Evidence map›Paper›PMID 36633685›Full record

ArticleActa neurochirurgica2023

The impact of previous health on the mortality after aneurysmal subarachnoid hemorrhage: analysis of a prospective Swedish multicenter study.

Elisabeth Ronne Engström, Bryndís Baldvinsdóttir, Helena Aineskog, Peter Alpkvist, Per Enblad, Johanna Eneling, Steen Fridriksson, Jan Hillman, Paula Klurfan, Erik Kronvall and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Acta neurochirurgica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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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

14 authors.

Elisabeth Ronne EngströmNeurosurgery, Medical Sciences, Uppsala University, Uppsala, Sweden. Elisabeth.Ronne-Engstrom@neuro.uu.se.ORCID 0000-0001-6345-9415
Bryndís BaldvinsdóttirNeurosurgery, Clinical Sciences, Lund University, Lund, Sweden.
Helena AineskogNeurosurgery, Clinical Sciences, Umea University, Umeå, Sweden.
Peter AlpkvistNeurosurgery, Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Per EnbladNeurosurgery, Medical Sciences, Uppsala University, Uppsala, Sweden.
Johanna EnelingNeurosurgery, Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Steen FridrikssonNeurosurgery, Clinical Neuroscience, Gothenburg University, Gothenburg, Sweden.
Jan HillmanNeurosurgery, Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Paula KlurfanNeurosurgery, Clinical Neuroscience, Gothenburg University, Gothenburg, Sweden.
Erik KronvallNeurosurgery, Clinical Sciences, Lund University, Lund, Sweden.
Peter LindvallNeurosurgery, Clinical Sciences, Umea University, Umeå, Sweden.
Ann-Christin Von VogelsangNeurosurgery, Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.
Ola G NilssonNeurosurgery, Clinical Sciences, Lund University, Lund, Sweden.
Mikael SvenssonNeurosurgery, Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere is an an increasing awareness of the importance of health and lifestyle for stroke diseases like spontaneous subarachnoid hemorrhage (SAH). However, the importance of pre-existing medical conditions for clinical course and mortality after SAH has not been studied. The aim of the present study was to identify pre-existing conditions contributing to mortality after SAH.

methodsData were extracted from a Swedish national prospective study on patients with SAH. Variables were defined for age, sex, body mass index (BMI), clinical condition at admission, and for 10 pre-existing medical conditions. Models predicting mortality in three time intervals with all possible subsets of these variables were generated, compared and selected using Akaike's information criterion.

results1155 patients with ruptured aneurysms were included. The mortality within 1 week was 7.6%, 1 month 14.3%, and 1 year 18.7%. The most common pre-existing medical conditions were smoking (57.6%) and hypertension (38.7%). The model's best predicting mortality within 1 week and from 1 week to 1 month included only the level of consciousness at admission and age, and these two variables were present in all the models among the top 200 in Akaike score for each time period. The most predictive model for mortality between 1 month and 1 year added previous stroke, diabetes, psychiatric disease, and BMI as predictors.

conclusionMortality within the first month was best predicted simply by initial level of consciousness and age, while mortality within from 1 month to 1 year was significantly influenced by pre-existing medical conditions.

Indexed as

Intracranial AneurysmStrokeSubarachnoid HemorrhageHumansProspective StudiesSwedenMedical conditionsMortalityNational prospective studyPrevious healthSpontaneous subarachnoid hemorrhage

Identifiers

PMID36633685
PMCPMC9922219

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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.