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S119 Diagnostic Transition from Ulcerative Colitis to Crohn’s Disease: A Single-Center Retrospective Study

2024· article· en· W4405192561 on OpenAlexaboutno aff
E Contreras Aviles, Ariadna Guinea Lagunes, Silvia Maria Prado, Raquel Yazmin López Perez, Juan Antonio Villanueva Herrero, Billy Jiménez Bobadilla, Jorge Luis De León Rendón

Bibliographic record

VenueThe American Journal of Gastroenterology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineUlcerative colitisSingle CenterCrohn's diseaseRetrospective cohort studyGastroenterologyInternal medicineCrohn diseaseDisease

Abstract

fetched live from OpenAlex

Background: Differentiating between ulcerative colitis (UC) and Crohn’s disease (CD) can be clinically challenging. Established diagnostic criteria for inflammatory bowel disease (IBD) are based on clinical, endoscopic, radiographic, and histological findings. However, some patients initially diagnosed with UC may later present characteristics typical of CD, necessitating a diagnostic revision. Population studies from Scandinavia have reported diagnostic transition rates from UC to CD ranging from 3% to 14% over a 5-year follow-up period. Despite the overlap in the management of UC and CD, an accurate diagnosis is essential for optimizing treatment strategies, surgical interventions, and eligibility for clinical trials. The aim of this study is to determine the frequency of diagnostic migration from UC to CD and to describe the clinical and demographic characteristics of patients who experienced this transition. Methods: This retrospective study was conducted at the IBD of the General Hospital of Mexico “Dr. Eduardo Liceaga.” Medical records of 164 patients diagnosed with UC were reviewed. Patients who experienced a diagnostic transition to CD, confirmed through clinical, endoscopic, radiological, and histological findings consistent with CD, between April 2023 and April 2024, were identified. Data collected included demographic and clinical information such as age, gender, Montreal classification, treatments received, and surgical history. Statistical analysis was performed using SPSS software version 19, applying descriptive statistics to calculate frequencies and means with standard deviation for the clinical and demographic characteristics. Results: Of the 164 UC patients, 5 (3.05%) experienced a diagnostic transition to CD during the follow-up period. The mean duration from UC diagnosis to diagnostic transition was 2.2±1.6 years. The gender distribution was 3 males (60%) and 2 females (40%). The mean age at initial UC diagnosis was 42.46 ± 14.13 years, and at the time of re-evaluation and transition to CD was 44.4 ± 14.13 years. Prior to the transition, all patients had UC classified as E3 according to the Montreal classification. Three patients (60%) had not undergone prior surgery, while 1 had a 2-stage total proctocolectomy with ileal pouch-anal anastomosis and another had a total colectomy with ileostomy. The mean number of hospitalizations before the diagnostic transition was 1.5 ± 0.5. Prior to the transition, 3 patients were on biological therapy, and 2 were on conventional therapy. Following the diagnosis of CD, most patients were classified as A2 (80%), L3 (60%), and B2 (60%) according to the Montreal classification. One patient (20%) required ileal resection with ileostomy. Conclusions: In this study, 3.05% of patients initially diagnosed with UC were reclassified to CD within an average of 2.2±1.6 years. These findings underscore the importance of thorough follow-up with periodic re-evaluations to enhance management and outcomes for IBD patients.

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)0.003
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.006
GPT teacher head0.239
Teacher spread0.233 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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