Evidence map›Paper›PMID 40469335›Full record

ArticleSurgical neurology international2025

Predictors of temporalis muscle atrophy and head asymmetry following frontotemporal craniotomy: A retrospective analysis of clinical factors and volumetric comparison.

Marcus Jackson, Sasidhar Karuparti, Ravi Nunna, Thomas David Willson, Arnaldo Rivera, Steven B Carr

Abstract read
In one paragraph

Article in Surgical neurology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Marcus JacksonDepartment of Neurosurgery, University of Missouri School of Medicine, Columbia, United States.
Sasidhar KarupartiDepartment of Neurosurgery, University of Missouri School of Medicine, Columbia, United States.
Ravi NunnaDepartment of Neurosurgery, University of Missouri School of Medicine, Columbia, United States.
Thomas David WillsonDepartment of Surgery, Division of Plastic Surgery, University of Missouri School of Medicine, Columbia, United States.
Arnaldo RiveraDepartment of Otolaryngology, University of Missouri School of Medicine, Columbia, United States.
Steven B CarrDepartment of Neurosurgery, University of Missouri School of Medicine, Columbia, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Temporalis muscle (TM) atrophy is a commonly encountered cosmesis issue following craniotomies. This retrospective study aims to investigate the correlation of clinical and surgical factors with postoperative TM volume and head symmetry in patients undergoing frontotemporal craniotomy. Methods: Medical records were retrospectively reviewed for patients undergoing pterional or middle fossa craniotomy. Pre- and post-operative clinical factors, intraoperative factors, and magnetic resonance imaging magnetic resonance imaging scans were obtained. TM volumes (cm Results: A total of 46 patients were included for analysis, including pterional ( Conclusion: Pterional and middle fossa craniotomy procedures are both associated with significant TM volume loss and subsequent head asymmetry. Age and preoperative scalp thickness are independent risk factors for the development of TM volume loss and head asymmetry. These findings could contribute to the development of preoperative risk stratification algorithms, enabling neurosurgeons to predict the likelihood of cosmetic disfigurement. This would enhance preoperative counseling for patients undergoing craniotomy procedures, especially for elderly individuals and those with thin scalps. Overall, this study provides valuable insights into prognostic factors that may impact the development of poor cosmesis following frontotemporal craniotomy.

Indexed as

CosmesisHead asymmetryPterionalTemporal hollowingTemporalis muscle atrophyVolumetric analysis

Identifiers

PMID40469335
PMCPMC12134851

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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.