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Stroke in COVID-19: A systematic review and meta-analysis

2020· review· en· 586 citations· W3093968859 on OpenAlex· 10.1177/1747493020972922

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

About CanadaIts subject is Canada, wherever its authors sit.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

Machine scores (provisional)

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

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.

Opus teacher head0.073
GPT teacher head0.420
Teacher spread
0.346 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

BACKGROUND: Coronavirus disease 2019 (COVID-19) has become a global pandemic, affecting millions of people. However, the relationship between COVID-19 and acute cerebrovascular diseases is unclear. AIMS: We aimed to characterize the incidence, risk factors, clinical-radiological manifestations, and outcome of COVID-19-associated stroke. METHODS: Three medical databases were systematically reviewed for published articles on acute cerebrovascular diseases in COVID-19 (December 2019-September 2020). The review protocol was previously registered (PROSPERO ID = CRD42020185476). Data were extracted from articles reporting ≥5 stroke cases in COVID-19. We complied with the PRISMA guidelines and used the Newcastle-Ottawa Scale to assess data quality. Data were pooled using a random-effect model. SUMMARY OF REVIEW: Of 2277 initially identified articles, 61 (2.7%) were entered in the meta-analysis. Out of 108,571 patients with COVID-19, acute CVD occurred in 1.4% (95%CI: 1.0-1.9). The most common manifestation was acute ischemic stroke (87.4%); intracerebral hemorrhage was less common (11.6%). Patients with COVID-19 developing acute cerebrovascular diseases, compared to those who did not, were older (pooled median difference = 4.8 years; 95%CI: 1.7-22.4), more likely to have hypertension (OR = 7.35; 95%CI: 1.94-27.87), diabetes mellitus (OR = 5.56; 95%CI: 3.34-9.24), coronary artery disease (OR = 3.12; 95%CI: 1.61-6.02), and severe infection (OR = 5.10; 95%CI: 2.72-9.54). Compared to individuals who experienced a stroke without the infection, patients with COVID-19 and stroke were younger (pooled median difference = -6.0 years; 95%CI: -12.3 to -1.4), had higher NIHSS (pooled median difference = 5; 95%CI: 3-9), higher frequency of large vessel occlusion (OR = 2.73; 95%CI: 1.63-4.57), and higher in-hospital mortality rate (OR = 5.21; 95%CI: 3.43-7.90). CONCLUSIONS: Acute cerebrovascular diseases are not uncommon in patients with COVID-19, especially in those whom are severely infected and have pre-existing vascular risk factors. The pattern of large vessel occlusion and multi-territory infarcts suggests that cerebral thrombosis and/or thromboembolism could be possible causative pathways for the disease.

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.

The record

Venue
International Journal of Stroke
Topic
Long-Term Effects of COVID-19
Field
Medicine
Canadian institutions
Funders
British Heart FoundationMedical Research CouncilNational Institute for Health and Care Research
Keywords
MedicineStroke (engine)Meta-analysisIntracerebral hemorrhageDiabetes mellitusIncidence (geometry)Internal medicineCoronavirus disease 2019 (COVID-19)PandemicCoronary artery diseaseDiseaseSubarachnoid hemorrhageInfectious disease (medical specialty)
Has abstract in OpenAlex
yes