SynthesisInternational journal of legal medicine2025
Computed tomography assessment of neurocranial structures for sexual dimorphism identification: a meta-analysis.
Synthesis in International journal of legal medicine, 2025. 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
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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.
- Deep learning-based sex estimation from multi-planar cranial CT images in a Thai population.Anatomical science international · 2026Article
- Determinants of sphenoid sinus ostium localization: implications for safer endoscopic sinus surgery.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Article
- Machine learning in sex estimation using CBCT morphometric measurements of canines.Clinical oral investigations · 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.
Funding
Abstract
The human neurocranium exhibits significant sexual dimorphism, making it a valuable resource for anthropological studies. This systematic review aggregated and analyzed data from literature on sex differences in neurocranial dimensions as measured by computed tomography (CT). Following registration of the review protocol with PROSPERO (#CRD 42023442451), comprehensive searches were conducted in six databases and gray literature. From an initial pool of 1,499 articles, 14 met the inclusion criteria and were analyzed for data extraction, meta-analysis of linear measurements, risk of bias (RoB), and certainty of evidence (GRADE) evaluation. In the meta-analysis (Sample size- 1726 female and 1837 male), the inverse variance method and a random-effects model were employed using Review Manager (version 5.4.1). Statistical heterogeneity was quantified using the I
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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.