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Record W1982500142 · doi:10.1086/368189

Ocular and Respiratory Symptoms Attributable to Inactivated Split Influenza Vaccine: Evidence from a Controlled Trial Involving Adults

2003· article· en· W1982500142 on OpenAlexaff
David W. Scheifele, Bernard Duval, Margaret L. Russell, Richard Warrington, Gaston DeSerres, Danuta M. Skowronski, Marc Dionne, James D. Kellner, Judy MacDonald

Bibliographic record

VenueClinical Infectious Diseases · 2003
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsCanadian Society for ImmunologyCanadian Association for the Study of the LiverCanadian Mental Health Association
Fundersnot available
KeywordsMedicinePlaceboInfluenza vaccineConfidence intervalItchingRandomized controlled trialVaccinationInternal medicineRespiratory systemSalineImmunologyPathology

Abstract

fetched live from OpenAlex

In 2000, an influenza vaccine was associated with unusual ocular and respiratory symptoms (known as "oculorespiratory syndrome" [ORS]) that possibly were due to numerous microaggregates of unsplit viruses present in the product. We assessed the potential for an improved vaccine formulation (for use in 2001-2002) to cause ORS and other symptoms in adults, using a double-blind, randomized, crossover study design. Symptoms were ascertained 24 h after 622 doses of vaccine and 626 doses of saline placebo were injected. The risk of ORS was 6.3% after vaccine injection and 3.4% after placebo injection, which yielded a significant vaccine-attributable risk of 2.9% (95% confidence interval, 0.6-5.2). ORS symptoms were mild. Significant differences in risk after injection of vaccine versus placebo existed for ocular soreness and/or itching (2.4%), coughing (1.6%), and hoarseness (1.2%). Vaccine-attributable general symptoms were infrequent. We conclude that certain mild oculorespiratory symptoms were triggered by an influenza vaccine that was otherwise minimally reactogenic and, hence, that such symptoms might be associated with influenza vaccines in general.

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)0.001
metaresearch head score (Gemma)0.089
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.089
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.117
GPT teacher head0.438
Teacher spread0.321 · 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 designObservational
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

Citations46
Published2003
Admission routes1
Has abstractyes

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