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Record W4410211115 · doi:10.3390/antibiotics14050476

Clinical Effectiveness of Penicillin-Free Therapies in First-Line and Rescue Treatments for Helicobacter pylori: A Systematic Review

2025· review· en· W4410211115 on OpenAlexaff
Kenza El Boury, Hind Boudarf, Imane Adoud, Soukaina Ouannass, Oussama Abi, Hanane Delsa, Fatima Azzahra Lahlou, Samy S. Iskandar, Meryem El Jemli, Idrissa Diawara, Mohamed Amine Senhaji, Lhousaine Balouch, Zakaria Belrhiti

Bibliographic record

VenueAntibiotics · 2025
Typereview
Languageen
FieldMedicine
TopicHelicobacter pylori-related gastroenterology studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineHelicobacter pyloriPenicillinRegimenIntensive care medicineAntibioticsInternal medicine

Abstract

fetched live from OpenAlex

Background and Aims: Amoxicillin is one of the most effective antibiotics for treating Helicobacter pylori infections and is widely used in first-line treatment regimens. However, patients with penicillin allergies cannot receive penicillin-based therapies, which significantly limits effective eradication options. This allergy often compels clinicians to choose alternative regimens that may be less effective, thereby increasing the risk of treatment failure. Consequently, therapeutic options for these patients are more restricted, and clinicians must carefully select the most appropriate regimen, taking into account both efficacy and the potential for antimicrobial resistance. This review aims to systematically evaluate the efficacy of penicillin-free treatment regimens for the eradication of H. pylori in patients with penicillin allergies. Specifically, it seeks to identify, analyze, and synthesize current clinical evidence to determine the most effective alternative therapies, thereby supporting evidence-based clinical decision-making. Methods: A literature search was conducted using the PubMed and Scopus databases. We began by reviewing the titles and abstracts of all identified studies to determine eligibility. Next, we assessed the full text of potentially eligible articles according to inclusion and exclusion criteria to establish the eligibility of each study. Results: This review included 26 studies comprising 2713 participants, evaluating penicillin-free therapies for H. pylori eradication in penicillin-allergic patients. Key findings demonstrated high eradication rates with bismuth-based quadruple therapies (88–97%), doxycycline-based regimens (86%), and quinolone-based therapies (75–100%), with Sitafloxacin exceeding 90% efficacy. Minocycline-based regimens also showed promising outcomes, with eradication rates between 80% and 85%. Although the PPI–clarithromycin–metronidazole combination was moderately effective, it was less favored as a first-line option. Overall, bismuth-based and quinolone-based therapies emerged as the most effective alternatives. Conclusions: In patients allergic to penicillin, bismuth quadruple therapy has demonstrated an excellent rate of eradication. Quinolone-based regimens are emerging as a promising alternative in first-line treatment or in cases of treatment failure. Vonoprazan-based therapy is an effective regimen. Combined with clarithromycin and metronidazole, vonoprazan enhances eradication rates and demonstrates effectiveness, including in clarithromycin-resistant strains.

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)0.006
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.009
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.009
Bibliometrics0.0090.009
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.052
GPT teacher head0.383
Teacher spread0.331 · 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 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

Citations2
Published2025
Admission routes1
Has abstractyes

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