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Record W2790717283 · doi:10.1093/jcag/gwy009.231

A231 URGENT PRIORITY ENDOSCOPY PATHWAY IN A HIGH VOLUME CENTRAL ACCESS MODEL: OPTIMIZING GASTROENTEROLGY CARE FOR THE SICKEST PATIENTS

2018· article· en· W2790717283 on OpenAlexaffabout
Matthew Mazurek, Kerri L. Novak, V C Heather, G S Heather, Mark G. Swain, Paul J. Belletrutti

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsAlberta Health ServicesUniversity of Calgary
Fundersnot available
KeywordsMedicineEsophagogastroduodenoscopyReferralTriageEndoscopyEmergency medicineColonoscopyDysphagiaSigmoidoscopyGeneral surgerySurgeryInternal medicineCancerFamily medicineColorectal cancer

Abstract

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Increasing demand for endoscopic evaluation of digestive diseases in Canada challenges the capacity of gastroenterologists to provide timely access to care. Hence, the accurate identification of high risk patients requiring expedited care because of significant morbidity is essential. Yet, predicting significant pathology based on the referral history alone is limited. At our institution, a single point of entry model is used to centralize intake and improve referral management. Recently, due to increased demand, an Urgent-Priority Endoscopy (UPE) pathway was created to enhance access for patients requiring the most urgent diagnostic endoscopies. This study aims to assess the effectiveness of the UPE pathway in providing appropriate patient triage and timely access to endoscopic assessment. All patients triaged to the UPE pathway from December 1, 2016–May 31, 2017 were identified. Anonymized patient data, including demographics, initial referral date and indication were abstracted and correlated with endoscopic and histopathologic findings. During the six-month study period, from a total referral volume of 11 116 cases, 131 were triaged directly to endoscopy through the UPE pathway. Patients underwent esophagogastroduodenoscopy (101), colonoscopy (27), both (1), or sigmoidoscopy alone (1). The median wait time from referral to procedure was 4.1 weeks (range 1–55.1). Median age was 60 years (range 19–92) with 69 (52.7%) male patients. The most common indication was dysphagia (n=50, 38.1%), of which 40 patients (80%) had an attributable cause identified: gastroesophageal reflux-related (38%), benign structural causes (24%), motility disorders (6%) or malignancy (6%). Other reasons for referral included abnormal imaging findings (26%), suspected upper gastrointestinal bleeding (19%), anemia (3.8%), mass on digital rectal exam (2.3%), and weight loss (2.3%). Overall, an attributable cause for the referring indication was found in 87/131 patients for a diagnostic yield of 66%. A malignant cause was found in 10 patients (7.6%), namely adenocarcinoma of the colon (4), stomach (4), esophagus (1), and 1 gastric lymphoma. Triage to the UPE pathway via a single point of entry model provided expedited assessment for alarming gastrointestinal symptoms and identified significant pathology in the majority of patients. Yet, one third of patients had a normal endoscopy. Improved referral quality—through access to electronic medical records, for example, or mandated objective measures of significant disease upon referral—could further improve the triage accuracy and facilitate timelier access to care. Division of Gastroenterology, University of Calgary

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)0.003
metaresearch head score (Gemma)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.986
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.011
GPT teacher head0.252
Teacher spread0.240 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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