Evidence map›Paper›PMID 42550298›Full record

ArticleNeurosurgical review2026

Non-contrast computed tomography at the end of the acute care phase as an additional prognostic tool after aneurysmal subarachnoid hemorrhage.

Riccardo Ludovichetti, Massimo Barbagallo, Ignazio De Trizio, Mergime Maralushaj, Nathalie Nierobisch, Ramona-Alexandra Todea, Meritxell Garcia Alzamora, Zsolt Kulcsar, Giovanna Brandi

Abstract read
In one paragraph

Article in Neurosurgical review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

9 authors.

Riccardo LudovichettiDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland. riccardo.ludovichetti@usz.ch.ORCID http://orcid.org/0000-0002-6125-005X
Massimo BarbagalloInstitute for Intensive Care Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-5583-7236
Ignazio De TrizioInstitute for Intensive Care Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-5046-9945
Mergime MaralushajInstitute for Intensive Care Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
Nathalie NierobischDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland.ORCID http://orcid.org/0009-0005-0992-6867
Ramona-Alexandra TodeaDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland.ORCID http://orcid.org/0000-0003-4650-8312
Meritxell Garcia AlzamoraDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland.ORCID http://orcid.org/0000-0001-7946-4657
Zsolt KulcsarDepartment of Neuroradiology, Clinical Neuroscience Center, University Hospital Zürich, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-6805-5150
Giovanna BrandiInstitute for Intensive Care Medicine, University Hospital Zurich and University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-6682-2424

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aneurysmal subarachnoid hemorrhage (aSAH) is a life-threatening condition with high morbidity and mortality. Long-term outcomes remain difficult to predict. Computed tomography (CT) is central to diagnosis and early risk stratification, yet the prognostic value of non-contrast CT at the end of the acute care phase is not fully established. We conducted a retrospective single-center study of adult patients with confirmed aSAH admitted to the Neurocritical Care Unit (NCCU) of the University Hospital Zurich (January 2016-June 2024). Survivors with CT at discharge from the NCCU and 12-month follow-up were included. Functional outcome was assessed using the Glasgow Outcome Scale Extended (GOSE) and dichotomized as favorable (5-8) or unfavorable (1-4). CT scans were evaluated for infarcts, hemorrhage distribution, hydrocephalus requiring shunt, midline shift, and decompressive surgery. Multivariable logistic regression with multiple imputation by chained equations (MICE) addressed missing data, with days from admission to discharge CT included as a covariate in the clinical-severity model to control for differential timing. Discriminative performance was assessed using receiver operating characteristic (ROC) curve analysis. Of 500 admitted patients, 325 met inclusion criteria. At 12 months, 234 had favorable and 91 unfavorable outcomes. In a radiological model, increasing age and infarcts involving the thalamus, basal ganglia, corpus callosum, and cerebellum, together with cortical infarction and intraventricular hemorrhage, were independently associated with unfavorable outcome; sulcal subarachnoid hemorrhage showed only a non-significant trend toward a protective association. In a separate clinical-severity model, increasing age, ventriculoperitoneal shunt placement, decompressive craniectomy, and days-to-CT scan were independently associated with unfavorable outcome. ROC analysis showed low-to-moderate discriminative ability (AUC range 0.529-0.688), with intraventricular hemorrhage performing best. Discharge non-contrast CT provides incremental prognostic information in aSAH survivors. Deep or midline infarctions are particularly decisive for early prognostication and rehabilitation using routinely available imaging.

Indexed as

Subarachnoid HemorrhageTomography, X-Ray ComputedAdultAgedCritical CareFemaleGlasgow Outcome ScaleHumansHydrocephalusMaleMiddle AgedPrognosisRetrospective StudiesAneurysmal subarachnoid hemorrhageComputed tomographyFunctional outcomePrognostication

Identifiers

PMID42550298
PMCPMC13437646

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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.