In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
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Question: Context: To determine whether follicle curetting at the time of oocyte retrieval increases oocyte yield.', 'Retrospective review of all patients who underwent oocyte retrieval from July 1, 2003 to June 30, 2005.', 'Number of oocytes retrieved.', 'retrieval time, number of cryopreserved embryos, pregnancy rates, and incidence of ovarian hyperstimulation syndrome.', 'There were no differences in patient demographics, antral follicle count, cycle stimulation characteristics, fertilization rates, embryo quantity or quality, embryo cryopreservation rates, clinical pregnancy rates, live birth rates, or ovarian hyperstimulation syndrome between the groups. Retrievals that utilized curetting took three minutes longer. Follicle curetting significantly increased the number of oocytes retrieved, 13.9 +/- 0.6 compared to 11.4 +/- 0.6 oocytes without curetting (P = 0.003). The quantity of mature oocytes was also increased with curetting (10.3 +/- 0.5 versus 8.4 +/- 0.5, P = 0.006).\Question: Does follicle curetting at the time of oocyte retrieval increase the oocyte yield?

Answer: This study demonstrated that follicle curetting significantly increased oocyte yield. While it did not increase live birth rates, this increase in oocyte yield should lead to increased numbers of embryos for selection at transfer and increased embryos for cryopreservation.


Question: Context: To assess how different imputation methods used to account for missing variance data in primary studies influence tests of heterogeneity and pooled results from a meta-analysis with continuous outcomes.', 'Point and variance estimates for changes in serum creatinine, glomerular filtration rate, systolic blood pressure, and diastolic blood pressure were variably reported among 48 primary longitudinal studies of living kidney donors (71%-78% of point estimates were reported, 8%-13% of variance data were reported). We compared the results of meta-analysis, which either were restricted to available data or used four methods to impute missing variance data. These methods used reported P-values, reported nonparametric summaries, results from other similar studies using multiple imputation, or results from estimated correlation coefficients.', 'Significant heterogeneity was present in all four outcomes regardless of the imputation methods applied. The random effects point estimates and 95% confidence intervals varied little across imputation methods, and the differences were not clinically significant.\Question: Do imputing variance estimates alter the conclusions of a meta-analysis with continuous outcomes : a case study of changes in renal function after living kidney donation?

Answer: Different methods to impute the variance data in the primary studies did not alter the conclusions from this meta-analysis of continuous outcomes. Such reproducibility increases confidence in the results. However, as with most meta-analyses, there was no gold standard of truth, and results must be interpreted judiciously. The generalization of these findings to other meta-analyses, which differ in outcomes, missing data, or between-study heterogeneity, requires further consideration.


Question: Context: This exploratory study assessed how 8-13-year-old children categorised and labelled fruit and vegetables (FaV), and how these were influenced by child characteristics, to specify second-level categories in a hierarchical food search system for a computerised 24 h dietary recall (hdr).', 'Two sets of food cards, sixty-seven for fruit (F) and sixty-four for vegetables (V), with pictures and names of FaV from ten professionally defined food categories were sorted, separately, by each child into piles of similar foods. Demographic data, BMI and 6-n-propylthiouracil (PROP) taster status were obtained.', "Participants attended the Children's Nutrition Research Center in the summer of 2006.", 'In all, 152 8-13-year-old children, predominantly English-speaking, of whom sixteen were predominantly Spanish-speaking.', "Children created an average of 8.5 (5.3) piles with 7.9 (11.4) cards per pile for the F, and an average of 10.1 (4.8) piles with 6.2 (7.9) cards per pile for the V. No substantial differences in Robinson clustering were detected across subcategories for each of the demographic characteristics, BMI or PROP sensitivity. Children provided clusters names that were mostly 'Taxonomic - Professional' labels, such as salads, berries, peppers, for both F (51.8 %) and V (52.1 %).\Question: Are fruit and vegetables similarly categorised by 8-13-year-old children?

Answer:
These categories should be tested to assess their ability to facilitate search of FaV items in a computerised 24 hdr for children in this age group.