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Record W2121955528 · doi:10.1586/egh.12.54

High-dose versus low-dose intravenous proton pump inhibitor treatment for bleeding peptic ulcers

2012· letter· en· W2121955528 on OpenAlexaff
Grigorios I. Leontiadis, Colin W. Howden, Alan Barkun

Bibliographic record

VenueExpert Review of Gastroenterology & Hepatology · 2012
Typeletter
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsMcGill University Health CentreMcMaster University
Fundersnot available
KeywordsMedicineRegimenPepticProton-pump inhibitorBolus (digestion)Randomized controlled trialClinical trialIntensive care medicineAnesthesiaInternal medicinePeptic ulcer

Abstract

fetched live from OpenAlex

Evaluation of: Liu N, Liu L, Zhang H et al. Effect of intravenous proton pump inhibitor regimens and timing of endoscopy on clinical outcomes of peptic ulcer bleeding. J. Gastroenterol. Hepatol. 27(9), 1473–1479 (2012).Peptic ulcer bleeding is a common medical emergency associated with significant mortality and healthcare costs. All recent guidelines agree on the beneficial role of proton pump inhibitor treatment, but there is still controversy regarding the optimal dose and route of administration of proton pump inhibitors. The evaluated article reports on a large, single-center randomized controlled trial that compared the clinical efficacy of a low-dose twice-daily intravenous bolus regimen with a high-dose continuous intravenous infusion regimen in 875 patients with acute bleeding from peptic ulcers. The high-dose regimen was associated with significant reductions in rebleeding, blood transfusion requirements and length of hospital stay. There was no demonstrable difference in mortality or the need for endoscopic hemostatic treatment or surgery. We discuss the strengths and limitations of the evaluated article, as well as the implications for clinical practice.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.109
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.034
GPT teacher head0.317
Teacher spread0.283 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2012
Admission routes1
Has abstractyes

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