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Record W191818259

The use of omeprazole to alleviate stomach ulcers in swine during periods of feed withdrawal.

2000· article· en· W191818259 on OpenAlexaff
Robert Friendship, Sergey I. Melnichouk, Catherine E. Dewey

Bibliographic record

VenuePubMed · 2000
Typearticle
Languageen
FieldVeterinary
TopicVeterinary medicine and infectious diseases
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsOmeprazoleGastroenterologyStomachInternal medicineMedicine
DOInot available

Abstract

fetched live from OpenAlex

Controlled trials were conducted to determine if treatment with the benzimidazole compound, omeprazole, would prevent gastric ulceration associated with feed withdrawal. Pigs were fed ad libitum, fasted for 24 h, or fasted for 48 h, and within each of these 3 groups the effect of no medication (controls), of 20 mg or 40 mg of omeprazole was evaluated on the pH of gastric fluid and the presence or absence of lesions in the pars esophagea. Medication with 40 mg of omeprazole resulted in significantly higher gastric pH 24 h after treatment compared with untreated pigs or pigs medicated with 20 mg of omeprazole. Fasting for 24 h or for 48 h, resulted in more pigs developing ulcers (15 of 25) than pigs allowed free access to feed (1 out of 10) (P = 0.01). The results of this trial suggest that omeprazole was effective in preventing some, but not all, of the tissue damage in the pars esophagea related to feed withdrawal. In addition to hydrochloric acid, possibly other components, such as bile acids in the fluid gastric contents, are important in causing epithelial injury.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.059
GPT teacher head0.279
Teacher spread0.220 · 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 designObservational
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

Citations12
Published2000
Admission routes1
Has abstractyes

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