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Record W4406702683 · doi:10.1093/ecco-jcc/jjae190.0905

P0731 Analysis of the short-term efficacy and risk factors of ustekinumab combined with surgical intervention in the management of perianal fistulizing Crohn's Disease: a single center real-world result

2025· article· en· W4406702683 on OpenAlexaboutno aff
Ke Ma, Yi Li, Fuzhong Weng, Ye Yao, Chong Wang

Bibliographic record

VenueJournal of Crohn s and Colitis · 2025
Typearticle
Languageen
FieldMedicine
TopicDiverticular Disease and Complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUstekinumabCrohn's diseaseSingle CenterCenter (category theory)Term (time)Intervention (counseling)Inflammatory bowel diseaseSurgeryDiseaseGeneral surgeryAdalimumabInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background The aim of this study was to evaluate the short-term clinical efficacy and identify potential risk factors for Ustekinumab (UST) in conjunction with surgical intervention among patients diagnosed with perianal fistulizing Crohn's Disease (pfCD), utilizing MRI healing as the gold standard. Methods The study was conducted retrospectively from July 2021 to July 2024, including all patients diagnosed with pfCD who underwent surgical intervention combined with UST treatment and completed a 24-week follow-up. The clinical data of patients and perianal fistula characteristics, were collected. The primary efficacy evaluation indicator is the clinical healing rate and MRI healing rate after treatment. The secondary efficacy indicators included the CDAI, PDAI, CRP, ESR, and FC. Additionally, the SES-CD and Van Assche score were utilized, along with Wexner incontinent score, to evaluate effectiveness prior to treatment and at 24 weeks post-treatment. The independent risk factors induced MRI healing after treatment were determined through multivariate analysis using binary logistic regression analysis. Results A total of 66 patients were included in this study. According to the Montreal classification, group A1, A2 and A3 consisted of 3 patients (4.5%), 59 patients (89.4%), and 4 patients (6.1%) respectively. In terms of disease location, 26 patients (39.4%) were classified as L1, 9 patients (13.6%) as L2, and 31 patients (47.0%) as L3. Additionally, 50 patients (75.8%) presented with B1 while the remaining 16 patients (24.2%) had B2. Four patients (6.1%) presented with simple anal fistulas, while complex anal fistulas were observed in 62 cases (93.9%). At 24-week follow-up, the clinical healing rate was 95.5% (63/66) with an average healing time of 8.58 ± 4.27 weeks. The MRI healing rate demonstrated a significant outcome of 68.2% (45/66). Additionally, there was a notable reduction in patients' CDAI and PDAI scores, as well as CRP, ESR, FC concentrations, Van Assche scores, SES-CD and Wexner scores at 24-week compared to baseline levels (p < 0.001). The multivariate logistic regression analysis revealed that the presence of perianal abscess (OR = 0.05, 95%CI: 0.004~0.052, p = 0.014) and a high baseline Van Assche score (OR = 0.48, 95%CI: 0.252~0.901, p = 0.023) were identified as independent risk factors for MRI healing in patients with pfCD. Meanwhile, no instances of anal function problems were reported during the follow-up period. Conclusion The combination of UST and surgical intervention demonstrates favorable short-term clinical efficacy and safety in the management of patients with pfCD. Notably, the presence of perianal abscess and a high Van Assche score independently contribute to the risk of incomplete MRI healing.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.288
Teacher spread0.272 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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