Institution
Princess Anne Hospital
Healthcare•Southampton, United Kingdom•
About: Princess Anne Hospital is a healthcare organization based out in Southampton, United Kingdom. It is known for research contribution in the topics: Population & Breast cancer. The organization has 423 authors who have published 709 publications receiving 44790 citations.
Topics: Population, Breast cancer, Cancer, Pregnancy, Germline mutation
Papers published on a yearly basis
Papers
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3 citations
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TL;DR: A case of post-operative bleeding after a posterior fascial defect repair which demonstrated bleeding from a branch of the anterior pudendal artery which had crossed the midline making identification difficult during vaginal exploration is described.
Abstract: We describe a case of post-operative bleeding after a posterior fascial defect repair. This was refractive to exploration and vaginal packing so laparotomy would have been necessary. Superselective cannulation demonstrated bleeding from a branch of the anterior pudendal artery which had crossed the midline making identification difficult during vaginal exploration. The bleeding vessel was embolised using a mixture of PVA300 and Spongistan gel foam and the bleeding ceased. The use of embolisation in the peri-operative phase is discussed.
3 citations
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TL;DR: Research into cytokines in normal reproductive processes as well as diseases is of paramount importance as the potential health and therapeutic benefits are large.
Abstract: Cytokines are proteins important in cell-cell signalling. They are involved in many physiological processes such as ovulation, menstruation and pregnancy. Equally, they play an important role in conditions such as preterm labour, pre-eclampsia, endometriosis and adhesion formation and reformation. Research into cytokines in normal reproductive processes as well as diseases is of paramount importance as the potential health and therapeutic benefits are large.
3 citations
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TL;DR: An increased vigilance in women who have large fibroids with unusual features in symptoms or during surgery is suggested, and pre-surgical imaging will help to make diagnosis, and good surgical outcomes can be achieved by a multidisciplinary surgical approach.
Abstract: Leiomyomas (fibroid) arise from the smooth muscle of the myometrium and are benign in nature. Intavascular leiomyomatosis is an unusual and rare condition where the fibroid grows into the pelvic veins and inferior vena cava and sometimes extends into the heart chambers. We present a case where a woman presented to us with multiple fibroids and underwent an abdominal hysterectomy. The diagnosis was not suspected before the surgery but diagnosed on histopathology. The patient underwent further surgery to remove the fibroids from the pelvic veins and the inferior vena cava. This condition has been reported in only few case reports around the world. In view of the rarity of this condition, the diagnosis can be easily missed. We suggest an increased vigilance in women who have large fibroids with unusual features in symptoms or during surgery. Pre-surgical imaging will help to make diagnosis, and good surgical outcomes can be achieved by a multidisciplinary surgical approach.
3 citations
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Queen Mary University of London1, University of Murcia2, University of London3, University Hospital of Lausanne4, Basque Government5, University of Leicester6, Ulster University7, University of Graz8, French Institute of Health and Medical Research9, University of Oxford10, Health Service Executive11, Newcastle University12, Otto-von-Guericke University Magdeburg13, University Medical Center Groningen14, Princess Anne Hospital15
TL;DR: There were no substantial differences between independent analyses of each subgroup and hierarchical models when using the EUROCAT anomaly subgroups, suggesting that considering each anomaly separately remains an appropriate method for the detection of potential changes in prevalence by surveillance systems.
Abstract: Background: Surveillance of congenital anomalies is important to identify potential teratogens. Despite known associations between different anomalies, current surveillance methods examine trends within each subgroup separately. We aimed to evaluate whether hierarchical statistical methods that combine information from several subgroups simultaneously would enhance current surveillance methods using data collected by EUROCAT, a European network of population-based congenital anomaly registries. Methods: Ten-year trends (2003 to 2012) in 18 EUROCAT registries over 11 countries were analyzed for the following groups of anomalies: neural tube defects, congenital heart defects, digestive system, and chromosomal anomalies. Hierarchical Poisson regression models that combined related subgroups together according to EUROCAT's hierarchy of subgroup coding were applied. Results from hierarchical models were compared with those from Poisson models that consider each congenital anomaly separately. Results: Hierarchical models gave similar results as those obtained when considering each anomaly subgroup in a separate analysis. Hierarchical models that included only around three subgroups showed poor convergence and were generally found to be over-parameterized. Larger sets of anomaly subgroups were found to be too heterogeneous to group together in this way. Conclusion: There were no substantial differences between independent analyses of each subgroup and hierarchical models when using the EUROCAT anomaly subgroups. Considering each anomaly separately, therefore, remains an appropriate method for the detection of potential changes in prevalence by surveillance systems. Hierarchical models do, however, remain an interesting alternative method of analysis when considering the risks of specific exposures in relation to the prevalence of congenital anomalies, which could be investigated in other studies.
3 citations
Authors
Showing all 423 results
Name | H-index | Papers | Citations |
---|---|---|---|
Richard S. Houlston | 110 | 768 | 50101 |
Andrew Collins | 100 | 684 | 40634 |
Alan Jackson | 99 | 743 | 42969 |
Declan G. Murphy | 95 | 820 | 37076 |
Mark A. Hanson | 93 | 545 | 38985 |
Diana Eccles | 90 | 354 | 36226 |
Ian G. Campbell | 71 | 303 | 18596 |
Nick S. Macklon | 68 | 261 | 15593 |
Stuart L. Stanton | 63 | 201 | 13464 |
Amit Sharma | 61 | 551 | 13597 |
Judith Rankin | 57 | 273 | 11193 |
Pietro Liò | 54 | 613 | 20137 |
Denis C. Shields | 54 | 223 | 12677 |
Abdul H. Sultan | 53 | 219 | 11528 |
Anneke Lucassen | 51 | 193 | 9851 |