MétaCan
Menu
Back to cohort
Record W4206064937 · doi:10.1212/cpj.0000000000001148

Case Series of Guillain-Barré Syndrome After the ChAdOx1 nCoV-19 (Oxford–AstraZeneca) Vaccine

2022· review· en· W4206064937 on OpenAlexaffabout
Miranda Wan, Angela Lee, Ronak K. Kapadia, Christopher Hahn

Bibliographic record

VenueNeurology Clinical Practice · 2022
Typereview
Languageen
FieldMedicine
TopicPeripheral Neuropathies and Disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsVaccinationGuillain-Barre syndromeMedicineVaccine safetyCoronavirus disease 2019 (COVID-19)PediatricsAdverse effectImmunologyImmunizationDiseaseInternal medicineImmune systemInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Purpose of Review: Vaccination has been associated with Guillain-Barre syndrome (GBS). Amid a global vaccination campaign to stop the spread of COVID-19, fears of GBS can contribute to vaccine hesitancy. We describe 3 cases of GBS in Calgary, Canada, presenting within 2 weeks of receiving the ChAdOx1 nCoV-19 (COVISHIELD) Oxford-AstraZeneca vaccination and review the available literature. Recent Findings: All 3 patients presented to the hospital in Calgary, Alberta, Canada, within a one-month time frame with GBS. Their clinical courses ranged from mild to severe impairment, all requiring immunomodulatory treatment. Summary: There is currently little evidence to support a causal relationship between vaccination and GBS. Furthermore, there is limited evidence to support recurrent GBS in patients with GBS temporally associated with vaccination. Neurologists should approach discussions with patients regarding GBS after vaccination carefully so as not to misrepresent this relationship and to educate patients that the risk of COVID-19 infection outweighs the small individual risk of a vaccine-associated adverse event.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.706
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.090
GPT teacher head0.410
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations7
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueNeurology Clinical PracticeSame topicPeripheral Neuropathies and DisordersFrench-language works237,207