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Record W2999178210 · doi:10.1093/ecco-jcc/jjz203.529

P400 Understanding the impact of TNF-α antagonists on the severity of non-melanoma skin cancer in inflammatory bowel disease and the consequences for therapy

2020· article· en· W2999178210 on OpenAlexaffabout
Cassandra Townsend, Reena Khanna, Aze Wilson

Bibliographic record

VenueJournal of Crohn s and Colitis · 2020
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineSkin cancerPopulationInflammatory bowel diseaseDiseaseIncidence (geometry)Internal medicineCancerDermatologySurgery

Abstract

fetched live from OpenAlex

Abstract Background Non-melanoma skin cancer (NMSC) accounts for at least 40% of all new cancer diagnoses in Canada annually and presents a significant cost to the health care system due to the volume of cases. The incidence of NMSC in patients with inflammatory bowel disease (IBD) is higher when compared with the general population. Generally, in a non-IBD population, the risk of further NMSC progression is low; however, little data exists that highlights differences in the clinical course of patients diagnosed with NMSC who have IBD and are TNF-α antagonist exposed. It is unclear if TNF-α antagonist therapy should be discontinued in this patient population. Our goal is to determine whether TNF-α antagonist exposure in IBD is associated with a high-risk NMSC presentation at diagnosis, as defined by the National Comprehensive Cancer Network (NCCN) stratification. Our secondary objectives include the presence of positive margins following resection, presence of metastatic disease on initial presentation, the requirement of additional therapy to treat NMSC, number of patients who had TNF-α antagonist therapy discontinued following the diagnosis of NMSC and number of individuals with recurrent NMSC. Methods Four hundred and twenty-four IBD patients seen at London Health Sciences Centre were reviewed. We have identified 22 patients who were diagnosed with NMSC. Twelve patients had a pre-NMSC TNF-α antagonist exposure while 10 patients who developed an NMSC and had no TNF-α antagonist exposure prior to NMSC diagnosis. Results Preliminary results of the primary outcome demonstrate that 50% (6/12) of patients who have been exposed to TNF antagonist therapy presented with a high-risk NMSC lesion at diagnosis compared with 40% (4/10) who were not exposed (OR 5.16, 95% CI 0.47–57.00; p = 0.181). Preliminary results of the secondary outcomes suggest that 25% (3/12) of patients exposed to TNF-α antagonist had positive margins compared with 0% (0/10) of patients who were not exposed. No patients in either group presented with metastatic disease. Twenty-five per cent (3/12) of patients in the exposed group received more advanced treatment compared with 0% (0/10) in the non-exposed group. Eight per cent (1/12) of patients in the TNF-α antagonist group had their IBD therapy changed from a TNF-α antagonist to an alternative biologic class, and 17% of patients (2/12) in the TNF-α antagonist group had recurrent NMSC lesions. Conclusion In conclusion, preliminary results suggest that TNF-α antagonist exposure may be associated with higher risk NMSC lesion at presentation. Further expansion of the sample size is required to explore these hypotheses further.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.245

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 studies0.0000.001
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 head0.024
GPT teacher head0.294
Teacher spread0.270 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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