Evidence map›Paper›PMID 42498951›Full record

Trial reportBMC medical education2026

Utilising a web-based e-learning platform for orthodontic case analysis training: a randomised controlled trial.

Norbert Alexander Lang, Laura Bell, Lorena Backes, Franziska Alina Lang, Michael Wolf, Katharina Mücke, Teresa Kruse, Kathrin Becker, Isabel Knaup, Martin Lemos

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Norbert Alexander LangDepartment of Orthodontics and Dentofacial Orthopedics, Medical Faculty, RWTH Aachen University, Pauwelsstr. 30, Aachen, 52074, Germany. nlang@ukaachen.de.
Laura BellAudiovisual Media Center, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Lorena BackesDepartment of Orthodontics and Dentofacial Orthopedics, Medical Faculty, RWTH Aachen University, Pauwelsstr. 30, Aachen, 52074, Germany.
Franziska Alina LangDepartment of Orthodontics and Dentofacial Orthopedics, Medical Faculty, RWTH Aachen University, Pauwelsstr. 30, Aachen, 52074, Germany.
Michael WolfDepartment of Orthodontics and Dentofacial Orthopedics, Medical Faculty, RWTH Aachen University, Pauwelsstr. 30, Aachen, 52074, Germany.
Katharina MückeDepartment of Orthodontics and Dentofacial Orthopedics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.
Teresa KruseDepartment of Orthodontics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Kathrin BeckerDepartment of Orthodontics and Dentofacial Orthopedics, Medical Faculty, Charité, Berlin, Germany.
Isabel Knaup *Department of Orthodontics and Dentofacial Orthopedics, Medical Faculty, RWTH Aachen University, Pauwelsstr. 30, Aachen, 52074, Germany.
Martin Lemos *Audiovisual Media Center, Medical Faculty, RWTH Aachen University, Aachen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn orthodontic case analysis, structured clinical reasoning is required to achieve a diagnosis and establish a treatment decision. In this randomised controlled trial, a web-based training app was compared with conventional analogue case planning in undergraduate dental students.

methodsTwenty-eight undergraduate dental students from RWTH Aachen University were randomised to either a digital training group, using the web-based app Orthotrainer, or an analogue training group, performing conventional case analyses with physical models and printed diagnostic records. After a baseline knowledge and online readiness assessment, both groups completed two standardised training sessions. Following the sessions, the ease of use was assessed using the System Usability Scale and the User Experience Questionnaire. The final analogue module exam tested knowledge transfer. Additionally, 27 orthodontic educators from four university orthodontic departments were surveyed regarding analogue correction practices.

resultsBaseline orthodontic knowledge was comparable between groups (analogue: M = 13.07 ± 3.15 vs digital: M = 12.86 ± 2.41, p = 0.842). Both groups demonstrated significant performance improvement across training sessions separated by three weeks, ß = 8.31, 95% CI [2.66, 13.96], p = 0.005, without overall group differences. Exploratory subarea analyses revealed analogue superiority in extraoral assessment (b = 23.37, 95% CI [7.31, 39.42], p < 0.001), digital advantage in radiographic evaluation (b = -17.34, 95% CI [-33.40, -1.29], p = 0.002) and no difference in the model analysis. There were no differences between the groups in the final module exam. The usability assessment yielded a mean SUS score of M = 78.89 ± 14.11 for digital training (compared to the analogue training, M = 40.30 ± 11.19, p < 0.001), while students rated the UEQ for the digital version higher in the dimensions of pragmatic, hedonic quality and overall quality (all p < 0.001). Among 27 surveyed educators, analogue correction was rated time-intensive, with preference for digitalisation.

conclusionsThe Orthotrainer web application delivered diagnostic performance equivalent to that of conventional analogue training, proving particularly effective in radiographic analysis. Higher usability and user experience ratings support its integration into routine teaching. These findings suggest that structured digital tools can support the development of diagnostic reasoning and serve as a valuable addition to traditional orthodontic education.

Indexed as

Computer-Assisted InstructionEducation, DentalInternetOrthodonticsClinical CompetenceDigital MediaEducational MeasurementHumansDiagnostic analysisDiagnostic reasoningDigital dental educationE-learningTeaching innovationTechnology-enhanced learning

Identifiers

PMID42498951
PMCPMC13397713

What Socratic 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 Socratic graph.