Evidence map›Paper›PMID 39652235›Full record

ReviewNeurosurgical review2024

Proposal of a predictive score for the occurrence of postoperative cerebral vasospasm: analysis of a large single institution retrospective series and literature review.

Marco Paolo Schiariti, Elio Mazzapicchi, Marco Gemma, Erica Pasquale, Francesco Restelli, Elisa Francesca Maria Ciceri, Jacopo Falco, Morgan Broggi, Francesco DiMeco, Paolo Ferroli and 1 more

Abstract readReview
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In one paragraph

Review in Neurosurgical review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

11 authors.

Marco Paolo SchiaritiDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico C. Besta, University of Milan, Via Giovanni Celoria 11, 20133, Milan, Italy.
Elio MazzapicchiDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico C. Besta, University of Milan, Via Giovanni Celoria 11, 20133, Milan, Italy. Elio.Mazzapicchi@unimi.it.
Marco GemmaDepartment of Neuroanesthesia and Intensive Care, Fondazione IRCCS Istituto Neurologico C. Besta, University of Milan, Milan, Italy.
Erica PasqualeDepartment of Neurosurgery, Azienda Ospedaliero Universitaria Pisana (AOUP), Pisa, Italy.
Francesco RestelliDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico C. Besta, University of Milan, Via Giovanni Celoria 11, 20133, Milan, Italy.
Elisa Francesca Maria CiceriDepartment of Diagnostic and Interventional Neuroradiology, Fondazione IRCCS Istituto Neurologico C. Besta, University of Milan, Milan, Italy.
Jacopo FalcoDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico C. Besta, University of Milan, Via Giovanni Celoria 11, 20133, Milan, Italy.
Morgan BroggiDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico C. Besta, University of Milan, Via Giovanni Celoria 11, 20133, Milan, Italy.
Francesco DiMecoDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico C. Besta, University of Milan, Via Giovanni Celoria 11, 20133, Milan, Italy.
Paolo FerroliDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico C. Besta, University of Milan, Via Giovanni Celoria 11, 20133, Milan, Italy.
Francesco AcerbiDepartment of Neurosurgery, Azienda Ospedaliero Universitaria Pisana (AOUP), Pisa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite being uncommon, postoperative vasospasm (PoVS) present notably high morbidity and mortality rates. Our aim was to identify prognostic factors associated with this condition and introduce a scoring system to improve subsequent clinical and radiological surveillance strategies. We conducted a retrospective analysis of our institutional database covering patients aged over 18 who underwent craniotomic or transsphenoidal surgery for elective tumor removal at the Neurosurgical Unit of our institution between January 2016 and August 2023. A comprehensive search was conducted using the Cochrane Database of Systematic Reviews and PubMed database to identify the most correlated risk factors. Literature review included a final group of 32 studies (52 patients) and identified SAH, vessel encasement or vessel manipulation, hypothalamic disfunction, meningitis, younger age, tumor size > 3 cm, and long operative time as predictive factors for PoVS. Our cohort included 2132 patients, with only 13 individuals (0.61%) presenting PoVS. To predict the occurrence of PoVS, we developed a logistic multivariate regression model that identified thick (defined as Fisher grade ≥ 3) subarachnoid hemorrhage (coeff. 6.7, p < 0.001), intraparenchymal hemorrhage (coeff. 3.44, p < 0.001), lesion located in the parasellar region (coeff. 2.1, p = 0.064), and lesion size ≥ 4 cm (coeff. 2.0, p = 0.069) as potential independent predictors of PoVS. Based on statistical model for these variables was assigned a score: thick SAH 7 points, intraparenchymal hemorrhage 3 points, parasellar lesion site 2 points, and lesion size ≥ 4 cm 2 points. The cumulative scores ranged from 0 to 14. PoVS is a rare complication but its association with significant morbidity and mortality underscores the importance of early identification and treatment. In our study we proposed a stratified risk score to identify high risk patients. However, due to rarity of this condition, our score proposal should be considered as a training set a to be validated in future studies with a multicenter setting.

Indexed as

Postoperative ComplicationsVasospasm, IntracranialAdultHumansNeurosurgical ProceduresRetrospective StudiesRisk FactorsSubarachnoid HemorrhageDelayed cerebral ischemiaPostoperative vasospasmTumour resectionVasospasm

Identifiers

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Registered trials

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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.