The impact of a new hepatopancreatobiliary surgery program on the management of pancreatic cancer at Health Sciences North
Bibliographic record
Abstract
Background: Centralization of specialist services to urban centres presents a challenge to patients living in rural communities. The hepatopancreatobiliary surgery (HPB) program at Health Sciences North (HSN) is the tenth and newest HPB centre by Cancer Care Ontario and presents a unique opportunity to evaluate the barriers to delivering HPB cancer care to patients in northern Ontario. Methods: We retrospectively reviewed the cases of patients referred to the Northeastern Ontario Cancer Centre and HSN with a pancreatic cancer diagnosis between 2009 and 2015. July 2013 marked the inception of the HPB surgical program. Our primary outcome was time to HPB surgical consultation. Secondary outcomes included distance of travel and time to curative intent operation. Results: Our population consisted of 207 patients (98 pre-HPB v. 109 post-HPB). Median time to consultation with an HPB surgeon was decreased in the post-HPB group (43 v. 11 d, p < 0.001). An increased proportion of patients with pancreatic malignancies in the post-HPB group received HPB surgical consultations (34% v. 74%, p < 0.001), with decreased median distance travelled to surgical consultation (411 v. 79 km, p < 0.001). Time to curative intent operation or medical oncology consultation did not significantly increase. Conclusion: A new HPB program appears to have facilitated the proportion of patients with pancreatic malignancies at HSN receiving an HPB surgical consultation. Patients received complex surgeries, closer to their home regions. It is anticipated that these changes may affect overall outcomes and patient satisfaction and will be the focus of future investigations.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".