Association of the COVID-19 pandemic on stroke admissions and treatment globally: a systematic review
Bibliographic record
Abstract
OBJECTIVES: The COVID-19 pandemic has highlighted insufficiencies and gaps within healthcare systems globally. In most countries, including high-income countries, healthcare facilities were over-run and occupied with too few resources beyond capacity. We carried out a systematic review with a primary aim to identify the influence of the COVID-19 pandemic on the presentation and treatment of stroke globally in populations≥65 years of age. DESIGN: A systematic review was completed. In total, 38 papers were included following full-text screening. DATA SOURCES: PubMed, MEDLINE and Embase. ELIGIBILITY CRITERIA: Eligible studies included observational and real-world evidence publications with a population who have experienced stroke treatment during the COVID-19 pandemic. Exclusion criteria included studies comparing the effect of the COVID-19 infection on stroke treatment and outcomes. DATA EXTRACTION AND SYNTHESIS: Primary outcome measures extracted were the number of admissions, treatment times and patient outcome. Secondary outcomes were severity on admission, population risk factors and destination on discharge. No meta-analysis was performed. RESULTS: This review demonstrated that 84% of studies reported decreased admissions rates during the COVID-19 pandemic. However, among those admitted, on average, had higher severity of stroke. Additionally, in-hospital stroke treatment pathways were affected by the implementation of COVID-19 protocols, which resulted in increased treatment times in 60% of studies and increased in-hospital mortality in 82% of studies by 100% on average. The prevalence of stroke subtype (ischaemic or haemorrhagic) and primary treatment methods (thrombectomy or thrombolysis) did not vary due to the COVID-19 pandemic. CONCLUSIONS: During the COVID-19 pandemic, many populations hesitated to seek medical attention, decreasing hospital admissions for less severe strokes and increasing hospitalisation of more severe cases and mortality. The effect of the pandemic on society and healthcare systems needs to be addressed to improve stroke treatment pathways and prepare for potential future epidemics. PROSPERO REGISTRATION NUMBER: CRD42021248564.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.045 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.010 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".