MétaCan
Menu
Back to cohort
Record W4225371291 · doi:10.1111/fcp.12794

NVX‐Cov2373 Novavax Covid‐19 vaccine: A further analysis of its efficacy using multiple modes of expression

2022· article· en· W4225371291 on OpenAlexaff
Jean‐Louis Montastruc, Pierre Biron, Agnès Sommet

Bibliographic record

VenueFundamental and Clinical Pharmacology · 2022
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNumber needed to treatMedicineCoronavirus disease 2019 (COVID-19)Vaccine efficacyClinical trialRelative riskAbsolute risk reductionInternal medicineVaccinationConfidence intervalImmunologyDisease

Abstract

fetched live from OpenAlex

A fifth vaccine against Covid-19, NVX-CoV2373 Nuvavoxid® (Novavax), a protein-based adjuvanted vaccine, was recently marketed in Europe. The main clinical trial before marketing concluded to a 'vaccine efficacy' of 89.7% without talking about other validated efficacy parameters. We further analysed the data of this clinical trial using the different validated methods of risk expression: absolute risks (AR), AR reduction (ARR) and number needed to treat (NNT). ARR and NNT values were 1.22% and 82, respectively, for an RR value of 0.10. Description of these parameters allowed defining some interesting characteristics of NVX-CoV2373 efficacy according to age, race, variant and coexisting illness. Finally, we ask that the results of clinical trials be systematically presented, using not only RR but also including AR, ARR and NNT.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.149
GPT teacher head0.495
Teacher spread0.345 · 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 designBench or experimental
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

Citations8
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueFundamental and Clinical PharmacologySame topicSARS-CoV-2 and COVID-19 ResearchFrench-language works237,207