A description of patients with prostate cancer seen at BC Cancer at first oncologist visit
Bibliographic record
Abstract
Background: Increased Body Mass Index (BMI) is associated with a higher risk of developing advanced prostate cancer and prostate cancer recurrence. There is evidence that diet and lifestyle counselling could be beneficial for prostate cancer patients. Currently, at BC Cancer (BCC), there are limited resources for preventative lifestyle and dietary counselling. Objective: This study aims to describe prostate cancer patients seen at BCC for their first oncologist visit by BMI, comorbidities, medical history and demographic data, and also aims to identify how many received nutrition counselling from a BCC dietitian. Methods: A convenience sample of all genitourinary cancer patients attending their first oncologist visit from January 1 to June 30, 2017 was generated using the Outcomes and Surveillance Integration System (OaSIS) database. Electronic charts and Nutrition Screening Tool forms (NST) were reviewed for all prostate cancer patients in this sample, and the data was analyzed using descriptive statistics. Significance to the field of dietetics: The findings of this study will provide insight into the prostate cancer population in BC and contribute to the evidence needed to identify gaps in dietetic practice. Results: The distribution of BMIs was 23% normal weight (18.5-24.9), 29% overweight (25.0-29.9), 24% obese (> 30) and 12% unknown. The majority of patients had early stage localized cancer (87%) and were recommended curative treatment (54%). 80% of patients had at least one comorbidity. The most common comorbidities were hypertension (43%) and cardiovascular disease (24%). BCC dietitians saw 2 of 125 patients in this study for nutrition counselling. Implications and Conclusions: The BMI distribution in this study was similar to the general population in BC (1). However, there is a clear role for dietitian involvement given the high prevalence of comorbidities in combination with curative treatments with nutritionally relevant side effects. Future studies may benefit from focusing on other indicators of successful nutrition management for this population, such as improved biochemical markers associated with patientsu2019 comorbidities and measurements of quality of life.Statistics Canada. Table 13-10-0096-20 Body mass index, overweight or obese, self-reported, adult, age groups (18 years and older)
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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".