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Record W3191058484 · doi:10.3389/fphar.2021.711361

Comparison of BRICS-TM Countries' Biosimilar Regulatory Frameworks With Australia, Canada and Switzerland: Benchmarking Best Practices

2021· article· en· W3191058484 on OpenAlex
Hasumati Rahalkar, Alan Sheppard, Sam Salek

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFrontiers in Pharmacology · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsBiosimilarBenchmarkingChinaMandateBusinessAccountingRegional scienceMedicinePolitical scienceMarketingGeography

Abstract

fetched live from OpenAlex

Objectives: The aim of this study was to identify, compare and evaluate regulatory requirements for the biosimilar development and review processes in BRICS-TM (Brazil, Russia, India, China, South Africa, Turkey, Mexico) countries with mature regulatory systems of Australia, Canada, Singapore and Switzerland. It is hoped that this benchmark study provides an opportunity for BRICS-TM agencies to identify the key areas for improvement in their regulatory processes. Materials and Methods: A semi-quantitative questionnaire was developed covering the different criteria used in biosimilar development and registration process. Eleven regulatory agencies from BRICS-TM and ACSS (Australia, Canada, Switzerland and Singapore) countries were invited to take part in this study. Data processing and analysis was carried out using descriptive statistics for quantitative data and content analysis to generate themes for qualitative data. Results and Discussions: Nine of the 11 regulatory agencies recruited for the study completed the questionnaire. China and Singapore did not meet the deadline due to lack of resources. The organisational structure of BRICS-TM agencies revealed support from external assessors by most of these agencies in comparison with ACSS agencies. There was absence of reliance approach and participation in harmonisation activities across most BRICS-TM agencies. Despite alignment over biosimilarity, the mandate for in vivo non-clinical studies and additional local clinical studies in some of the BRICS-TM countries illustrates a lack of effective implementation of a step-wise approach. Adopting flexible regulatory standards in the sourcing of a RBP (Reference Biologic Product) by BRICS-TM similar to ACSS, will facilitate cost-effective development of biosimilar products. Conclusions: Comparative assessment of the biosimilar regulatory framework of BRICS-TM with ACSS agencies reveals the scope for enhancing efficiency of the regulatory approval process. To achieve this, BRICS-TM agencies should consider relying on reference agencies for alternative review mechanisms such as abridged or verification models, streamlined processes for providing scientific advice to developers and for waiving local clinical studies in-lieu of advanced scientific data.

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.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.728
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.035
GPT teacher head0.358
Teacher spread0.323 · 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