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Record W4414529356 · doi:10.3390/medicina61101745

Effectiveness of Classic Triple Therapy Compared with Alternative Regimens for Eradicating H. pylori: A Systematic Review

2025· review· en· W4414529356 on OpenAlexaboutno aff
Majid Darraj

Bibliographic record

VenueMedicina · 2025
Typereview
Languageen
FieldMedicine
TopicHelicobacter pylori-related gastroenterology studies
Canadian institutionsnot available
Fundersnot available
KeywordsAdverse effectCochrane LibraryObservational studyMeta-analysisRandomized controlled trialMEDLINESystematic review

Abstract

fetched live from OpenAlex

Background: Helicobacter pylori infection is associated with peptic ulcer disease, chronic gastritis, and gastric cancer. Classic triple therapy (CTT) has been widely used, but increasing antibiotic resistance has reduced its effectiveness. Objectives: To evaluate the effectiveness of CTT compared with alternative regimens and to summarize adverse events and adherence. Methods: We searched PubMed, Scopus, Web of Science, and Cochrane Library from January 2000 to March 2025. Randomized trials and observational studies assessing eradication rates were included. Two reviewers independently screened the studies, extracted data, and assessed bias using Cochrane RoB or the Newcastle–Ottawa Scale. Outcomes included eradication rate, adverse events, and adherence. Results: Thirteen studies (n = 3490) were included. CTT eradication rates ranged from 61.9% to 88.8%. Sequential, bismuth-based quadruple and high-dose PPI regimens achieved higher rates (>90% in several trials). Adverse events were mild–moderate and most frequent in quadruple therapy, though adherence remained >90%. Evidence certainty varied (moderate to low in most comparisons). Geographic variation in resistance limited generalizability. Conclusions: CTT is less effective in high-resistance regions. Quadruple, sequential, and high-dose PPI regimens provide superior outcomes. Region-specific treatment guided by susceptibility testing is recommended. Registration: Not registered.

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0100.001
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)0.0000.000

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 head0.048
GPT teacher head0.356
Teacher spread0.308 · 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 teacher head, not a consensus.

Study designSystematic review
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

Citations1
Published2025
Admission routes1
Has abstractyes

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