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S0483 Cytokine Gene Polymorphisms in Irritable Bowel Syndrome vs Inflammatory Bowel Disease: A Network Meta-Analysis

2020· article· en· W3094254796 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe American Journal of Gastroenterology · 2020
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsnot available
Fundersnot available
KeywordsIrritable bowel syndromeMedicineInflammatory bowel diseaseOdds ratioInternal medicineMeta-analysisGastroenterologyDiseaseCase-control studyCytokineUlcerative colitisGenotypeImmunologyGeneGenetics

Abstract

fetched live from OpenAlex

INTRODUCTION: Cytokines are imbalanced in irritable bowel syndrome (IBS) and polymorphisms of cytokine-encoding genes may alter the risk of developing IBS. Whether IBS and inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn’s disease (CD), are separate entities or are on a spectrum with overlap is a question which has not been sufficiently explored. This study aimed to understand whether cytokine gene polymorphisms which are observed in IBS are also associated with IBD. METHODS: We designed a network meta-analysis to compare the distribution of three cytokine gene polymorphisms that have been more frequently studied in IBS and IBD: IL-10 (-1082GA), IL6 (-174GC), and TNF-α (-308GA). PubMed and Embase were searched for studies on the distribution of these polymorphisms in IBS and IBD vs. control. NetMetaXL (CADTH, Ottawa, Canada) was used for conducting this Bayesian network meta-analysis. Vague prior <0.5 suggested lower heterogeneity where fixed effects model was used. Odds ratio (OR) with 95% credible intervals [95% Cr.I.]. was used for the comparisons. RESULTS: Ten studies on IBS vs. controls, one on IBS vs. IBD vs. controls, and thirty-nine comparing IBD vs. controls, were included. The high producer IL-10 (-1082GG) genotype was less frequent in IBS vs. the three other groups: Controls 0.66 [0.50–0.88], UC 0.66 [0.47–0.91], and CD 0.72 [0.52–0.98]; while the intermediate producer IL-10 (-1082GA) was more frequently observed in IBS vs. Controls and UC. When comparing the low producer IL-10 (-1082AA) genotype in IBS with either IBD groups or Controls, no significant difference was observed, while CD had a lower frequency of IL-10 (-1082AA) vs. Controls. The high producer TNF-α (-308AA) was similarly distributed in IBS vs. other groups and was less frequent in Controls vs. UC: 0.68 [0.46–0.99]. TNF-α (-308 GG and GA) was similar among the study groups. IL6 (-174GC) was less frequent in IBS vs. CD: 0.73 [0.55–0.98]; and in UC vs. CD: 0.69 [0.53–0.89]. The high producer IL6 (-174GG) was less frequent in CD vs. UC: 0.73 [0.56–0.95]; while no difference was observed in IBS vs. other groups. CONCLUSION: IL-10 (-1082GA) has a more prominent role than TNF-α (-308GA) and IL6 (-174GC) in the pathogenesis of IBS and may distinguish IBS from IBD. There is a shift toward high producer pro-inflammatory TNF-α (-308AA) and IL6 (-174GG) in UC, distinguishing it from the other groups.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.023
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.260
Teacher spread0.237 · 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