MétaCan
Menu
Back to cohort
Record W4229049786 · doi:10.1080/09273948.2022.2070505

<i>Leptospermum</i> Medical Grade Manuka Honey Ointment in the Treatment of Persistent Corneal Epithelial Defect

2022· article· en· W4229049786 on OpenAlex
Waleed K. Alsarhani, Abdullah I. Almater, Majed Alkharashi

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

VenueOcular Immunology and Inflammation · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBee Products Chemical Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineManuka HoneyDermatologyOphthalmologyMicrobiologyBiology

Abstract

fetched live from OpenAlex

Background To study the efficacy of 100% Leptospermum medical grade Manuka honey ointment in persistent corneal epithelial defects (CEDs).Methods Case series.Results Case 1 was a 25-year-old female patient who presented to the cornea clinic with a persistent CED (3.5 mm), following acanthamoeba keratitis, that had failed to respond to heavy, frequent lubrication drops and ointment. Two weeks later, after starting Leptospermum honey ointment (4 times per day), the CED healed totally. Case 2 was a 48-year diabatic, single-eyed female patient who presented with a persistent CED (1.5 × 1.5 mm) that had failed to respond to heavy, frequent lubrication drops and ointment. The CED healed three weeks after starting Leptospermum honey ointment (4 times per day).Conclusions Leptospermum honey ointment can be a potential treatment for persistent epithelial defect.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.197
Teacher spread0.186 · 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