ArticleHNO2022
[Evaluation of a structured e-learning-based approach to CT anatomy of the paranasal sinuses for medical students : A pilot study].
Article in HNO, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Trial
- Article
- Digital hands-on learning in radiology-design and evaluation of a PACS-based concept for medical students.Radiologie (Heidelberg, Germany) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundComputed tomography (CT) anatomy is not an integral part of undergraduate medical training in many countries. Radiology seems to be well suited for new online-based teaching methods.
objectiveThe aim of this study was to evaluate whether e‑learning is appropriate for introducing complex learning contents such as sinus CT anatomy to novices and to assess whether identification of relevant anatomical variants in sinus CT scans by medical students can be improved with a sinus CT checklist. MATERIALS AND
methodsMedical students were asked to assess sinus CT scans for anatomical variants before and after implementation of the CLOSE mnemonic (cribriform plate, lamina papyracea, Onodi cell, sphenoid sinus pneumatization, and [anterior] ethmoidal artery). Sinus CT anatomy and the CLOSE mnemonic were introduced by e‑learning. The rate of correctly identified variants and the results of the individual CLOSE items were recorded. A questionnaire was distributed for subjective evaluation of the usefulness of the checklist and e‑learning.
resultsTen students took part in this pilot study. The rate of correctly identified variants improved significantly, from 33.3 to 61.1%. The analysis of the individual CLOSE items showed a significant improvement for C, S, and E. The subjective evaluation of the CLOSE mnemonic and e‑learning was very positive.
conclusionE‑learning was able to transfer complex learning contents in previously non-trained medical students and was evaluated as an appropriate introduction to the topics. Structured assessment of paranasal sinus CT scans using the CLOSE criteria can significantly improve the recognition of anatomical variants.
Indexed as
Identifiers
What OpenQuestion holds
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.