1,721,031 research outputs found
Pathologie: MicroRNAs: Möglichkeiten in der Tumorpathologie am Beispiel des Schilddrüsenkarzinoms
No full textBedeutung und Epidemiologie der Endokarditis
No full textDie Pathogenese der infektiösen Endokarditis wurde 1885 auf nahezu visionäre Weise von Sir Wiliam Osler ausführlich beschrieben. Trotzdem brauchte es fast ein Jahrhundert, um die Richtigkeit dieser Abläufe mit Studien zu belegen. Die epidemiologischen Merkmale der infektiösen Endokarditis, einer mikrobiologischen Infektion der inneren Herzoberfläche, verändern sich in den entwickelten Ländern als Folge steigender Lebenserwartung, neuer prädisponierender Faktoren und steigender Anzahl der nosokomialen Fälle. Trotz der Verbesserungen in Diagnostik und Therapie bleibt die infektiöse Endokarditis jedoch eine ernstzunehmende Erkrankung
PIK3CA in colorectal cancer
No full textPIK3CA, the catalytic subunit of PI3K, is mutated in many different tumours, including colorectal cancer. Mutations of PIK3CA have been reported in 10 – 20% of colorectal cancer, about 80% of mutations found in two hot spots in exon 9 and exon 20. In RAS wild-type colorectal cancers, PIK3CA mutations have been associated with a worse clinical outcome and with a negative prediction of a response to targeted therapy by anti-EGFR monoclonal antibodies. However, these findings have not been confirmed in all studies and subsequent more detailed analysis has revealed that these effects may be restricted to mutations in Exon 20. Finally, mutations in PIK3CA may be the long sought biomarker for successful adjuvant therapy with aspirin in patients with colorectal cancer. Therefore, PIK3CA mutations appear to be a promising predictive biomarker; however, further data are needed to conclusively define the impact of somatic mutations in the PIK3CA gene for the management of patients with colorectal cancer
Pathologie: Micro-ARN: possibilités dans la pathologie tumorale à l’exemple du cancer de la thyroïde
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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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