1,720,962 research outputs found
Steroid receptors in benign breast disease,gross cystic disease and fibroadenoma
No full textPMID 3815831(PubMed-indexed for MEDLINE
Estrogen and progesterone receptors status in the prediction of response of breast cancer to endocrine therapy
No full textPMID 3536517(PubMed-indexed for MEDLINE
Estradiol and progesterone binding in uterine leiomyomata and pregnant myometrium
No full textPMID 3454723(PubMed-indexed for MEDLINE
Management clinico dei distacchi parcellari nel I° trimestre di gravidanza
No full textMonduzzi Ed.,Bologna(ITALY),198
COLOUR DOPPLER ANALYSIS OF OVARIAN AND UTERINE ARTERIES IN WOMEN WITH HYPOESTROGENIC AMENORRHOEA
No full textBackground: This is a clinically-controlled study designed to investigate uterine and ovarian blood flow in patients with hypoestrogenic amenorrhoea. Methods: Twelve women with hypoestrogenic amenorrhoea and 13 eumenorrhoeic subjects (controls) were enrolled. Colour and pulsed Doppler was used to visualize the uterine and ovarian arteries and the blood vessels within the ovarian stroma in both groups. Four blood flow indices were calculated: the pulsatility index, the resistance index, the peak systolic velocity and the end-diastolic velocity. Results: Peak systolic velocity underwent the most significant change in amenorrhoeic patients, being significantly lower in comparison with that of controls, both in the uterine (P = 0.0009) and ovarian (P = 0.001) arteries. Compared with controls, the end-diastolic velocity of the ovarian artery was significant lower (P = 0.039) in amenorrhoeic patients, and was also lower in the uterine artery (though not statistically significantly so). A reduction in blood flow was also evident in the ovarian stroma in amenorrhoeic patients. Conclusions: The significant reduction in blood flow observed in hypoestrogenic amenorrhoea suggests that estrogens play an important role in regulating both uterine and ovarian blood flow
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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