Evidence map›Paper›PMID 41263419›Full record

ArticlePaediatric anaesthesia2026

Predicting Procedure Time in Pediatric Dental Rehabilitation Under General Anesthesia: The Role of Preoperative Factors and Age-Based Models.

R J Banchs, K Barawi, B A Banchs, E Kratunova

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Article in Paediatric anaesthesia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

R J BanchsDepartment of Anesthesiology, College of Medicine, University of Illinois Chicago, Chicago, Illinois, USA.ORCID 0009-0007-9483-3183
K BarawiDepartment of Oral and Maxillofacial Surgery, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.
B A BanchsDepartment of Integrative Biology, University of Illinois at Urbana Champaign, Urbana, Illinois, USA.
E KratunovaDepartment of Pediatric Dentistry, College of Dentistry, University of Illinois Chicago, Chicago, Illinois, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDental rehabilitation under general anesthesia (GA) is often required for children who are unable to cooperate during standard dental procedures. Accurately estimating the duration of these cases is challenging, particularly when preoperative X-rays are unavailable. Efficient scheduling and optimal operating room (OR) utilization rely on precise time predictions; however, existing predictive models, including EPIC's analytics, frequently overlook patient- and case-specific factors, resulting in suboptimal OR efficiency.

aimsThis study aimed to identify preoperative, patient-specific factors that influence the duration of pediatric dental rehabilitation under GA and to develop an age-based predictive equation to improve procedure time estimation.

methodsA retrospective review was conducted on 255 dental rehabilitation cases performed under general anesthesia (GA) between January 2022 and December 2023. Collected data included patient demographics, treatment details, availability of radiographs, and operating room (OR) time metrics. Statistical analysis was performed to assess the influence of preoperative factors on procedure duration. An age-based fitted equation was developed, and its predictive accuracy compared with that of EPIC's analytics system.

resultsAge was the strongest patient-specific predictor of procedure duration (p < 0.001, R

conclusionsDeveloping an age-specific fitted equation based on site-specific operating room (OR) data improves procedure time prediction for pediatric dental rehabilitation under GA. This model supports more precise scheduling, better resource allocation, and improved patient access to care, providing a valuable framework for efficiency in the OR.

Indexed as

Anesthesia, GeneralDental Care for ChildrenOperative TimeAdolescentAge FactorsChildChild, PreschoolFemaleHumansInfantMaleRetrospective Studies

Identifiers

PMID41263419
PMCPMC12779179

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