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Record W4406705102 · doi:10.1093/ecco-jcc/jjae190.0652

P0478 Peripheral blood cytokines in patients with paediatric-onset Inflammatory Bowel Disease – a systematic review and meta-analysis

2025· review· en· W4406705102 on OpenAlexaboutno aff
S Jansson, A Ehrström, Charlotte Ulrikka Rask, Johan Burisch, Michael E. Benros, Jakob Benedict Seidelin, Mikkel Malham, Vibeke Wewer

Bibliographic record

VenueJournal of Crohn s and Colitis · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseMeta-analysisPeripheral bloodPeripheralDiseaseCrohn's diseaseInflammationImmunologyInternal medicineGastroenterology

Abstract

fetched live from OpenAlex

Abstract Background Cytokines play a central role in the aetiology, disease severity and treatment of adult-onset inflammatory bowel disease (IBD)1. However, despite the aggressive phenotype reported in paediatric-onset IBD, little is known about the cytokine levels in paediatric-onset IBD. This systematic review and meta-analysis aimed to summarize findings of cytokine levels in peripheral blood in patients with paediatric-onset IBD compared to healthy controls. Methods This systematic review followed the PRISMA guidelines2 and was registered at Prospero [CRD42024579684]. A literature search was performed on the 1st of August 2024 in PubMed, EMBASE, Web of Science and Scopus. We included studies that reported levels of cytokines in plasma or serum, in patients with paediatric-onset IBD and healthy controls. To ensure a complete overview, we did not exclude studies based on patients’ treatment status. Pooled effect sizes of mean values were calculated using Hedges’ g for any cytokine reported by two or more studies. The Newcastle-Ottawa scale was used for quality assessment. Results The literature search revealed 10,110 papers (4,582 duplicates), and 5,528 articles were independently screened by two authors. Twenty-one articles met the inclusion criteria including a total of 950 patients with paediatric-onset IBD, and 481 healthy controls. Studies reported on 57 different cytokines. Meta-analysis was performed for interleukin-6 (IL-6) (12 studies, of which 7 provided mean values) and tumour necrosis factor-α (TNF-α) (7 studies, of which 2 provided mean values). Mean values of other cytokines were not provided by two or more studies, and meta-analysis could therefore not be performed. Pooled effect sizes showed increased levels of IL-6 (standardized mean difference: 1.99, 95% confidence interval: 1.15-3.26). However, the heterogeneity between studies was high (Figure 1). Levels of TNF-α did not differ between patients and controls (standardized mean difference: 0.36 95% confidence interval: -0.08-0.79). Overall, the included studies had moderate-good quality. Conclusion IL-6 was increased in the peripheral blood of patients with paediatric-onset IBD. Data on other cytokines were scarce. References 1)Neurath MF. Cytokines in inflammatory bowel disease. Nat Rev Immunol. 2014;14(5):329-342. doi:10.1038/nri3661 2)Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. Published 2021 Mar 29. doi:10.1136/bmj.n71

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)0.010
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.030
Bibliometrics0.0060.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.008
GPT teacher head0.252
Teacher spread0.243 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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