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Record W4395053121 · doi:10.1055/s-0044-1783131

Patient Position and ERCP Outcomes in Patients with Surgically Altered Foregut Anatomy

2024· article· en· W4395053121 on OpenAlexaff
S. Malipatil, Khaled Khalaf, Michael A. Scaffidi, Daniel Tham, Deepti Chopra, A. Mokhtar, C. Na, Sophia Abal, Sechiv Jugnundan, Shaurya Gupta, Mary Raina Angeli Fujiyoshi, Yoshinori Fujiyoshi, Katarzyna M. Pawlak, Nikko Gimpaya, Nicolas Calo, J. Mosko, Christopher Teshima, G May, Samir C. Grover

Bibliographic record

VenueEndoscopy · 2024
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Surgical Treatments
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsForegutMedicineAnatomyPosition (finance)General surgery

Abstract

fetched live from OpenAlex

Aims Patients with surgically altered gastrointestinal anatomy undergoing endoscopicretrograde cholangiopancreatography (ERCP) pose challenges due to anatomicaldistortions. Factors such as patient positioning, endoscopist experience, andchoice of endoscope may influence procedural success. It is unclear how thesefactors may impact the technical success of ERCP among patients with alteredanatomy. We primarily aimed to determine the impact of patient positioning (proneversus left lateral decubitus [LLD]) on technical success of ERCP among patientswith surgically altered anatomy. We also considered the impact of endoscopistexperience and endoscope type, alongside patient positioning.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.392

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 head0.006
GPT teacher head0.267
Teacher spread0.262 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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