ReviewCureus2026
Ear Surgery Training: A Comprehensive Review.
Review in Cureus, 2026. 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.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The technical complexity of otologic procedures, such as mastoidectomy and ossiculoplasty, necessitates high-fidelity training to navigate intricate temporal bone anatomy safely. This review evaluates the transition from traditional surgical pedagogy to high-tech simulation. We synthesized current data on cadaveric dissection, 3D-printed models, and virtual reality (VR) platforms, assessing their impact on haptic proficiency and clinical skill transfer. Beyond traditional methods, we examine how exoscopic and robotic-assisted systems are reshaping the learning curve by providing enhanced magnification and tremor filtration. However, the integration of these tools faces hurdles, including high capital costs and the challenge of replicating the varied pathologies encountered in live patients. Our analysis highlights that while emerging technologies offer scalable alternatives to human tissue, traditional mentorship remains the benchmark for haptic feedback. A comprehensive, multimodal training framework is essential to bridge the gap between simulation and the operating room, ultimately optimizing patient safety and surgical precision.
Indexed as
Identifiers
What OpenQuestion holds
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.