SynthesisNeurocritical care2013
Clinical prediction models for aneurysmal subarachnoid hemorrhage: a systematic review.
Synthesis in Neurocritical care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 7 of them syntheses that pooled 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.
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.
Who cites it
69 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Systematic review of clinical prediction models for psychosis in individuals meeting At Risk Mental State criteria.Frontiers in psychiatry · 2024Pooled it
- Early predictors of functional outcome in poor-grade aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis.BMC neurology · 2022Pooled it
- Methodological quality of multivariate prognostic models for intracranial haemorrhages in intensive care units: a systematic review.BMJ open · 2021Pooled it
- Haptoglobin genotype and aneurysmal subarachnoid hemorrhage: Individual patient data analysis.Neurology · 2019Pooled it
- Prediction Models and Their External Validation Studies for Mortality of Patients with Acute Kidney Injury: A Systematic Review.PloS one · 2017Pooled it
- External validation of multivariable prediction models: a systematic review of methodological conduct and reporting.BMC medical research methodology · 2014Pooled it
- Clinical outcome prediction in aneurysmal subarachnoid hemorrhage using Bayesian neural networks with fuzzy logic inferences.Computational and mathematical methods in medicine · 2013Pooled it
- Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.JAMA network open · 2019Trial
- Trial
- Targeting health-related quality of life issues not found with functional outcome measures a year after aneurysm subarachnoid hemorrhage in a Swedish national cohort.Acta neurochirurgica · 2026Article
- Beyond the Initial Ictus: Timing of WFNS Grade Assessment and Outcome Prediction in Aneurysmal Subarachnoid Hemorrhage.Neurocritical care · 2026Article
- Clearance of Early Complement Protein From CSF After Aneurysmal Subarachnoid Hemorrhage and Influence on Neurologic Outcome.Neurology(R) neuroimmunology & neuroinflammation · 2026Article
- Overall rehabilitation prognosis for the level of functioning following moderate to severe acquired brain injury: a study using routinely collected health record data.Acta neurologica Belgica · 2026Article
- Impact of Circle of Willis Anatomical Variations on Outcomes in Aneurysmal Subarachnoid Hemorrhage.Neurocritical care · 2026Article
- Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes.Neurosurgical review · 2025Article
- Contribution of an Automatic Algorithm for Quantifying the Volume of Aneurysmal Subarachnoid Hemorrhage to the Evaluation of the Risk of Occurrence of Delayed Cerebral Ischemia: A Cohort Study.Neurocritical care · 2025Observational
- Predicting Mortality in Subarachnoid Hemorrhage Patients Using Big Data and Machine Learning: A Nationwide Study in Türkiye.Journal of clinical medicine · 2025Article
- Explainable machine learning in outcome prediction of high-grade aneurysmal subarachnoid hemorrhage.Aging · 2024Article
- Evaluation of FRESH scores in predicting outcome and quality of life after aneurysmal subarachnoid haemorrhage in a European patient cohort.Acta neurochirurgica · 2024Article
- Navigating through the paradox of choice: prediction of outcome in aneurysmal subarachnoid hemorrhage.Anaesthesiology intensive therapy · 2024Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
backgroundClinical prediction models can enhance clinical decision-making and research. However, available prediction models in aneurysmal subarachnoid hemorrhage (aSAH) are rarely used. We evaluated the methodological validity of SAH prediction models and the relevance of the main predictors to identify potentially reliable models and to guide future attempts at model development.
methodsWe searched the EMBASE, MEDLINE, and Web of Science databases from January 1995 to June 2012 to identify studies that reported clinical prediction models for mortality and functional outcome in aSAH. Validated methods were used to minimize bias.
resultsEleven studies were identified; 3 developed models from datasets of phase 3 clinical trials, the others from single hospital records. The median patient sample size was 340 (interquartile range 149-733). The main predictors used were age (n = 8), Fisher grade (n = 6), World Federation of Neurological Surgeons grade (n = 5), aneurysm size (n = 5), and Hunt and Hess grade (n = 3). Age was consistently dichotomized. Potential predictors were prescreened by univariate analysis in 36 % of studies. Only one study was penalized for model optimism. Details about model development were often insufficiently described and no published studies provided external validation.
conclusionsWhile clinical prediction models for aSAH use a few simple predictors, there are substantial methodological problems with the models and none have had external validation. This precludes the use of existing models for clinical or research purposes. We recommend further studies to develop and validate reliable clinical prediction models for aSAH.
Indexed as
Identifiers
23138544What OpenQuestion holds
Registered trials
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.