PTU-149 Barrett’s Oesophagus Patients Attending Hospital: Baseline Clinical, Patient History and Quality of Life Data from Boss and Aspect
Bibliographic record
Abstract
Introduction From 2005 to 2011 two large UK studies recruited 6,327 evaluable patients with Barrett’s Oesophagus attending hospital clinics. Baseline clinical, patient history and quality of life data was collected prior to randomisation and this rich dataset is the basis for this abstract. Methods Patients were recruited to AspECT and BOSS at local centres through normal endoscopy clinics and surveillance lists including those newly diagnosed or with an existing diagnosis of Barrett’s oesophagus. Baseline information was collected on age, gender, ethnicity, length of Barrett’s, presence of hiatus hernia, intestinal metaplasia and low grade dysplasia, concomitant medications, comorbidities, duration and severity of symptoms and patients’ self-reported Quality of Life data. Results The sample was mainly male (75%, n = 6,327) with median age of 64 years (range 18–92 years, n = 6,327). Median Barrett’s length was 4 cm (range 1–24 cm, n = 6,029) and median time since diagnosis of Barrett’s was 2 years (range 0–41 years, n = 5,805). At least one symptom of reflux was experienced by 60% of patients and 46% of patients experienced at least one symptom at least once per week (n = 1,072). Length of Barrett’s was associated with age (n = 6,029), gender (n = 6,029), presence of low grade dysplasia (n = 5,955), presence of intestinal metaplasia (n = 6,026) and time since diagnosis (n = 5,913). Conclusion This is our first release of data from AspECT and BOSS with more to follow. It is a large set of data on Barrett’s patients which we expect to be typical of Barrett’s patients attending hospital clinics in the UK. The average person was a male age 62 with 4 cm Barrett’s having had a Barrett’s diagnosis for 2 years. Acknowledgements Our thanks to the patients and the sites. AspECT is sponsored by the University of Oxford with grant funding from CR-UK (A4584) and support from the Investigator-Sponsored Study Program of AstraZeneca with trial management provided by OCTO. BOSS is funded by the HTA grant number HTA 05/12/01 with trial management provided by BOSS trial office Gloucestershire Hospitals NHS Trust. The Centre for Statistics in Medicine provides statistical input to both AspECT and BOSS. Disclosure of Interest None Declared
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".