ArticleBMC medical education2024
Effectiveness of a standardized scenario in teaching the management of pediatric diabetic ketoacidosis (DKA) to residents: a simulation cross-sectional study.
Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 3 citations in OpenAlex.
- Bridging the gap in adrenal crisis management: a pilot simulation-based pre post educational intervention to improve resident knowledge.BMC medical education · 2026Article
- High-fidelity simulation-based validation of applicability of the new Italian society for pediatric endocrinology and diabetes (ISPED) recommendations for pediatric diabetic ketoacidosis management.Acta diabetologica · 2026Article
- Cognitive Overload by Algorithm: Simulation Showed AI Is Not Ready to Lead Diabetic Ketoacidosis.Diabetes/metabolism research and reviews · 2026Article
- Pediatric Endocrinology Education Among Trainees: A Scoping Review.The clinical teacher · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetic ketoacidosis (DKA) is a frequent manifestation at the onset of type 1 diabetes mellitus in children, possibly associated with a wide range of complications, often as a consequence of wrong or delayed treatment. Due to its complex and risky management, direct exposure to real situations alone is not sufficient to achieve adequate skills in pediatric DKA for residents. Simulation could be a valuable aid, allowing to practice a standardized scenario of a complex real-world situation. We aimed to test the effectiveness of a standardized scenario of pediatric DKA in teaching its recognition and treatment.
methodsWe develop a standardized scenario able to guide step-by-step the learners through the flowchart of DKA management and considering alternative evolutions in the case of possible deviations from guidelines. It was a real-life simulation with the use of a high-fidelity pediatric simulator. It was played by 78 pediatrics 20 and emergency medicine residents. At the end of the simulation, a validated questionnaire was administered to collect feedback from participants regarding the impact of the simulation on learning. All materials to reproduce the DKA scenario are provided.
resultsOverall, the scenario was rated as realistic (mean score 4.37 ± 0.68, from 1 to 5) and relevant to professional training (4.72 ± 0.47), useful in increasing confidence in interpreting laboratory tests (3.97 ± 0.65), group organization and communication strategies (3.49 ± 0.94), and managing the treatment of DKA (3.46 ± 0.92).
conclusionsThe use of a standardized scenario of pediatric DKA may be a valid tool to reinforce theoretical knowledge in residents, both in pediatrics and in emergency medicine, and to directly and safely practice pediatric DKA management.
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.