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Record W2947748629 · doi:10.1016/j.jaad.2019.05.063

A randomized phase 3b/4 study to evaluate concomitant use of topical ivermectin 1% cream and doxycycline 40-mg modified-release capsules, versus topical ivermectin 1% cream and placebo in the treatment of severe rosacea

2019· article· en· W2947748629 on OpenAlexaff
Martin Schaller, Lajos Kemény, Blanka Havlíčková, J. Mark Jackson, Marcin Ambroziak, Charles Lynde, Melinda Gooderham, Éva Remenyik, J.Q. Del Rosso, Jolanta Węgłowska, Rajeev Chavda, Nabil Kerrouche, Thomas Dirschka, Sandra Marchese Johnson

Bibliographic record

VenueJournal of the American Academy of Dermatology · 2019
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsSKiN HealthUniversity of Toronto
FundersSanofi GenzymeAlmirallLEO PharmaGaldermaBayer HealthCareAllerganEli Lilly and CompanyRegeneron PharmaceuticalsBiofronteraCelgeneSanofi
KeywordsIvermectinMedicineDoxycyclineConcomitantPlaceboDermatologyRandomized controlled trialPharmacologySurgeryAntibioticsVeterinary medicineMicrobiologyPathology

Abstract

fetched live from OpenAlex

BackgroundRandomized controlled studies of combination therapies in rosacea are limited.ObjectiveEvaluate the efficacy and safety of combining ivermectin 1% cream (IVM) and doxycycline 40-mg modified-release capsules (ie, 30-mg immediate-release and 10-mg delayed-release beads) (DMR) versus IVM and placebo for treatment of severe rosacea.MethodsThis 12-week, multicenter, randomized, investigator-blinded, parallel-group comparative study randomized adult subjects with severe rosacea (Investigator's Global Assessment [IGA] score, 4) to receive either IVM and DMR (combination arm) or IVM and placebo (monotherapy).ResultsA total of 273 subjects participated. IVM and DMR displayed superior efficacy in reduction of inflammatory lesions (–80.3% vs –73.6% for monotherapy [P = .032]) and IGA score (P = .032). Combination therapy had a faster onset of action as of week 4; it significantly increased the number of subjects achieving an IGA score of 0 (11.9% vs 5.1% [P = .043]) and 100% lesion reduction (17.8% vs 7.2% [P = .006]) at week 12. Both treatments reduced the Clinician's Erythema Assessment score, stinging/burning, flushing episodes, Dermatology Life Quality Index score, and ocular signs/symptoms and were well tolerated.LimitationsThe duration of the study prevented evaluation of potential recurrences or further improvements.ConclusionCombining IVM and DMR can produce faster responses, improve response rates, and increase patient satisfaction in cases of severe rosacea. Randomized controlled studies of combination therapies in rosacea are limited. Evaluate the efficacy and safety of combining ivermectin 1% cream (IVM) and doxycycline 40-mg modified-release capsules (ie, 30-mg immediate-release and 10-mg delayed-release beads) (DMR) versus IVM and placebo for treatment of severe rosacea. This 12-week, multicenter, randomized, investigator-blinded, parallel-group comparative study randomized adult subjects with severe rosacea (Investigator's Global Assessment [IGA] score, 4) to receive either IVM and DMR (combination arm) or IVM and placebo (monotherapy). A total of 273 subjects participated. IVM and DMR displayed superior efficacy in reduction of inflammatory lesions (–80.3% vs –73.6% for monotherapy [P = .032]) and IGA score (P = .032). Combination therapy had a faster onset of action as of week 4; it significantly increased the number of subjects achieving an IGA score of 0 (11.9% vs 5.1% [P = .043]) and 100% lesion reduction (17.8% vs 7.2% [P = .006]) at week 12. Both treatments reduced the Clinician's Erythema Assessment score, stinging/burning, flushing episodes, Dermatology Life Quality Index score, and ocular signs/symptoms and were well tolerated. The duration of the study prevented evaluation of potential recurrences or further improvements. Combining IVM and DMR can produce faster responses, improve response rates, and increase patient satisfaction in cases of severe rosacea.

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 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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.038
GPT teacher head0.361
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations69
Published2019
Admission routes1
Has abstractyes

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