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S2121 Impact of Helicobacter pylori Eradication on Ghrelin Levels and BMI: Single-Arm Meta-Analysis With Leave-One-Out Sensitivity Analysis

2025· article· en· W7113899531 on OpenAlexaboutno aff

Bibliographic record

VenueThe American Journal of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicHelicobacter pylori-related gastroenterology studies
Canadian institutionsnot available
Fundersnot available
KeywordsGhrelinHelicobacter pyloriMeta-analysisConfidence intervalAppetiteBody mass indexPublication biasObesity

Abstract

fetched live from OpenAlex

Introduction: A persistent Helicobacter pylori infection suppresses the production of gastric ghrelin, which may restrict appetite and growth. Although eradication therapy may increase endocrine production, its effect on body weight is still up for debate, which feeds worries about obesity and hopes for better nutrition. We combined longitudinal studies that assessed body-mass index (BMI) and circulating ghrelin levels before and after confirmed eradication to provide clarity. Methods: A systematic search of MEDLINE, Embase, Scopus and CENTRAL were searched for trials or cohorts reporting paired pre/post ghrelin or BMI ≥4 weeks after confirmed eradication through May 2025. Two reviewers screened, extracted means ±SD and judged bias with RoB 2 or Newcastle-Ottawa. Pooled mean differences were generated with DL random effects model; heterogeneity was summarized by τ² and I². Forest plots displayed effect sizes, while leave-one-out plots located influential studies. Data analysis was done using R (v4.4.3) with 'meta' package. Results: Six studies, comprising 1,002 participants, assessed changes in ghrelin levels and BMI following H. pylori eradication. For BMI change, the random-effects model showed a non-significant mean difference (MD) of 0.79 (95% confidence interval [CI]: -0.52 to 2.10) with high heterogeneity (I² = 84.4%, τ² = 1.66). Leave-one-out analysis revealed that excluding Choe et al. (2007) reduced heterogeneity to 0% and yielded an MD of 0.28 (95% CI: -0.04 to 0.61). For ghrelin levels, eradication significantly increased levels with an MD of 163.60 (95% CI: 111.19 to 216.01) but showed extreme heterogeneity (I² = 99.9%, τ² = 4191.47). Sensitivity analysis found all studies contributed to high heterogeneity except Lane et al (2011) whose exclusion lowered I² to 83.9% and resulted in an MD of 3.42 (95% CI: -2.80 to 9.64). Conclusion: These results suggest H. pylori eradication raises ghrelin and may modestly raise BMI, but heterogeneity limits firm conclusions. The rebound confirms infection suppression yet seldom yields clinically relevant weight gain. Pediatric studies showed small increases, whereas adult community trials and dialysis cohorts were weight-neutral, explaining most dispersion. Leave-one-out influence plots demonstrated that removing such context-specific outliers normalized heterogeneity and centered BMI effects on null. Clinically, eradication seems to restore endocrine balance without promoting obesity, though longer, better-powered trials across diverse metabolic profiles are needed.

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)0.070
metaresearch head score (Gemma)0.119
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: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.070
Threshold uncertainty score0.372

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0700.119
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0220.101
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0040.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0170.001

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 head0.045
GPT teacher head0.314
Teacher spread0.269 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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