Evidence map›Paper›PMID 38720242›Full record

ArticleJournal of cachexia, sarcopenia and muscle2024

Reduced temporal muscle thickness predicts shorter survival in patients undergoing chronic subdural haematoma drainage.

Tommi K Korhonen, Otso Arponen, Moritz Steinruecke, Ilaria Pecorella, Harry Mee, Stefan Yordanov, Edoardo Viaroli, Mathew R Guilfoyle, Angelos Kolias, Ivan Timofeev and 2 more

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In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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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

12 authors.

Tommi K KorhonenDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.ORCID 0000-0002-5500-9200
Otso ArponenDepartment of Radiology, University of Cambridge, Cambridge, UK.
Moritz SteinrueckeDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.ORCID 0000-0003-1647-4481
Ilaria PecorellaDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.
Harry MeeDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.
Stefan YordanovDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.
Edoardo ViaroliDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.
Mathew R GuilfoyleDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.
Angelos KoliasDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.
Ivan TimofeevDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.
Peter HutchinsonDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.
Adel HelmyDivision of Neurosurgery, Department of Clinical Neurosciences, Cambridge University Hospitals NHS Foundation Trust & University of Cambridge, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic subdural haematoma (CSDH) drainage is a common neurosurgical procedure. CSDHs cause excess mortality, which is exacerbated by frailty. Sarcopenia contributes to frailty - its key component, low muscle mass, can be assessed using cross-sectional imaging. We aimed to examine the prognostic role of temporal muscle thickness (TMT) measured from preoperative computed tomography head scans among patients undergoing surgical CSDH drainage.

methodsWe retrospectively identified all patients who underwent CSDH drainage within 1 year of February 2019. We measured their mean TMT from preoperative computed tomography scans, tested the reliability of these measurements, and evaluated their prognostic value for postoperative survival.

resultsOne hundred and eighty-eight (122, 65% males) patients (median age 78 years, IQR 70-85 years) were included. Thirty-four (18%) patients died within 2 years, and 51 (27%) died at a median follow-up of 39 months (IQR 34-42 months). Intra- and inter-observer reliability of TMT measurements was good-to-excellent (ICC 0.85-0.97, P < 0.05). TMT decreased with age (Pearson's r = -0.38, P < 0.001). Females had lower TMT than males (P < 0.001). The optimal TMT cut-off values for predicting two-year survival were 4.475 mm for males and 3.125 mm for females. TMT below these cut-offs was associated with shorter survival in both univariate (HR 3.24, 95% CI 1.85-5.67) and multivariate (HR 1.86, 95% CI 1.02-3.36) analyses adjusted for age, ASA grade and bleed size. The effect of TMT on mortality was not mediated by age.

conclusionsIn patients with CSDH, TMT measurements from preoperative imaging were reliable and contained prognostic information supplemental to previously known predictors of poor outcomes.

Indexed as

DrainageHematoma, Subdural, ChronicTemporal MuscleAgedAged, 80 and overFemaleHumansMalePrognosisRetrospective StudiesTomography, X-Ray ComputedBody compositionChronic subdural haematomaComputed tomographyFrailtySarcopenia

Identifiers

PMID38720242
PMCPMC11294050

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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.