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Good Manufacturing Practice Regulations for Probiotic Based Pharmaceuticals: Current Scenario and Suggestive Recommendations

2015· article· en· W2766000227 on OpenAlexaboutno aff
Malika Arora, Ashish Baldi

Bibliographic record

VenueApplied Clinical Research Clinical Trials and Regulatory Affairs · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProbiotics and Fermented Foods
Canadian institutionsnot available
Fundersnot available
KeywordsProbioticContext (archaeology)Good manufacturing practiceBusinessQuality (philosophy)ScopusProduct (mathematics)Risk analysis (engineering)Control (management)MarketingMEDLINEComputer sciencePolitical scienceSupply chainBiology

Abstract

fetched live from OpenAlex

Background: Usage of probiotic based products has shown a rapid and worldwide growth due to their unlimited therapeutic benefits. Though probiotics are being exploited since ancient times but now a days major issue of concern is their emergence as drugs. In concern to their exponentially increasing market value, their quality, safety and efficacy related affairs are becoming significantly important not only for the consumers rather for manufacturers as well as regulators. As per ongoing scenario, regulatory guidelines stipulating requirements of Good Manufacturing Practice (GMP) are not yet covered properly by any of the country except canada and hence regulatory regimes seems to be highly unsatisfactory. Methods: GMP issues related to probiotic based products were reviewed using secondary sources i.e. electronic databases including Google Scholar, Scopus, Pubmed along with open online resources from journals, market reports, proceedings, books and web pages of relevant regulatory authorities. Later various parameters were critically analyzed for their merits and demerits and future recommendations have been suggested. Results: This paper has been designed to outlook the current regulatory aspects specifically in context to GMP of the probiotic based drug products and to discuss various problematic issues of concern. Above all, the prime aim of the article is to recommend suggestive consolidations to be followed for the manufacturing of the probiotic products. Conclusion: Stringently controlled GMP therefore will remain a most important tool to ensure prescribed standards as well as adequately adopted control measures for meeting finished probiotic products with desired and acceptable quality before their release into market. Suggested recommendations for adopting GMP in production of probiotics in this paper may act as a baseline for regulatory agencies across the globe to formulate the guidelines for the same.

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)0.042
metaresearch head score (Gemma)0.081
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.081
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.005
Science and technology studies0.0020.007
Scholarly communication0.0110.010
Open science0.0050.003
Research integrity0.0140.011
Insufficient payload (model declined to judge)0.0060.004

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 head0.638
GPT teacher head0.579
Teacher spread0.059 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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