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Record W2505735841 · doi:10.18433/j3v89w

Organogels in Drug Delivery: A Special Emphasis on Pluronic Lecithin Organogels

2016· article· en· W2505735841 on OpenAlexvenueno aff
Hashem O. Alsaab, Sindhu Prabha Bonam, Dherya Bahl, Pallabita Chowdhury, Kenneth Alexander, Sai H. S. Boddu

Bibliographic record

VenueJournal of Pharmacy & Pharmaceutical Sciences · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Chemistry and Fat Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTransdermalPoloxamerDrug deliveryCompoundingLecithinBioavailabilityPharmacologyDrugMedicineChemistryNanotechnologyMaterials scienceChromatographyOrganic chemistryPolymer

Abstract

fetched live from OpenAlex

Organogels have emerged as an alternative carrier for small and macromolecules via transdermal, oral, rectal and ophthalmic routes. Pluronic lecithin organogels (PLO gels) are lecithin-based organogels widely used in compounding pharmacies as a vehicle for enhancing the transdermal permeability of many therapeutic drugs. However, the scientific and systematic evidence in support of how well PLO gels help in transdermal delivery is scanty. Recently, some clinical studies have reported nearly complete lack of bioavailability of certain topically administered drugs from PLO gels. The present review aims at summarizing gels and organogels, with a focus on the use of PLO gels in transdermal drug delivery. A special emphasis is placed on controversies looming over the use of PLO gels as a delivery platform for drugs via transdermal route. This article is open to POST-PUBLICATION REVIEW. Registered readers (see "For Readers") may comment by clicking on ABSTRACT on the issue's contents page.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.045
GPT teacher head0.312
Teacher spread0.266 · 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 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

Citations40
Published2016
Admission routes1
Has abstractyes

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