The use of coenzyme Q10 and DHEA during IUI and IVF cycles in patients with decreased ovarian reserve
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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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 | 0.003 |
| 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".