274-OR: Effect of Testosterone Treatment on Type 2 Diabetes Incidence in High-Risk Men Enrolled in a Lifestyle Program: A Two-Year Randomized Placebo-Controlled Trial
Bibliographic record
Abstract
In men with obesity and IGT, serum testosterone (T) is inversely associated with incident T2D. Hypothesizing that T treatment prevents or reverses T2D beyond the effects of a lifestyle program alone, we conducted a multi-center, double-blinded placebo-controlled trial. Men (N=1007), aged 50-74 yrs., waist circumference (WC)>95cm, serum T≤14nmol/L (chemiluminescent assay), and IGT or newly diagnosed T2D, established by an OGTT, were randomized to receive, on a 1:1 basis, either IM T undecanoate (Reandron, Bayer) (1000mg/4ml) or vehicle (V) at baseline, 6 weeks and then 3-monthly for 2 yrs. All participants were enrolled in a lifestyle program (Weight Watchers® (WW)). Co-primary 2-yr outcomes: (1) OGTT 2-hr glucose ≥11 mmol/L: 55/443 (12.4%) in the T and 87/413 (21.1%) in V groups; RR (95% CI) 0.59 (0.43-0.80), P<0.001; and (2) mean change from baseline in 2-hr glucose: -1.70 mmol/L and -0.95 mmol/L in the T and V groups, respectively (mean difference -0.75 (95% CI -1.10 to -0.40) P<0.001). The treatment effect was independent of baseline serum T. Secondary 2-year outcomes: Greater decreases from baseline in fasting glucose by 0.17 mmol/L, WC by 2.1 cm, total fat mass by 2.7kg, and abdominal fat mass by 2.3%, and greater increases in total muscle mass by 1.7kg, arm muscle mass by 0.36kg and hand grip strength by 2.2kg, occurred in the T vs. V group (all P<0.004). Compliance with the WW program was similar in the T (30%) vs. V (28%) groups (P=0.89). Safety: Hematocrit ≥ 0.54: 106/491 (21.6%) vs. 6/484 (1.2%) in the T vs. V groups (P<0.001). SAEs in T vs. V groups (total events 55 vs. 42): Arrythmias (8 vs. 3), IHD (7 vs. 13), cerebrovascular disease (4 vs. 3), BPH (8 vs. 3), prostate cancer (4 vs. 5), other cancers (10 vs. 4), depression (1 vs. 3). There were 2 deaths in each group. Beyond a lifestyle program, T treatment reduced the RR of T2D by ∼40% at least partially mediated by favorable changes in body composition. Clinical Trial Registration: ACTRN12612000287831. Disclosure G.A. Wittert: Research Support; Self; Bayer Inc., Lawley Pharmaceuticals, Lilly, Weight Watchers International, Inc. Speaker’s Bureau; Self; Besins. K.P. Robledo: None. M. Grossmann: Research Support; Self; Bayer Healthcare Pharmaceuticals Inc., Lilly Diabetes, Novartis Pharmaceuticals Canada Inc., Otsuka Pharmaceutical Co., Ltd., Weight Watchers International, Inc. Speaker’s Bureau; Self; Besins Healthcare, Otsuka Pharmaceutical Co., Ltd. K. Bracken: None. B.B. Yeap: Advisory Panel; Self; Sanofi. Research Support; Self; Bayer AG, Lawley Pharmaceuticals. Speaker’s Bureau; Self; Besins, Sanofi. B.G.A. Stuckey: None. R.I. McLachlan: None. D.J. Handelsman: None. C. Allan: Advisory Panel; Self; Ferring Pharmaceuticals. Speaker’s Bureau; Self; Besins. W. Inder: Research Support; Self; Bayer Healthcare Pharmaceuticals Inc. Speaker’s Bureau; Self; Amgen, Novo Nordisk Inc., Pfizer Inc. D. Jesudason: Other Relationship; Self; Boehringer Ingelheim Pharmaceuticals, Inc., Eli Lilly and Company. A.C. Keech: Advisory Panel; Self; Amgen, Kowa Research Institute, Inc. Consultant; Self; Sanofi-Aventis. Speaker’s Bureau; Self; Abbott, Amgen. A. Jenkins: Advisory Panel; Self; Abbott, Medtronic. Research Support; Self; Abbott, GlySens Incorporated, Medtronic, Sanofi-Aventis. M. Ng Tang Fui: None. M. Daniel: None. Funding National Health and Medical Council of Australia (1030123); Eli Lilly and Company; Bayer AG; Weight Watchers; University of Adelaide
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".