ReviewJournal of clinical medicine2025
An Interdisciplinary Review of the Zygomaticus Muscles: Anatomical Variability, Imaging Modalities, and Clinical Implications.
Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- The Anatomy of Facial Muscles Revisited: High-Resolution Magnetic Resonance Imaging and Computed Tomography Studies on Body Donors.Journal of imaging · 2026Article
- Bone-Anchored CT Angiography Framework for In Vivo Assessment of Zygomaticus Major Morphology.Biomedicines · 2026Article
- A structural analysis of the facial muscle modiolus: using a three-dimensional reconstruction system.Anatomical science international · 2026Article
- Genetic and Molecular Characterization of Treacher Collins Syndrome in Three Mexican Families.International journal of molecular sciences · 2026Article
- Morphological classification of the temporalis muscle: anatomical, radiological, and surgical perspectives.Frontiers in surgery · 2026Review
- Are We Underestimating Zygomaticus Variability in Midface Surgery?Journal of clinical medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The zygomatic major and zygomatic minor muscles play a central role in facial expression, particularly in generating the smile, one of the most essential forms of human nonverbal communication. While their function is widely recognized, the anatomical variability in these muscles remains underexplored in both clinical and surgical settings. This review provides a comprehensive, interdisciplinary analysis of the zygomaticus musculature, integrating classical anatomical insights with recent advances in imaging, developmental biology, and artificial intelligence-based analysis. By examining data from cadaveric dissection, MRI, ultrasonography, and 3D photogrammetry, we identify key morphological differences with potential clinical relevance. A novel five-type morphological classification is proposed, based on differences in the number of muscle bellies (i.e., belly number), accessory structures, insertion patterns, and population-based variation. This classification aims to offer a more functionally relevant and clinically applicable framework for use in facial surgery, aesthetic procedures, and forensic reconstruction. By moving beyond the simplistic binary categorizations that have historically defined zygomaticus morphology, this review highlights the need for a personalized approach to facial anatomy, tailored to individual morphological variation. The proposed framework may assist in refining surgical planning, improving outcomes in facial reanimation, and enhancing diagnostic accuracy in both radiological assessment and preoperative planning. By moving beyond traditional binary categorizations, this review highlights the need for a personalized approach to facial anatomy, tailored to individual morphological variations. The proposed framework may assist in refining surgical planning, improving outcomes in facial reanimation, and advancing diagnostic precision in facial imaging. A total of 75 peer-reviewed articles were selected based on a targeted search in PubMed, Scopus, and Web of Science (1995-2024).
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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.