Bibliographic record
Abstract
Background: The purpose of the study was to assess the effect of changes in male and female’s body with type 1 diabetes mellitus (T1DM) on the state of the bone mineral density and the metabolic rate, and to determinate the direction of changes in serum markers of bone remodeling and bone mineral density in both sexes due to this disease. Methods: Bone mineral density (with dual-energy X-ray absorptiometry (DXA)) and serum bone remodeling markers (alkaline phosphatase (ALP), procollagen type 1 intact N-terminal propeptide (P1NP) and C-terminal cross-linking telopeptide of type I collagen (b-CTx)) were measured in 57 female and 41 male with T1DM (n = 98) and in a group control, consisting of 43 female and 39 male (n = 82). Results: Analysis of the obtained results showed lower values in all the surveyed areas of patients with diabetes, in comparison with the control group. It was found that the studied bone formation markers (ALP, P1NP) behave differently. While the P1NP level is significantly reduced in female with T1DM vs. control group patients (P 0.05). B-CTx showed a significant negative correlation with the T-score of lumbar spine (r = -0.431, P = 0.000). Conclusions: Based on the results of studying the T-score it was found that in male and female with diabetes, in comparison with the control group, the bone density in the vertebrae was reduced. In men with T1DM changes in the T-score in the spine were found less intense than those in female. J Endocrinol Metab. 2018;8(1):2-5 doi: https://doi.org/10.14740/jem483w
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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".