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Record W4405003752 · doi:10.1177/17474930241307876

World Stroke Organization (WSO): Global intracerebral hemorrhage factsheet 2025

2024· review· en· W4405003752 on OpenAlexaff
Adrian Parry‐Jones, Rita Krishnamurthi, Wendy Ziai, Ashkan Shoamanesh, Simiao Wu, Sheila Cristina Ouriques Martins

Bibliographic record

VenueInternational Journal of Stroke · 2024
Typereview
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicineStroke (engine)Intracerebral hemorrhageClinical neurologyIntensive care medicineInternal medicineNeuroscienceSubarachnoid hemorrhage

Abstract

fetched live from OpenAlex

BACKGROUND: Intracerebral hemorrhage (ICH) is stroke caused by non-traumatic bleeding into the brain. AIM: This factsheet provides summary statistics for ICH from the 2021 Global of Burden of Diseases Study. METHODS: Data were downloaded from the GBD results platform using "intracerebral hemorrhage" as a Level 4 cause of death or injury, extracting key metrics (number, percent, rate) for measures (incidence, disabilty adjusted life years [DALYs], deaths) described in this factsheet. RESULTS: Globally, stroke was the third leading cause of death in 2021, and ICH accounted for 28.8% of incident strokes. There were estimated to be 7,252,678 deaths due to stroke in 2021 of which ICH accounted for 3,308,367 (45.6%). When considering the burden of ICH in terms of DALYs, ICH accounts for nearly half of the burden of stroke at 49.5%, compared to 43.8% caused by ischemic stroke. ICH must therefore be considered on an equal footing with ischemic stroke, so that efforts can be made to reduce its burden through public health, research, and healthcare provision. Although the overall age-standardized incidence of ICH has been decreasing since 1990, the rate of reduction has been much slower in regions with lower socio-demographic index (SDI). Most of the burden of ICH lies in areas with lower SDI, with 94.2% of DALYs lost to ICH outside areas of high SDI. Geographically, the majority of DALYs due to ICH occur in Southeast Asia, East Asia, and Oceania, with 53.3% of global DALYs lost in these regions alone. The risk factors for ICH are dominated by high systolic blood pressure, which accounts for at least 50% of the burden of ICH, regardless of SDI. Areas with middle or high-middle SDI have a greater proportion of the burden of ICH accounted for by ambient particulate pollution, smoking, and diets high in sodium, whereas household air pollution from solid fuels accounts for much more of the risk of ICH in low SDI regions. CONCLUSION: This World Stroke Organization (WSO) Global ICH Fact Sheet 2025 provides the most updated information on ICH that can be used to support communication with all internal and external stakeholders, inform healthcare policy, and raise public awareness. All statistics have been reviewed and approved for use by the WSO Executive Committee.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.011
Science and technology studies0.0010.000
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0420.037

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 head0.035
GPT teacher head0.378
Teacher spread0.343 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations79
Published2024
Admission routes1
Has abstractyes

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