Reply to Burt LA, et al.: Adverse Effects of High-Dose Vitamin D Supplementation on Volumetric Bone Density Are Greater in Females Than Males
Notice bibliographique
Résumé
We thank Dr Boucher(1) for her comments on our findings and hope our response provides further clarification. It is important to emphasize that our results are based on exploratory outcomes from our randomized controlled trial, and it is our intention that these results pave the way for additional studies to explore the sex differences in response to high-dose vitamin D supplementation and to confirm that supplementation doses higher than the recommendations are not necessary for bone health in older healthy adults. As stated in the article, a limitation of considering sex differences as an exploratory outcome of the trial was that we may be underpowered to detect time-by-treatment group-by-sex effects over the 3 years. Nevertheless, our findings were statistically significant for females as noted in the article, whereas statistically significant effects were not found for males. The primary aim of this trial was to investigate the effect of vitamin D supplementation on bone density and strength;(2) thus, for the primary outcome, the trial was only powered to examine differences between treatment group (ie, combining males and females) in total bone mineral density (TtBMD) at the tibia or radius, measured using high-resolution peripheral quantitative computed tomography (HR-pQCT). In the event of a statistically significant result, the power of the test is irrelevant. The only variable that we present with a p value for the interaction effect of time-by-treatment group-by-sex that is outside the traditional 0.05 level is cortical bone mineral density (CtBMD) at the radius (p = 0.072),(3) and for this variable power may have been an issue. We presented the treatment effect in graphical form (Fig. 2) and in the text, with 95% confidence intervals,(3) enabling readers to see differences in the estimated treatment effect in males and females and the possible ranges given the sample size. The differences between males and females are smaller for CtBMD at the radius than for other variables, and one could question whether they are clinically relevant. Outlier values were checked but remained in the analyses except for one individual who had a cyst in the radius field of view. The normality of the arithmetic means for each data subgroup is not relevant in this analysis. In general, individual profile plots showed response to vitamin D supplementation was non-linear. No data transformation was needed because this curve can be estimated using a quadratic effect in a multiple linear regression model. Essentially a curved line was fitted for each individual and the regression coefficients for that individual are estimated. These are the "random effects" and are assumed to be normally distributed. Diagnostic residual plots were examined for deviation from this assumption and other assumptions underlying the random effects model. Our study was designed to understand how bone outcomes are affected by high-dose vitamin D supplementation specifically in vitamin D–sufficient individuals as defined by IOM (now National Academy of Medicine) standards. We measured changes in TtBMD and bone strength in healthy individuals without osteoporosis and with 25(OH)D serum from 30 to 125 nmol/L. We agree that participants with low 25(OH)D levels may have responded differently to high-dose vitamin D supplementation, which would need to be explored following a different study design. We have investigated the effect of the baseline serum 25(OH)D and achieved serum 25(OH)D at month 12 on our bone outcomes. We are underpowered to perform a sex-stratified analysis within treatment groups, but we explored the data using a 75 nmol/L threshold at baseline of our pooled cohort.(4) There were 138 participants with baseline 25(OH)D levels of 75 nmol/L or less, and their dose-dependent pattern of bone loss was similar to the full cohort, with greatest loss in the 10,000 IU group. We did not have enough participants (N = 24) to perform stratification based on 25(OH)D <50 nmol/L. Currently, we have not explored the data using tertiles or quintiles.(5) Achieved serum 25(OH)D at 12 months was highly correlated with treatment group, as can be seen clearly in Fig. 4A, B, where there is very little overlap between the three treatment groups at 12 months.(3) Funding for the Calgary Vitamin D Study was provided by Pure North S′Energy Foundation in response to an investigator-initiated research grant proposal.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,092 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,004 | 0,002 |
| Intégrité de la recherche | 0,033 | 0,041 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,008 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».