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Record W4391162797 · doi:10.1093/ecco-jcc/jjad212.0503

P373 Primary sclerosing cholangitis associated with inflammatory bowel disease: clinical characteristics of patients from reference centers in Brazil

2024· article· en· W4391162797 on OpenAlexaboutno aff
Bruno Caldin da Silva, Júlio Maria Fonseca Chebli, S D C Ferreira, L A Chebli, Rogério Khalil Akkari Evangelista, Tarsila Campanha da Rocha Ribeiro, Severino R M de Alencar, Margarida Borges, G A S Lima, Hélio Rzetelna, Caio César Furtado Freire, José Miguel Luz Parente

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsnot available
Fundersnot available
KeywordsPrimary sclerosing cholangitisInflammatory bowel diseaseMedicineGastroenterologyInternal medicineInflammatory Bowel DiseasesDisease

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory bowel disease (IBD) and primary sclerosing cholangitis (PSC) are closely associated pathological entities that, when present in combination, create a phenotypically different disease, referred to as PSC-IBD. The occurrence of PSC complicating IBD seems to vary depending on the studied population. The aim of this study was to describe the clinical profile of patients with PSC-IBD in reference centers in Brazil. Methods Descriptive cross-sectional study in 7 tertiary centers. Patients with PSC and IBD were identified. Data were collected from patients' charts. The following variables were studied: age, age at diagnosis of IBD and PSC, type of IBD, Montreal classification, medications used, occurrence of colorectal cancer and dysplasia, colectomy and liver complications. The study was approved by the ethics and research committee. Results Ninety-three patients were included. The mean age of the patients was 43,8 years (range 17 to 73). 63 patients were male (67.7%). UC was more frequent 74.2% (N=69). The mean age at diagnosis of IBD and PSC was 31.4 years (range 6 to 67) and 35.6 years (range 8 to 72), respectively. The diagnosis of PSC preceded that of IBD in only 15 (16.1%) cases. Among patients with UC, the majority (61/69) had extensive colitis (88.4%), and 47.8% (33/69) had already used at least one biological therapy. Only 9 (13%) patients with UC required colectomy. Regarding CD, colon involvement occurred in 21 (87.5%) patients and 20 (83.3%) needed to use at least one biologic. Just 3 CD patients (12.5%) had isolated disease in the small intestine. In our study, liver cirrhosis occurred in 20 (21,5%) cases of the studied population, and 13 (14%) patients required liver transplantation. Fourteen (15,1%) IBD patients had dysplasia or colorectal cancer (CRC). Use of biological therapy was more frequent in patients with CD than in those with UC (83.3% vs 47.8%; p=0.002). There was a trend towards a higher occurrence of CRC in the UC population (p=0.08). Conclusion In our studied PSC-IBD population, UC was more common than CD. Furthermore, we observed that in this subgroup of IBD with PSC, UC presented a more severe phenotype, with a superior occurrence of extensive colitis and need for biological therapy. In CD, most patients have colonic involvement. Interestingly, we observed a greater need to use at least one biologic in CD patients (p=0.002), as well as the need to use multiple biologics compared to UC patients (p=0.009). Additionally, there was a trend towards greater occurrence of CRC in UC patients. The rates of occurrence of dysplasia and liver cirrhosis in our casuistic emphasize the demand for more intensive follow-up in patients with IBD and PSC.

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)0.000
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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.018
GPT teacher head0.275
Teacher spread0.257 · 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
Published2024
Admission routes1
Has abstractyes

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