Evidence map›Paper›PMID 38426166›Full record

ArticleFrontiers in neurology2024

Factors affecting 30-day mortality in poor-grade aneurysmal subarachnoid hemorrhage: a 10-year single-center experience.

Antonino Scibilia, Arianna Rustici, Marta Linari, Corrado Zenesini, Laura Maria Beatrice Belotti, Massimo Dall'Olio, Ciro Princiotta, Andrea Cuoci, Raffaele Aspide, Ernesto Migliorino and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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  5. Review
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

16 authors at 4 institutions in 1 country.

Antonino Scibilia *IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurochirurgia, Bologna, Italy.
Arianna Rustici *IRCCS Istituto delle Scienze Neurologiche di Bologna, UOSI di Neuroradiologia Ospedale Maggiore, Bologna, Italy.
Marta LinariDipartimento di Scienze Biomediche e Neuromotorie (DIBINEM), Università di Bologna, Bologna, Italy.
Corrado ZenesiniIRCCS Istituto delle Scienze Neurologiche di Bologna, Unità di Epidemiologia e Biostatistica, Bologna, Italy.
Laura Maria Beatrice BelottiIRCCS Istituto delle Scienze Neurologiche di Bologna, Unità di Epidemiologia e Biostatistica, Bologna, Italy.
Massimo Dall'OlioIRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neuroradiologia, Bologna, Italy.
Ciro PrinciottaIRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neuroradiologia, Bologna, Italy.
Andrea CuociIRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurochirurgia, Bologna, Italy.
Raffaele AspideIRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Anestesia e Rianimazione, Bologna, Italy.
Ernesto MigliorinoIRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Anestesia e Rianimazione, Bologna, Italy.
Manuel MonetiIRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Anestesia e Rianimazione, Bologna, Italy.
Carmelo SturialeIRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurochirurgia, Bologna, Italy.
Carlo Alberto CastioniIRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Anestesia e Rianimazione, Bologna, Italy.
Alfredo ContiIRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurochirurgia, Bologna, Italy.
Carlo Bortolotti *IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Neurochirurgia, Bologna, Italy.
Luigi Cirillo *Dipartimento di Scienze Biomediche e Neuromotorie (DIBINEM), Università di Bologna, Bologna, Italy.
Istituto delle Scienze Neurologiche di Bologna · ITUniversity of Bologna · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITOspedale Maggiore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The management of patients with poor-grade aneurysmal subarachnoid hemorrhage (aSAH) is burdened by an unfavorable prognosis even with aggressive treatment. The aim of the present study is to investigate the risk factors affecting 30-day mortality in poor-grade aSAH patients. Methods: We performed a retrospective analysis of a prospectively collected database of poor-grade aSAH patients (World Federation of Neurosurgical Societies, WFNS, grades IV and V) treated at our institution from December 2010 to December 2020. For all variables, percentages of frequency distributions were analyzed. Contingency tables (Chi-squared test) were used to assess the association between categorical variables and outcomes in the univariable analysis. Multivariable analysis was performed by using the multiple logistic regression method to estimate the odds ratio (OR) for 30-day mortality. Results: A total of 149 patients were included of which 32% had WFNS grade 4 and 68% had WFNS grade 5. The overall 1-month mortality rate was 21%. On univariable analysis, five variables were found to be associated with the likelihood of death, including intraventricular hemorrhage (IVH ≥ 50 mL, Conclusion: The risk of mortality in poor-grade aSAH remains considerable despite maximal treatment. Notwithstanding the limitations of a retrospective study, our report highlights some neuroradiological features that in the emergency setting, combined with leading clinical and anamnestic parameters, may support the multidisciplinary team in the difficult decision-making process and communication with family members from the earliest stages of poor-grade aSAH. Further prospective studies are warranted.

Indexed as

intracranial aneurysmsMortalitypoor-gradepredictorssubarachnoid hemorrhage

Identifiers

PMID38426166
PMCPMC10901988
OpenAlexW4391841648

What OpenQuestion holds

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LicenceCC BY
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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.