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Record W3109416075 · doi:10.1161/strokeaha.120.029538

Incidence and Outcome of Aneurysmal Subarachnoid Hemorrhage

2020· article· en· W3109416075 on OpenAlexaff
Bawarjan Schatlo, Christian Fung, Martin N. Stienen, Ali Reza Fathi, Javier Fandino, Nicolas R. Smoll, Daniel Zumofen, Roy Thomas Daniel, Jan‐Karl Burkhardt, David Bervini, Serge Marbacher, Michael Reinert, Donato D ́Alonzo, Peter Ahlborn, Vítor Mendes Pereira, Michel Roethlisberger, Martin Seule, Hassen Kerkeni, Luca Remonda, Astrid Weyerbrock, Kerstin Woernle, Alice Venier, Fabienne Perren, Martin Sailer, Thomas Robert, Veit Rohde, Daniel Schöni, Johannes Goldberg, Edin Nevzati, Michael Diepers, Jan Gralla, Werner J. Z’Graggen, Daniele Starnoni, Christoph M. Woernle, Nicolai Maldaner, Zsolt Kulcsár, Khaled Mostaguir, Rodolfo Maduri, Christian Eisenring, René L. Bernays, Andrea Ferrari, H. Danura, Sina Finkenstädt, Yvan Gasche, Asita Sarrafzadeh, Stephan M. Jakob, Marco V. Corniola, Fabian Baumann, Luca Regli, Marc Levivier, Gerhard Hildebrandt, Hans‐Peter Landolt, Luigi Mariani, Raphaël Guzman, Jürgen Beck, Andreas Raabe, E. Keller, Philippe Bijlenga, Karl Schaller

Bibliographic record

VenueStroke · 2020
Typearticle
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineSubarachnoid hemorrhageModified Rankin ScaleIncidence (geometry)Case fatality rateAneurysmPopulationIntracerebral hemorrhageGlasgow Outcome ScalePediatricsSurgeryEpidemiologyInternal medicineGlasgow Coma ScaleIschemic stroke

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: The purpose of this study was to assess nationwide incidence and outcomes of aneurysmal subarachnoid hemorrhage (aSAH). The Swiss SOS (Swiss Study on Subarachnoid Hemorrhage) was established in 2008 and offers the unique opportunity to provide this data from the point of care on a nationwide level. METHODS: All patients with confirmed aneurysmal subarachnoid hemorrhage admitted between January 1, 2009 and December 31, 2014, within Switzerland were recorded in a prospective registry. Incidence rates were calculated based on time-matched population data. Admission parameters and outcomes at discharge and at 1 year were recorded. RESULTS: We recorded data of 1787 consecutive patients. The incidence of aneurysmal subarachnoid hemorrhage in Switzerland was 3.7 per 100 000 persons/y. The number of female patients was 1170 (65.5%). With a follow-up rate of 91.3% at 1 year, 1042 patients (58.8%) led an independent life according to the modified Rankin Scale (0-2). About 1 in 10 patients survived in a dependent state (modified Rankin Scale, 3-5; n=185; 10.4%). Case fatality was 20.1% (n=356) at discharge and 22.1% (n=391) after 1 year. CONCLUSIONS: The current incidence of aneurysmal subarachnoid hemorrhage in Switzerland is lower than expected and an indication of a global trend toward decreasing admissions for ruptured intracranial aneurysms. Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT03245866.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.269
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations106
Published2020
Admission routes1
Has abstractyes

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