Guillain Barre Syndrome as a Complication of COVID-19: Letter to the Editor
Bibliographic record
Abstract
We read with interest the Letter to the Editor in response to our systematic review entitled "Guillain Barre Syndrome as a Complication of COVID-19: A Systematic Review" which was published on May 5, 2021. 1 When compared with another review article by Finsterer et al., 2 which was published on May 4, 2021, the authors of the letter made a few observations about our systematic search and techniques.The letter noted that our article has similar conclusions to the review published by Finsterer et al. 2 The article published by Finsterer et al. 2 reviews 220 patients diagnosed with SARS-CoV2-related Guillain-Barrie syndrome (GBS) and concluded that GBS after COVID-19 is likely due to a postinfectious mechanism, and that it is associated with a worse outcome compared to non-COVID-related GBS.The article also concluded that the prevalence of GBS has most likely increased after the pandemic started.In terms of the patients' demographics, clinical presentation, GBS subtypes, treatment and outcomes, the article provides patients' age range of 8-94 years and a latency period of 10-90 days.As for clinical and electrophysiologic variants, the article classifies GBS subtypes and to acute inflammatory demyelinating polyneuropathy (AIDP), acute motor axonal neuropathy (AMAN), acute motor and sensory axonal neuropathy (AMSAN), Miller Fisher syndrome (MFS), polyneuritis cranialis (PNC), pharyngeal, cervical, and brachial (PCB) variant, and Bickerstaff encephalitis (BFE) in which AIDP was noted to be the most common variant.In terms of the clinical outcomes, the study classifies clinical outcomes in those patients into three categories: partial recovery, complete recovery and death.In our study, we agree that we have similar conclusions including increased incidence of COVID-related GBS in males and AIDP being the most common electrophysiologic variant.However, our study still has some other important conclusions including providing the median values for both age and latency period, instead of providing ranges.In addition, our study classified the GBS cases either as clinical variants (classical sensorimotor GBS, paraparetic GBS, MFS, PCB, bilateral facial palsy with paranesthesia, BFE, pure motor GBS, pure sensory GBS) or as electrophysiologic variants (AIDP, AMAN, AMSAN) in which the most common clinical GBS variant was the classical sensorimotor subtype with frequent involvement of the facial nerve.We have stratified the disease outcomes differently as we categorize the clinical outcomes into (intensive care unit admission, mechanical ventilation, death).Additionally, the letter raises inquiries about our search methods as there were similarities between the included cases in our study and the cases in the article by Finsterer et al. 2 The letter also questions why the article by Finsterer et al. 2 was not included in our paper while it was published prior to our review.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.020 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".