MEFV Mutations in IBD Patients: A Systematic Review and Meta- analysis
Bibliographic record
Abstract
BACKGROUND AND AIMS: Several studies have suggested that mutations in MEFV, the gene responsible for familial Mediterranean fever (FMF), are frequently detected in inflammatory bowel disease (IBD) patients. We aimed to provide further evidence regarding a potential correlation between MEFV gene mutations and IBD by identifying all relevant studies and analyzing their results. METHODS: EMBASE, PubMed/MEDLINE, and Google Scholar were used to identify all studies that published until January 2021 and reported MEFV mutation patterns in patients with ulcerative colitis (UC), Crohn's disease (CD) and indeterminate colitis (IC) with or without a control group. The Newcastle-Ottawa quality assessment scale was used to appraise the quality of the included studies. RESULTS: Thirteen observational studies, including 937 patients and 977 controls, were analyzed. MEFV mutation rate in IBD patients was 0.238 (95%CI: 0.209-0.270; I 2 =95%); MEFV mutated alleles were more frequent in IBD patients when compared with controls (p=0.03 for UC, p=0.01 for CD and IC). Subgroup analysis indicated that MEFV mutations were increased in patients with IC when compared with UC and CD (I 2 =91%, p<0.001). Patients with extra-intestinal manifestations and pancolitis had 2.57 (95%CI 1.07-6.14; p=0.03) and 2.02 (95%CI: 1.01-4.04, P=0.049) odds ratios to carry MEFV mutant genotypes, respectively. Exon 10 mutations had the most serious impact. No source of heterogeneity was detected. CONCLUSIONS: MEFV mutations are common in IBD and are linked with the presence of extra-intestinal manifestations and pancolitis. Further research to assess the clinical significance and evolutionary significance of MEFV mutations in IBD patients is warranted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.022 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".