The use of coenzyme Q10 and DHEA during IUI and IVF cycles in patients with decreased ovarian reserve
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Bibliographic record
Abstract
OBJECTIVE: The objective of this study is to compare the combination of dehydroepiandrosterone (DHEA) and coenzyme Q10 (CoQ10) (D + C) with DHEA alone (D) in intrauterine insemination (IUI) and in vitro fertilization (IVF) cycles among patients with decreased ovarian reserve. METHODS: We retrospectively extracted data from patients charts treated by DHEA with/without CoQ10 during IUI or IVF between February 2006 and June 2014. Prestimulation parameters included age, BMI, day 3 FSH and antral follicular count (AFC). Ovarian response parameters included total gonadotropins dosage, peak serum estradiol, number of follicles > 16 mm and fertilization rate. Clinical outcomes included clinical and ongoing pregnancy rates. RESULTS: Three hundred and thirty IUI cycles involved D + C compared with 467 cycles of D; 78 IVF cycles involved D + C and 175 D. In both IUI and IVF, AFC was higher with D + C compared with D (7.4 ± 5.7 versus 5.9 ± 4.7, 8.2 ± 6.3 versus 5.2 ± 5, respectively, p < 0.05). D + C resulted in a more follicles > 16 mm during IUI cycles (3.3 ± 2.3 versus 2.9 ± 2.2, respectively, p = 0.01), while lower mean total gonadotropin dosage was administered after D + C supplementation compared with D (3414 ± 1141 IUs versus 3877 ± 1143 IUs respectively, p = 0.032) in IVF cycles. Pregnancy and delivery rates were similar for both IUI and IVF. CONCLUSION: D + C significantly increases AFC and improves ovarian responsiveness during IUI and IVF without a difference in clinical outcome.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it