ArticlePlastic and reconstructive surgery2024
Virtual Modeling in Gender-Affirming Facial Masculinization Surgery.
Article in Plastic and reconstructive surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
6 authors.
Funding
Abstract
summaryThe increase in access to facial gender-affirming surgery has resulted in an increase in facial feminization procedures for transfeminine and gender nonbinary populations. However, refined execution of facial masculinization is challenged by the lack of defined measurements for facial augmentation, the lack of long-term predictability in autologous bone grafting in augmentation procedures, and the lack of precision in traditional facial augmentation procedures with generic alloplastic implants. The authors describe an innovation in facial masculinization surgery using modern reconstructive craniofacial surgical techniques with preoperative virtual modeling and the fabrication of 3-dimensionally printed, patient-specific custom implants.
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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.