Primary study · included by 2 reviews

Analysis of copy number variations among diverse cattle breeds.

Ataollahi 2021 · Liu George E, Hou Yali, Zhu Bin, et al. · Genome research · 2010

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 Kim 2021a · Table 1, Table 2; reference 29

Outcome this study informs	Pooled effect	Evidence	Certainty
HSROC summary sensitivity 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)	Sensitivity (HSROC) 0.76 [0.70, 0.82]	20 studies	GRADE not reported
Bivariate pooled sensitivity 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)	Sensitivity (bivariate) 0.86 [0.78, 0.91]	20 studies · 3200 participants	GRADE not reported
HSROC summary specificity 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)	Specificity (HSROC) 0.88 [0.83, 0.91]	20 studies	GRADE not reported
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 studies	GRADE not reported
Bivariate pooled specificity 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)	Specificity (bivariate) 0.93 [0.90, 0.95]	20 studies · 5071 participants	GRADE not reported

Dental caries burden across age groups in Kerman province, Iran (1992-2025): a systematic review and meta-analysis.

Non-Cochrane · prevalence · 2026 · cited as Ataollahi 2021 · Table 7; narrative only, not in pooled estimate; reference 58

The review does not say which of its outcomes this study informs.

2 including reviews in total.