ArticleJBRA assisted reproduction2019
Ovulatory status of overweight women without Polycystic Ovary Syndrome.
Article in JBRA assisted reproduction, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- The physiological sonographic features of the ovary in healthy subjects: a joint systematic review and meta-analysis by the Italian Society of Gynecology and Obstetrics (SIGO) and the Italian Society of Endocrinology (SIE).Journal of endocrinological investigation · 2023Pooled it
- Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveObesity is one of the extra hypothalamic-pituitary-ovarian axis factors that can influence ovulation. The isolated impact of obesity on ovulation without other comorbidities needs to be further studied. Our goal is to evaluate the association between the anovulation in the ultrasonographic monitoring of the ovulation cycle and the body mass increase of infertile patients without polycystic ovaries of a university service.
methodsCase-control study performed at the Human Reproduction Laboratory of the University Hospital. We evaluated 1,356 ultrasound monitoring reports of ovulation between January 2011 and December 2015. We named case those patients who ovulated on the monitored cycle. After applying the exclusion criteria, we consolidated a total of 110 cases and 118 controls. The exposure variables were normal BMI or patients classified with a BMI above normal. Data analysis was performed using SPSS 22.0. Differences in proportions were assessed by X
resultsThe groups were comparable in age, age at menarche, number of pregnancies, deliveries, cesarean sections and abortions, number of antral follicles, FSH, prolactin and TSH values. Among the anovulatory patients, 57 (51.82%) were overweight, while among ovulatory patients, 44 (37.29%) were in this same BMI category. The odds ratio was 1.8655, with a significant p value (p<0.05).
conclusionThere was an association between anovulation and increase in the Body Mass Index, with an increased risk of anovulation in patients with BMI above normal.
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