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Record W2405384429 · doi:10.5604/16652681.1184294

When to perform gastroscopy in the PSC patient

2015· letter· en· W2405384429 on OpenAlexaffabout
Yvonne Tse, Julia Uhanova, Neeraj Narula, Sanjeev Sirpal, Paul Marotta, Natasha Chandok

Bibliographic record

VenueAnnals of Hepatology · 2015
Typeletter
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsWilliam Osler Health SystemUniversity of ManitobaWestern University
Fundersnot available
KeywordsMedicineEsophageal varicesInternal medicineHepatologyGastroenterologyVaricesUnivariate analysisEndoscopyPrimary sclerosing cholangitisLiver diseasePortal hypertensionDiseaseMultivariate analysisCirrhosis

Abstract

fetched live from OpenAlex

Variceal hemorrhage (VH), particularly from esophageal varices, is associated with high fatality and recurrence rates in cirrhotics despite standard medical and endoscopic intervention.1 In primary sclerosing cholangitis (PSC), the decision to perform screening endoscopy varies. Retrospective studies suggest that platelet count negatively correlates with endoscopic features of portal hypertension,2,3 but assessment of the strength of this association requires further observational data as it is based on a relatively small number of patients with PSC. To further assess the relationship between platelet count and the presence of large (> 5 mm) esophageal varices in patients with PSC, and to determine the association between liver enzymes and model for end-stage liver disease score (MELD) with risk for large esophageal varices, we assessed all adult PSC patients seen at the University of Western Ontario over a 10 year period following approval by the Ethics Review Board. Baseline clinico-demographic and endoscopic data on presence and grade of esophageal varices were collected and summarized in table 1 on the 66 patients that fulfilled criteria. Univariate logistic regression analysis was conThe Official Journal of the Mexican Association of Hepatology, the Latin-American Association for Study of the Liver and the Canadian Association for the Study of the Liver

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 categoriesnone
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 score0.100
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.082
GPT teacher head0.341
Teacher spread0.259 · 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 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

Citations1
Published2015
Admission routes2
Has abstractyes

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