Stroke in COVID-19: a systematic review and meta-analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
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 (CVD) 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 CVD 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-effects model. Summary of review: Of 2,277 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 haemorrhage was less common (11.6%). Patients with COVID-19 developing acute CVD, 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 CVD is not uncommon in 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 suggest that cerebral thrombosis and/or thromboembolism could be possible causative pathways for the disease.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it