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WHO informal consultation on revision of guidelines on evaluation of similar biotherapeutic products, virtual meeting, 30 June – 2 July 2021

2022· article· en· W4224288018 on OpenAlexaff
Meenu Wadhwa, Hye‐Na Kang, Robin Thorpe, Ivana Knežević, P. Aprea, M.-C. Bielsky, Niklas Ekman, H.‐K. Heim, Ji Hun Joung, Pekka Kurki, Emanuela Lacaná, Catherine Njue, Edwin Nkansah, Maria Savkina, Teruhide Yamaguchi, J. Wang, Martina Weise, Elena Wolff‐Holz, M. Allam, H. Bahaa, Moamen Mohamed Sayed, A. Al-Oballi, Ahmad bin Salem Al-Shahrani, Dong Hyun Baek, J. Kim, Hui Ming Chua, Jayant Gangakhedkar, Mr P. Jagtap, T. Lyaskovsky, S. Okudaira, W. Ondee, P.S. Sotomayor, J.I. Solis Ricra, J. Uviase, F. Ahmed, Y. Rajendran, H.G. Tonioli Defendi, Soon-Oh Cho, A. Qu, Virginia Acha, Mümün Gencoglu, K. Ho, M. Baldrighi, Martin Schiestl, Keith D. Watson, E. Spitzer, S. Chong, Alana Fukushima, G. Pante, Mariângela Simão

Bibliographic record

VenueBiologicals · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsHealth Canada
FundersMinistry of Health and WelfareWorld Health Organization
KeywordsCLARITYBiosimilarFlexibility (engineering)StandardizationMedicineEngineering ethicsRisk analysis (engineering)Management scienceBusinessMedical educationEngineering managementPolitical scienceEngineeringLawManagement

Abstract

fetched live from OpenAlex

The WHO informal consultation was held to promote the revision of WHO guidelines on evaluation of similar biotherapeutic products (SBPs) adopted by the Expert Committee on Biological Standardization (ECBS) in 2009. It was agreed in the past consultations that the evaluation principles in the guidelines are still valid, but a review was recommended to provide more clarity and case-by-case flexibility. The opportunity was therefore taken to review the experience and identify areas where the current guidance could be more permissive without compromising its basic principles, and where additional explanation could be provided regarding the possibility of reducing the amount of data needed for regulatory approval. The meeting participants applauded the leading role taken by the WHO in providing a much-needed streamlined approach for development and evaluation of SBPs which will provide efficient and cost-effective product development and increase patient access to treatments. It was recognized that the principles as currently described in the draft WHO guidelines are based on sound science and experience gained over the last fifteen years of biosimilar approvals. However, since these guidelines when finalised will constitute the global standard for biosimilar evaluation and assist national regulatory authorities in establishing revised guidance and regulatory practice in this complex area, it was felt that further revision and clarity on certain perspectives in specific areas was necessary to dispel uncertainties arising in the current revised version. This report describes the principles in the draft 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 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)0.033
metaresearch head score (Gemma)0.062
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.062
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0050.003
Open science0.0020.006
Research integrity0.0150.010
Insufficient payload (model declined to judge)0.0240.013

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 head0.111
GPT teacher head0.378
Teacher spread0.267 · 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.

Study designNot applicable
DomainMethods
GenreOther

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

Citations5
Published2022
Admission routes1
Has abstractyes

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