Identifying nutritional, functional, and quality of life correlates with male hypogonadism in advanced cancer patients
Bibliographic record
Abstract
With the availability of a potential treatment to reverse male hypogonadism (MH), the primary aim of this case series study was to determine independent relationships between this condition and the nutritional, functional, and quality of life characteristics of advanced cancer patients (ACP). Free testosterone levels were measured in 100 male patients with advanced lung and gastrointestinal (GI) cancer. Routine blood markers of nutrition and inflammation, self-reporting questionnaires for symptom, nutrition, and functional status along with handgrip dynamometry were assessed for all patients at bedside. Almost half of this cohort underwent further assessments (body composition, lower body strength, in depth quality of life and fatigue questionnaires) at the McGill Nutrition and Performance Laboratory (mnupal.mcgill.ca). Multiple regression analyses were performed to identify independent correlations between free testosterone and the above measures. Seventy-six percent of patients were diagnosed with MH. Using multiple linear regression, low free testosterone (31.2 pmol/L) was independently associated with lower albumin (B = -3.8 g/L; 95% confidence interval CI -6.8:-0.8), muscle strength (-11.7 lbs; -20.4: -3.0) and mass in upper limbs (-0.8 kg; -1.4: -0.1), overall performance status (Eastern Cooperative Oncology Group Performance Scale, ECOG PS 0.6; 0.1:1.1), cancer-related fatigue (Brief Fatigue Inventory, BFI 16.7; 2.0: 31.3), and overall quality of life (MQoL total score -1.42; -2.5: -0.3). Thus MH seems to be highly prevalent in ACP, and it is independently associated with important nutritional, functional, and quality of life characteristics in this patient population.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".