evidencegaps
Primary study · included by 1 review

Kavasoglu 2025

ProbableThe reviews cited this study without a PMID, DOI or NCT, so it is matched by first author and year. Two different studies by the same author in the same year could be merged here.

Included by

Artificial intelligence for predicting the pubertal growth spurt using cephalometric and hand-wrist radiographs: a systematic review and meta-analysis.
Non-Cochrane · DTA · 2026 · cited as Kavasoglu 2025 · Table 1; reference 27
Outcome this study informsPooled effectEvidenceCertainty
Pooled accuracy
AI models (best model per study) applied to lateral cephalometric and/or hand-wrist radiographs to identify the pubertal growth spurt (three-class pre-spurt, spurt, post-spurt scheme) vs Reference staging by expert assessment (CVM, Fishman SMI, Grave and Brown, DRU or other validated standards)
Accuracy (proportion) 0.83 [0.76, 0.89]21 studiesGRADE not reported

1 including review in total.