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Record W2064656330 · doi:10.1097/meg.0b013e3282f427c8

Gastric ulcer treatment: cure of Helicobacter pylori infection without subsequent acid-suppressive therapy: is it effective?

2008· review· en· W2064656330 on OpenAlexaff
Sander Veldhuyzen van Zanten, B. van der Knoop

Bibliographic record

VenueEuropean Journal of Gastroenterology & Hepatology · 2008
Typereview
Languageen
FieldMedicine
TopicHelicobacter pylori-related gastroenterology studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineHelicobacter pyloriAsymptomaticGastroenterologyInternal medicineSpirillaceaeHelicobacter pylori infectionHelicobacterDuodenal ulcerGastric acidStomachGastritis

Abstract

fetched live from OpenAlex

Whether it is a requirement to continue with anti-secretory therapy following anti-Helicobacter therapy in H. pylori positive gastric ulcers is an important question. As gastric ulcers tend to heal more slowly than duodenal ulcers, may be asymptomatic or only causing mild symptoms and success at curing H. pylori with current fist line therapies is 80% at best, clinicians will likely err on the side of caution and continue acid suppressive therapy to ensure healing of gastric ulcers. This is certainly recommended when dealing with bleeding ulcers.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.044
GPT teacher head0.314
Teacher spread0.270 · 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

Citations11
Published2008
Admission routes1
Has abstractyes

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