Development and evaluation of the TrueNTH-Prostate Cancer Canada electronic Library for Improved (urinary and bowel) Function post Treatment (TrueNTH-PCC-eLIFT).
Bibliographic record
Abstract
161 Background: The TrueNTH program is a Movember-funded, pan Canadian effort to develop a comprehensive patient-centered online portal in English and French that will cover a full spectrum of prostate cancer survivor needs. Through the support of Prostate Cancer Canada, the TrueNTH-PCC-eLIFT resource, as part of the TrueNTH program, is being developed by a multi-disciplinary team of urologists, radiation oncologists, gastroenterologists, researchers, nurses and survivors at pilot sites in Victoria, BC and London, ON. eLIFT will address urinary and bowel side effects that may be experienced after curative intent treatment by External Beam Radiation Therapy (EBRT), Brachytherapy (BT), combined EBRT + BT or Radical Prostatectomy (RP). Methods: eLIFT includes a didactic electronic library, symptom assessment tool and content tailored to treatment or symptoms experienced. A sequential prospective cohort study is underway to evaluate the impact of the resource. A baseline cohort of eighty patients per site receiving standard of care is currently open. A second cohort of eighty patients per site will be accrued to receive the eLIFT intervention. The study measurespatient self-efficacy, knowledge, Health Related Quality of Life (HRQoL), urinary and bowel function, health resource usage and satisfaction. Results: eLIFT content, with a total of 22 video modules is complete and in production. Preliminary results from the first cohort of patients, receiving standard care, confirm a need for a reliable, online resource in Canada. Patients note that the oral information provided by their oncologist at their preliminary consultation, while informative, is not easily retained. Information that was provided as print varied and was often outdated. Further, patients deem websites outside of Canada as the most reliable and helpful, which may not reflect Canadian recommendations. Conclusions: eLIFT will provide a unique and scalable centralized resource that will allow for expansion to a National level and increase access to a scientifically-sound library of information with the goal of improving the quality of care for prostate cancer patients across Canada.
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 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 | 0.009 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".