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Record W4410417696 · doi:10.1007/s13555-025-01426-x

Assessing Long-Term Pain Reduction with Secukinumab in Moderate to Severe Hidradenitis Suppurativa: A Post Hoc Analysis of the SUNSHINE and SUNRISE Phase 3 Trials

2025· article· en· W4410417696 on OpenAlexaff
John R Ingram, Jacek C. Szepietowski, Łukasz Matusiak, Georgios Kokolakis, Magdalena B. Wozniak, Christine-Elke Ortmann, Angela Llobet Martinez, Shoba Ravichandran, Ivette Alarcón, Christelle C Pieterse, Maryam Shayesteh Alam, D. Ioannides, Alexa B. Kimball

Bibliographic record

VenueDermatology and Therapy · 2025
Typearticle
Languageen
FieldMedicine
TopicHidradenitis Suppurativa and Treatments
Canadian institutionsBarrie Urology Group
FundersNovartis PharmaIncyteBeth Israel Deaconess Medical CenterSanofiNovartisPfizerEli Lilly and CompanyBristol-Myers Squibb
KeywordsHidradenitis suppurativaPost-hoc analysisMedicineSecukinumabTerm (time)Post hocSunburnDermatologyInternal medicineDisease

Abstract

fetched live from OpenAlex

INTRODUCTION: Hidradenitis suppurativa (HS) is a chronic, painful skin disease associated with a high disease burden. Disease-related pain is frequently reported as the most troublesome symptom of HS. The SUNSHINE and SUNRISE phase 3 trials previously reported that secukinumab improved control of pain in patients with moderate to severe HS. The objective of this analysis was to evaluate the impact of secukinumab on multiple aspects of pain in patients with HS from SUNSHINE and SUNRISE. METHODS: Patients were randomised to receive secukinumab 300 mg every 2 (SECQ2W) or 4 weeks (SECQ4W), or placebo until week 16. At week 16, the placebo group switched to receive SECQ2W (placebo-SECQ2W) or SECQ4W (placebo-SECQ4W), whereas the secukinumab groups continued their treatment, until week 52. Pain was assessed using the Patient's Global Assessment of skin pain‒at worst on a continuous numeric rating scale (NRS) through week 52. Quartiles were used to categorise pain severity groups based on baseline NRS scores (NRS ≤ 3.3; NRS > 3.3 to ≤ 5.4; NRS > 5.4 to ≤ 7.2; NRS > 7.2). Additional assessments included quality of life (QoL) and pain medication use. RESULTS: At week 16, a greater mean (standard deviation) absolute change from baseline in skin pain was observed for patients treated with secukinumab [SECQ2W (- 1.35 (2.16)); SECQ4W (- 1.05 (2.02))] versus placebo [- 0.47 (2.07)]. In the SECQ2W and SECQ4W groups, in patients with NRS > 7.2 at baseline, 20.0% and 12.7% had NRS ≤ 3.3 at week 16, respectively. This improvement in pain was maintained through week 52. Moreover, patients in the NRS ≤ 3.3 category generally experienced better QoL. The proportion of patients reporting pain medication use was generally reduced at weeks 16 and 52 versus baseline in the secukinumab groups. CONCLUSION: This analysis highlights the sustained benefits of secukinumab in reducing pain in patients with moderate to severe HS. These pain reductions were associated with QoL improvements. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03713619 (SUNSHINE) and NCT03713632 (SUNRISE).

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)0.013
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.013
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.031
GPT teacher head0.361
Teacher spread0.330 · 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 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

Citations2
Published2025
Admission routes1
Has abstractyes

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