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Spremljanje bolnikov z rakom dojk po zaključenem zdravljenju
Get PDFPrevalenca raka dojk hitro narašča, s tem pa tudi breme spremljanja bolnic z rakom dojk. Namen spremljanja bolnic z rakom dojk je odkrivanje zgodnje ponovitve bolezni in novega primarnega raka dojk, obvladovanje kratko- in dolgoročnih posledic zdravljenja in čim hitrejša vrnitev v normalen življenjski ritem, spodbujanje k nadaljevanju morebitnega zdravljenja in promocija zdravega življenjskega sloga. Pogostost kontrol je odvisna od ogroženosti za ponovitev bolezni. Bolnice prva tri leta spremljamo na 3-6 mesecev, od 3. do 5. leta na 6-12 mesecev in nato enkrat letno. Anamneza in klinični pregled sta osnova vsake kontrole, enkrat letno pa opravimo tudi mamografijo. Spremljanje z laboratorijskimi preiskavami, slikanjem prsnih organov, scintigrafijo skeleta, UZ trebuha in drugimi preiskavami ne izboljša preživetja pri asimptomatskih bolnicah, zato te preiskave opravimo le, če so navzoči klinični simptomi in znaki, sumljivi za ponovitev bolezni. V prispevku navajamo predloge za dolgoročno rešitev spremljanja bolnic z rakom dojk
Two Nomogram Examples for Predicting the Likelihood of Nonsentinel Lymph Nodes Metastases in Early Breast Cancer Patients
Get PDFNomograms are useful tools in clinical medicine. In the article, two nomograms for predicting the likelihood of nonsentinel lymph node metastases in early breast cancer patients are presented. The first one was created in the Memorial Sloan Kettering Cancer Center. We validated this nomogram in the patients grouped by the preoperative ultrasound examination of the axilla and found important differences between the groups. The second nomogram created at the Institute of Oncology Ljubljana includes also the information on the preoperative US examination of the axilla, which is a strong independent variable. We found this nomogram performing better in our population of patients
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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