gary M VelanDepartment of Pathology, School of Medical Sciences, The University of New South Wales, Sydney, NSW 2052, Australia. g.velan@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnostic cytopathology is an essential part of clinical decision-making. However, due to a combination of factors including curriculum reform and shortage of pathologists to teach introductory cytopathology, this area of pathology receives little or no formal attention in most medical school curricula. We have previously described the successful use of efficient and effective digital learning resources, including whole slide images (WSI) and virtual microscopy adaptive tutorials (VMATs), to teach cytopathology to pathology specialist trainees - a group that had prior exposure to cytopathology in their day to day practice. Consequently, in the current study we attempted to demonstrate the efficiency and efficacy of this eLearning resource in a cohort of senior medical students that was completely naïve to the subject matter (cytopathology).

methodsWe evaluated both the quantitative and qualitative impact of these digital educational materials for learning cytopathology compared with existing resources (e-textbooks and online atlases). The senior medical students were recruited from The University of New South Wales Australia for a randomized cross-over trial. Online assessments, administered after each arm of the trial, contained questions which related directly to a whole slide image. Two categories of questions in the assessments (focusing on either diagnosis or identification of cellular features) were utilized to determine efficacy. User experience and perceptions of efficiency were evaluated using online questionnaires containing Likert scale items and open-ended questions.

resultsFor this cohort of senior medical students, virtual microscopy adaptive tutorials (VMATs) proved to be at least as effective as existing digital resources for learning cytopathology. Importantly, virtual microscopy adaptive tutorials had superior efficacy in facilitating accurate diagnosis on whole slide images. Student perceptions of VMATs were positive, particularly regarding the immediate feedback, interactivity and equity of learning which this learning resource provides.

conclusionsVirtual microscopy adaptive tutorials have the potential to improve the efficacy of learning microscopic pathology for medical students. The enhanced learning experience provided by these eLearning tools merits further investigation of their utility for other cohorts, including specialist trainees.

Indexed as

Computer-Assisted InstructionLearningMicroscopyStudents, MedicalCell BiologyComputer GraphicsCross-Over StudiesCurriculumEducational MeasurementEducational StatusEducation, Medical, UndergraduateHumansNew South WalesPathologyPerceptionSurveys and Questionnaires

Identifiers

PMID26746436
PMCPMC4706725

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.