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Record W2549173379 · doi:10.1111/ajd.12548

Survival rates of biological therapies for psoriasis treatment in real‐world clinical practice: A Canadian multicentre retrospective study

2016· article· en· W2549173379 on OpenAlexaffabout
Joseph E.C. Marinas, Whan B. Kim, Ali Shahbaz, Judy Qiang, Simón Greaves, Jensen Yeung

Bibliographic record

VenueAustralasian Journal of Dermatology · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentrePublic Health OntarioHamilton Health SciencesUniversity of TorontoWomen's College HospitalMcMaster UniversityUniversity of Ottawa
Fundersnot available
KeywordsMedicineUstekinumabEtanerceptAdalimumabInfliximabInternal medicinePsoriasisLog-rank testSurvival analysisRetrospective cohort studyHazard ratioClinical trialDermatologyDiseaseConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND/OBJECTIVES: Data on biologic drug survival in real-world psoriasis treatment are limited. There is a need to evaluate long-term trends of biologic use outside the realm of clinical trials. METHODS: A multicentre chart review was conducted with patients' data from September 2005 to September 2014. Kaplan-Meier plot analysis was used to determine 5-year drug survival rates. A log-rank test was used to compare the rates of drug survival between the studied biologics. RESULTS: For the 398 patients and 545 treatment series analysed, 1, 2, 3, 4 and 5-year survival rates were 0.826, 0.687, 0.563, 0.475 and 0.420 with etanercept; 0.804, 0.648, 0.553, 0.508 and 0.508 with adalimumab; 0.838, 0.664, 0.554, 0.485 and 0.382 with infliximab; and 0.914, 0.856, 0.800, 0.755 and 0.755 with ustekinumab, respectively. A statistically significant difference was seen between ustekinumab and the other three biologics. CONCLUSION: A progressive decrease in treatment adherence was seen with all four biologics, as expected, but the survival rate of ustekinumab was highest.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.066
GPT teacher head0.364
Teacher spread0.298 · 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 designObservational
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

Citations22
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueAustralasian Journal of DermatologySame topicPsoriasis: Treatment and PathogenesisFrench-language works237,207