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Record W3036876052 · doi:10.1038/s41541-020-0197-2

WHO informal consultation on the guidelines for evaluation of the quality, safety, and efficacy of DNA vaccines, Geneva, Switzerland, December 2019

2020· article· en· W3036876052 on OpenAlexaff
Rebecca Sheets, Hye‐Na Kang, Heidi Meyer, Ivana Knežević, Edward Abwao, Mohammed Alali, Patricia Aprea, Changjoon Bae, Carolina Damas Rocha Zarate Blades, Jean Boyer, Kate E. Broderick, Patrick E. Duffy, Aaron Farnsworth, Jayant Gangakhedkar, David Gutsch, Radwan A. Hafiz, Nick Jackson, David C. Kaslow, Amir Sada Khan, Julie E. Ledgerwood, Margaret A. Liu, Joel N. Maslow, Edwin Nkansah, Young Min Park, Ami Patel, Keith Peden, Trina Racine, Nicola J. Rose, Polly Roy, Manki Song, Wei Wei

Bibliographic record

Venuenpj Vaccines · 2020
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsUniversité LavalHealth Canada
FundersU.S. Food and Drug AdministrationWorld Health Organization
KeywordsBlueprintGuidelineStandardizationQuality (philosophy)MedicineRisk analysis (engineering)Engineering managementBusinessEngineeringComputer sciencePathology

Abstract

fetched live from OpenAlex

Consultations have been held to promote the revision of the WHO guidelines for assuring the quality and nonclinical safety evaluation of DNA vaccines adopted by the Expert Committee on Biological Standardization (ECBS) in 2005. The drivers for this revision are described, including the need for regulatory convergence highlighted by the WHO R&D Blueprint. These consultations have driven the revision to its current form, where a new guideline that includes quality, nonclinical, and clinical evaluation of plasmid DNA vaccines is being prepared for public consultation with a view to present to an upcoming ECBS. Major changes to the guidelines include streamlining the existing quality (part A) and nonclinical (part B) sections to reflect the two decades of experience, with manufacturing and control, nonclinical evaluation, and clinical testing of plasmid DNA vaccines, as a platform technology. The urgency for gaining regulatory convergence on this topic is that development of such a platform technology as DNA vaccines for routine use immunizations will prepare manufacturers and regulators across the globe in dealing with rapid development of medical countermeasures against emerging infectious diseases even in the face of an emergency setting. Two examples are described of Zika candidate vaccines that have rapidly advanced in development based on preexisting nonclinical and clinical data that precluded the need to repeat nonclinical toxicology. This report describes the progress stemming from the most recent consultation on the guidelines, including topics discussed and consensus reached.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.138
GPT teacher head0.431
Teacher spread0.293 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2020
Admission routes1
Has abstractyes

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