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Record W1981953910 · doi:10.1517/17425240802647259

Intra-articular drug delivery systems: overcoming the shortcomings of joint disease therapy

2009· review· en· W1981953910 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueExpert Opinion on Drug Delivery · 2009
Typereview
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDrug deliveryMedicineTolerabilityDrugTargeted drug deliverySynovitisPharmacologyIntensive care medicineExpert opinionNanotechnologyAdverse effectArthritisInternal medicineMaterials science

Abstract

fetched live from OpenAlex

BACKGROUND: Intra-articular drug delivery is very useful for treating local disease flare-ups, synovitis and pain in joints. However, the effectiveness of drugs following intra-articular administration is limited by drug delivery issues. AIM: This review addresses critical drug delivery parameters that influence the biocompatibility, tolerability and efficacy of intra-articular administrations and offers an opinion on aspects of formulation design. METHODS: The relevant literature was reviewed, focusing on factors influencing tissue targeting, safety and effectiveness of particulate formulations. RESULTS/CONCLUSION: Therapeutic applications of novel drug delivery systems for the localized treatment of joints have lagged significantly. Future innovations in the field will require the discovery of new therapeutic agents for regional delivery, combination regimens, novel biomaterials as drug carriers and targeting carriers to specific molecules.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.312
Teacher spread0.264 · 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