From pilot data to clinical trial: observing the effects of vitamin D dosage on bone quality
Bibliographic record
Abstract
INTRODUCTION The relationship between vitamin D and bone quality has been widely researched. Vitamin D is an essential component of normal bone health as well as calcium/phosphate metabolism. Despite significant research efforts, the optimum level of vitamin D intake remains a topic of controversy amongst industry experts. For example, the Institute of Medicine recommends between 600 and 800 international units (IU) per day [1,2]. In contrast, both the osteoporosis Canada and the Endocrine Society guidelines recommend a higher daily dosage of 400 to 2000 IU [3,4]. To date, there have been no studies assessing dose-related vitamin D intake and bone health. The absence of research in this area was the major motivation for both the pilot study and clinical trial presented in this abstract. METHODS: PILOT DATA Participants included in this study were patients from the Pure North S’Energy Foundation (PNSF). All participants received a series of blood draws from PNSF, which determined the vitamin D levels in their blood. These levels were then used to divide participants into four different groups: low vitamin D ( 90 mmol/L, 175 mmol/L for 175 mmol/L for >6 months). Participants were then scanned using high resolution peripheral quantitative computed tomography (HR-pQCT, Scanco Medical), to analyze their bone micro-architecture in both the non-dominant tibia and radius. SPSS (version 21) was used to analyze the differences between groups with a One-Way ANOVA and a Tukey Post-Hoc test. Significance was set at p<0.05. RESULTS: PILOT DATA Overall, 113 participants were scanned using HR-pQCT while only 105 were included in the final analysis. Participants were on average 56 years old and 62% female. Both vitamin D (p<0.01) and calcium (p<0.05) were statistically significant between groups using a One-Way ANOVA. At the radius, cortical thickness (p<0.05) and cortical area (p<0.05) were statistically significant across groups. Results from the Tukey Post-Hoc test showed that cortical thickness was significantly lower for low vitamin D compared to the high vitamin D group, as well as lower for the one-time high compared to the high vitamin D group. For cortical area, the one-time high group was significantly lower than the high vitamin D group. For the tibia, trabecular thickness was the only significant variable across groups (p<0.05), with low vitamin D being lower than the one time high vitamin D. CONCLUSIONS: PILOT DATA There were some bone parameters that were statistically different between vitamin D groups. Of these statistically significant parameters, results differed between the radius and the tibia, as well as between cortical and trabecular bone. Most variables differed between the one-time high group and either the low or high groups. The only difference between the low and high groups was cortical thickness. This pilot data shows some interesting results, and the need for further, more controlled studies. FUTURE WORK: CLINICAL TRIAL This project will move forward in the form of a clinical trial entitled “A randomized double-blind study investigating dose-dependent longitudinal effects of vitamin D supplementation on bone health”. The study will include approximately 300 healthy men and women between the ages of 55-70 years. Similar to the pilot study, participants will be assigned to one of three vitamin D dosages and HR-pQCT will be used to assess bone quality. Other methods such as Dual X-ray Absorptiometry and health questionnaires will also be used to assess overall skeletal, physical and mental health.
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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 | 0.057 | 0.082 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 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".