Evidence map›Paper›PMID 37308731›Full record

Observational studyNeurocritical care2023

The Loss of Temporal Muscle Volume is Associated with Poor Outcome in Patients with Subarachnoid Hemorrhage: An Observational Cohort Study.

Mario Kofler, Philipp Reitmeir, Bernhard Glodny, Verena Rass, Anna Lindner, Bogdan A Ianosi, Max Gaasch, Alois J Schiefecker, Lauma Putnina, Ronny Beer and 4 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Neurocritical care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% of its field
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. NimoTop or NimoStop?Neurocritical care · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Mario KoflerNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Philipp ReitmeirNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Bernhard GlodnyDepartment of Radiology, Medical University of Innsbruck, Innsbruck, Austria.
Verena RassNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Anna LindnerNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Bogdan A IanosiNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Max GaaschNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Alois J SchiefeckerNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Lauma PutninaNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Ronny BeerNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Paul RhombergDepartment of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria.
Erich SchmutzhardNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Bettina PfauslerNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Raimund HelbokNeurological Intensive Care Unit, Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria. raimund.helbok@kepleruniklinikum.at.ORCID http://orcid.org/0000-0001-5682-0145
Innsbruck Medical University · ATJohannes Kepler University of Linz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntensive care unit (ICU) acquired weakness is a major contributor to poor functional outcome of ICU patients. Quantification of temporal muscle volume assessed on routine computed tomography (CT) scans may serve as a biomarker for muscle wasting in patients suffering from acute brain injury.

methodsThis is a retrospective analysis of prospectively collected data. Temporal muscle volume was assessed on head CT scans of consecutive patients with spontaneous subarachnoid hemorrhage within prespecified time frames (on admission, then weekly ± 2 days). Whenever possible, temporal muscle volume was assessed bilaterally and averaged for the analysis. Poor functional outcome was defined as a 3-month modified Rankin Scale Score ≥ 3. Statistical analysis was performed using generalized estimating equations to handle repeated measurements within individuals.

resultsThe analysis comprised 110 patients with a median Hunt & Hess score of 4 (interquartile range 3-5). Median age was 61 (50-70) years, 73 patients (66%) were women. Baseline temporal muscle volume was 18.5 ± 0.78 cm

conclusionsTemporal muscle volume, which is easily assessable on routine head CT scans, progressively decreases during the ICU stay after spontaneous subarachnoid hemorrhage. Because of its association with disease severity and functional outcome, it may serve as a biomarker for muscle wasting and outcome prognostication.

Indexed as

HydrocephalusSubarachnoid HemorrhageCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesTemporal MuscleTreatment OutcomeBiomarkerIntensive careMuscle wastingNeurocritical careSubarachnoid hemorrhage

Identifiers

PMID37308731
PMCPMC10499691
OpenAlexW4380355994

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.