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Record W2896510861 · doi:10.12968/gasn.2018.16.8.35

Elective surveillance gastroscopy in Barrett's oesophagus: a case study and review of the clinical endoscopist's role

2018· article· en· W2896510861 on OpenAlexaboutno aff
Ita Boyle

Bibliographic record

VenueGastrointestinal Nursing · 2018
Typearticle
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGeneral surgeryPerforationIntestinal metaplasiaInternal medicineRefluxGastroenterologyDiseaseCancer

Abstract

fetched live from OpenAlex

Barrett's oesophagus is characterised by the replacement of the stratified squamous epithelium that lines the distal oesophagus with red columnar epithelium. It is linked to gastro-oesophageal reflux disease (GORD) and increases the risk of oesophageal adenocarcinoma. Gold-standard surveillance is gastroscopy (oesophago-gastro-duodenoscopy), with measurement by mucosal observation according to the Prague Classification and histopathological biopsy to identify intestinal metaplasia. The American Society of Anesthesiologists (ASA) Classification helps assess a patient's risk of adverse events, including hypoxia, infection, bleeding or perforation. Patients are offered conscious sedation with intravenous midazolam under a patient group directive, which has its own risks. Preprocedural postal information and consultation ensures patients are sufficiently informed to give valid consent. A follow-up care plan is given to the patient on discharge. Clinical endoscopists can use the Calgary-Cambridge model and the SURETY communication models to deliver holistic patient-centred care. The clinical endoscopist's role in this pathway is examined in reference to British Society of Gastroenterology and international guidelines, research and a case study.

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)0.001
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 score0.042
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.030
GPT teacher head0.403
Teacher spread0.373 · 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
Published2018
Admission routes1
Has abstractyes

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