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Record W4391163202 · doi:10.1093/ecco-jcc/jjad212.0550

P420 Natural history of intra-abdominal inflammatory masses (phlegmons) in Crohn’s disease

2024· article· en· W4391163202 on OpenAlexaboutno aff
Arafa Djalal, Priya Sehgal, Smita Shenoy, Constance A. Benson, Palak Rajauria, Manasi Agrawal, Jean‐Frédéric Colombel, James D. Lewis, Ryan C. Ungaro

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldMedicine
TopicDiverticular Disease and Complications
Canadian institutionsnot available
Fundersnot available
KeywordsCrohn's diseaseMedicineNatural historyDiseasePhlegmonInflammatory bowel diseasePathologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

Abstract Background Intra-abdominal inflammatory masses (phlegmons) are a feature of penetrating Crohn’s disease (CD). However, there are few data on the natural history and outcomes of inflammatory masses in CD. We aimed to describe clinical outcomes and predictors of surgery in individuals with CD and intra-abdominal inflammatory masses (IAIM). Methods We conducted a multi-center retrospective cohort study. Patients with a diagnosis of CD or inflammatory bowel disease unclassified (IBD-U) and a finding of phlegmon, phlegmonous change or inflammatory mass on cross-sectional imaging with IV contrast (MR or CT) at two tertiary care centers were included between July 2006 and April 2023. Data collected included demographics, clinical characteristics, Montreal CD classification, treatments at the time of and after IAIM diagnosis, and size and location of the IAIM. Primary outcome was surgery defined as any CD-related resection or surgical drainage. Bivariate comparisons between patients who did or did not undergo surgery were performed. Multivariable logistic regression was performed with backward selection of variables to identify those associated with surgery. Results A total of 100 patients were included, and comparison between those who did or did not undergo surgery is given in Table 1. Most were white (80%), 44% were women, and 12% were current smokers. A majority had ileocolonic disease location (77%) and 50% were on a biologic at time of diagnosis. Mean size of IAIM was 3.4 cm and the majority (72%) were located adjacent to small bowel. Radiologic evidence of intra-abdominal fistula was seen in 40%, and 30% of patients had a stricture adjacent to the IAIM. A large proportion required hospitalization (75%) and received intravenous antibiotics (64%); 13% progressed to an abscess, and the mean (SD) time to abscess was 108 (119.4) days. The majority (65%) underwent surgery, with a mean (SD) time to surgery of 59 (97.8) days. Seven patients developed sepsis, all of whom subsequently required surgery. On multivariable analysis, patients were more likely to require surgery if there was a concomitant stricture (aOR = 3.12, 95% CI 1.01 – 11.9) and less likely to require surgery if treated with steroids (aOR = 0.15, 95% CI 0.03 – 0.61). Antibiotic use was not associated with surgery (aOR 1.22, 95% CI 0.53 – 2.81) nor was IAIM size. Conclusion In this large retrospective cohort, most intra-abdominal inflammatory masses required surgery, particularly if there was a concomitant stricture. Patients treated with steroids were less likely to require surgery though this may be confounded by severity of disease.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.011
GPT teacher head0.252
Teacher spread0.241 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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