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Record W2999632062 · doi:10.1093/ecco-jcc/jjz203.861

P733 The influence of concomitant familial Mediterranean fewer on Crohn’s disease course: Data from an FMF endemic area

2020· article· en· W2999632062 on OpenAlexaboutno aff
İlhami Yüksel, Serta Kılınçalp, Yusuf Coşkun, Hakan Akıncı, Mevlüt Hamamcı

Bibliographic record

VenueJournal of Crohn s and Colitis · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsnot available
Fundersnot available
KeywordsFamilial Mediterranean feverMEFVConcomitantMedicineInternal medicineDiseaseGastroenterologyAbdominal painCrohn's diseaseRegimenImmunologyGene mutationGeneMutation

Abstract

fetched live from OpenAlex

Abstract Background Crohn’s disease (CD) and Familial Mediterranean fever (FMF) are both inflammatory disorders characterised by recurrent abdominal pain and fever attacks. Mutations of Mediterranean (MEFV) gene appear to be associated with stricturing behaviour and extraintestinal manifestations of CD. Further clinical studies regarding progression of CD in coexistence with FMF is still required. The aim of this study was to evaluate the influence of concomitant FMF in CD patients on the course of the CD in FMF endemic area. Methods Total 210 adult patients who had diagnosed with CD with or without FMF between November 2006 and April 2019 were respectively examined. FMF diagnoses were based on Tel-Hashomer criteria. The Montreal classification was used to define location and behaviour of CD. CD patients were divided into two groups FMF positive and FMF negative. Severity of CD was assessed by the need for hospitalisation related to CD, whether biological therapy was received and/or whether surgery was undergone due to CD. All demographic features, MEFV mutations, location/behaviour of disease, and extraintestinal manifestations were analysed retrospectively. Results In the present study, 8 (3.8%) of the total 210 CD patients have concomitant FMF. Mean follow-up time in CD-FMF was 59.55 months and CD-non-FMF was 60.98 months. CD patients with or without FMF showed similar demographic features including age, sex, smoking behaviour, disease location, behaviour, and treatment regimen in maintenance of the remission. Regarding extraintestinal manifestations, only peripheral arthritis was found significantly higher in CD-FMF patients (n = 3, 37.5%) compared CD-non-FMF patients (n = 21, 10.4%). In the CD-FMF patients, a result of MEFV mutation gene analysis was found in medical records 6 patients. Of those, 2 had homozygote MEFV mutation, 2 had heterozygote MEFV mutation and 2 without any MEFV mutations. In CD-FMF group, percentage of patients on biological therapy (n = 4, 50%) was significantly higher than CD-non FMF group (n = 24, 11.9%) (p = 0.012). Steroid dependence and hospitalisation in CD-FMF (n = 3, 37.5% and n = 5, 62.5%) group were relatively higher than CD-non-FMF (n = 83, 41.1%) group, but not statistically significant. The percentage of CD-FMF patients who underwent intestinal surgery (n = 1, 12.5%) was similar to that of CD-non-FMF (n = 33, 16.3%). Conclusion In the current study, the prevalence of FMF in CD patients was detected 3.8% in FMF endemic area. The group of patients on biological therapy in CD-FMF patients was significantly higher than CD-non-FMF patients. Frequency of hospitalisation in CD-FMF patients was relatively higher than CD-non-FMF patients. Our findings indicate that concomitant FMF in CD patients may have a negative effect on the course of CD.

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)0.001
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.023
GPT teacher head0.275
Teacher spread0.252 · 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
Published2020
Admission routes1
Has abstractyes

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