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Record W4403059029 · doi:10.58931/cait.2023.3255

Adverse Reactions to Vaccines

2023· article· en· W4403059029 on OpenAlexafffund
Zainab Abdurrahman, David Putman

Bibliographic record

VenueCanadian allergy & immunology today. · 2023
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsMcMaster UniversityMcMaster University Medical CentreCanadian Medical Association
FundersMcMaster University
KeywordsVirologyMedicine

Abstract

fetched live from OpenAlex

Vaccination is one of the most impactful and cost-effective interventions for improving global health. Routine immunization has reduced mortality and morbidity resulting from numerous types of infectious diseases. The widespread use of any reagent is always associated with the risk of adverse reactions, including expected and common side effects, as well as those that are unexpected or idiosyncratic. Mild, local injection site reactions such as redness, tenderness, swelling, or constitutional symptoms such as fever and malaise, are common after vaccination and are not contraindications to further vaccination; they are generally manifestations of the physiologic response to vaccination. Uncommon reactions can vary; they may manifest as delayed hypersensitivity to vaccine components causing injection site nodules or severe, rare anaphylactic reactions. Anaphylaxis occurs at approximately one per million doses administered. The extremely rare Arthus reaction, a type of local Type 3 hypersensitivity reaction, resulting in local immune complex deposition due to the presence of pre-existing IgG antibodies, is typically limited in duration and is not a contraindication to further tetanus vaccination. Allergists are often seen as stewards of information regarding many of these reactions, although most of these reactions are not allergic in nature. It can be difficult to distinguish between a true allergic reaction to a vaccine and other clinical manifestations that may occur during or acutely after vaccination, such as anxiety, vasovagal responses, and pronounced local reactions. Patients who have had adverse reactions to vaccines may be unnecessarily advised to avoid subsequent immunization, which can put them at risk of morbidity or mortality. The importance of making this clinical distinction has become particularly significant during the ongoing COVID-19 pandemic. The allergist plays an important role in investigating adverse reactions to vaccines and ensuring that patients who are eligible can be safely vaccinated following appropriate investigation. For those patients with true immediate-onset allergic reactions, allergists are able to provide safe revaccination following established protocols.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.003

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 head0.028
GPT teacher head0.308
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes2
Has abstractyes

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