MétaCan
Menu
Back to cohort
Record W2109954725 · doi:10.1310/hpj4104-354

Opportunities for Optimizing Pantoprazole Therapy in Patients with Acute Upper Gastrointestinal Bleeding

2006· article· en· W2109954725 on OpenAlexaff
Mandeep K. Saran, Peter Loewen

Bibliographic record

VenueHospital Pharmacy · 2006
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal Bleeding Diagnosis and Treatment
Canadian institutionsUniversity of British ColumbiaVancouver Coastal Health
Fundersnot available
KeywordsPantoprazoleMedicineRegimenEndoscopyDosingBolus (digestion)Retrospective cohort studyInternal medicineAnesthesiaOmeprazole

Abstract

fetched live from OpenAlex

Purpose To evaluate the appropriateness of intravenous (IV) pantoprazole in subjects presenting with signs suspicious of acute gastrointestinal bleeding (AGIB) and to identify opportunities for optimizing its use. Methods Retrospective health record review of subjects receiving IV pantoprazole for suspected or confirmed AGIB was conducted at two affiliated teaching hospitals. Results Of the 175 subjects enrolled, 157 (90%) received a diagnostic endoscopy. The median time to endoscopy was 18.5 hours, and the median time to start pantoprazole was 6.9 hours. Thirty-seven subjects (21%) did not receive the appropriate pantoprazole dose of 80 mg bolus followed by 8 mg/h infusion, and 22 high-risk subjects (33%) received less than 60 hours of IV pantoprazole. The median duration of pantoprazole following endoscopy for low-risk subjects was 21.1 hours. Conclusion Opportunities to optimize the use of IV pantoprazole include initiating therapy quickly at the appropriate dosing regimen, continuing the infusion for 72 hours in patients with high-risk bleeds, and discontinuing the infusion promptly once a high-risk AGIB is ruled out.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.281
Teacher spread0.249 · 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 designNot applicable
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

Citations2
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueHospital PharmacySame topicGastrointestinal Bleeding Diagnosis and TreatmentFrench-language works237,207