Prevalence, clinical characteristics and outcomes of Guillain−Barré syndrome spectrum associated with 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
Abstract Background and purpose Mounting evidence supports an association between Guillain−Barré syndrome spectrum (GBSs) and severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection. However, GBSs in the setting of coronavirus disease 2019 (COVID‐19) remains poorly characterized, whilst GBSs prevalence amongst COVID‐19 patients has not been previously systematically evaluated using a meta‐analytical approach. Methods A systematic review and meta‐analysis of observational cohort and case series studies reporting on the occurrence, clinical characteristics and outcomes of patients with COVID‐19‐associated GBSs was performed. A random‐effects model was used to calculate pooled estimates and odds ratios (ORs) with corresponding 95% confidence intervals (CIs), compared to non‐COVID‐19, contemporary or historical GBSs patients. Results Eighteen eligible studies (11 cohorts, seven case series) were identified including a total of 136,746 COVID‐19 patients. Amongst COVID‐19 patients, including hospitalized and non‐hospitalized cases, the pooled GBSs prevalence was 0.15‰ (95% CI 0%–0.49‰; I 2 = 96%). Compared with non‐infected contemporary or historical controls, patients with SARS‐CoV‐2 infection had increased odds for demyelinating GBSs subtypes (OR 3.27, 95% CI 1.32%–8.09%; I 2 = 0%). In SARS‐CoV‐2‐infected patients, olfactory or concomitant cranial nerve involvement was noted in 41.4% (95% CI 3.5%–60.4%; I 2 = 46%) and 42.8% (95% CI 32.8%–53%; I 2 = 0%) of the patients, respectively. Clinical outcomes including in‐hospital mortality were comparable between COVID‐19 GBSs patients and non‐infected contemporary or historical GBSs controls. Conclusion GBSs prevalence was estimated at 15 cases per 100,000 SARS‐CoV‐2 infections. COVID‐19 appears to be associated with an increased likelihood of GBSs and with demyelinating GBSs variants in particular.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.013 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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