MétaCan
Menu
Back to cohort
Record W2728118948 · doi:10.14740/gr836w

The Trend of Tranexamic Use in Upper Gastrointestinal Bleeding Ulcers

2017· article· en· W2728118948 on OpenAlexvenueno aff
Stefan Redéen

Bibliographic record

VenueGastroenterology Research · 2017
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsnot available
Fundersnot available
KeywordsTranexamic acidMedicineEsophagogastroduodenoscopyMedical prescriptionInternal medicineRetrospective cohort studyUpper gastrointestinal bleedingGastrointestinal bleedingBlood transfusionSurgeryCohortGastroenterologyBlood lossEndoscopyPharmacology

Abstract

fetched live from OpenAlex

BACKGROUND: Bleeding ulcer is a common condition, especially among the elderly population. Tranexamic acid (TXA) has been successfully used for many bleeding conditions. Its use in patients with bleeding ulcer is inclusive yet. The aim of this study was to provide an overview of the prescription of TXA. METHODS: This retrospective cohort study was performed as a review of medical records at the Surgery Department, University Hospital in Linkoping. Patients with complete esophagogastroduodenoscopy and ulcer disease were included and divided on the basis of treatment with TXA or not. Differences between the groups were statistically analyzed. RESULTS: The main part of the prescription of TXA, 65%, occurred during 2010 and 2011, and 35% between 2012 and 2013 (P < 0.05). In the group treated with TXA, 84% needed blood transfusion, compared to 64% in the control group (P = 0.039). Of the patients treated with TXA, 18% were re-bleeding compared to 14% of the controls (P = 0.594). Median value for days at hospital was 5 in the tranexamic group and 3 in the control group (P = 0.005). CONCLUSION: The prescription of TXA has declined between 2010 and 2013. TXA was more often prescribed to patients with more severe gastrointestinal (GI) bleeding ulcer disease. Further investigation is needed to conclude the significance of tranexamic acid in patients with GI bleeding ulcer disease.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.105
GPT teacher head0.381
Teacher spread0.276 · 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.

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

Citations4
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueGastroenterology ResearchSame topicBlood transfusion and managementFrench-language works237,207