Use of AUC7 adjuvant carboplatin in patients with stage I seminoma: systematic review of the literature

2018 ◽  
Vol 104 (2) ◽  
pp. 83-87
Author(s):  
Salvatore Siracusano ◽  
Alberto Diminutto ◽  
Antonio Benito Porcaro ◽  
Maria Angela Cerruto ◽  
Walter Artibani

Purpose: Among the adjuvant options to be proposed to patients with stage I seminoma after orchiectomy, the administration of a single cycle of carboplatin, at the dosage reaching an area under the curve of 7 mg/mL/min (AUC7), is a relatively recent introduction in clinical practice. Methods: On April 1, 2016, we performed a systematic review of the literature to identify studies on the use of AUC7 carboplatin in the adjuvant setting for stage I seminoma patients. The studies were identified by searching the PubMed electronic database from July 2005 up to April 2016. The aim of this review is to clarify the state of art of this adjuvant option. Results: Adjuvant AUC7 carboplatin is an effective adjuvant treatment, able to reduce relapse rate in stage I seminoma patients. The heterogeneity of the methods for estimation and measurement of glomerular filtration rate represents an important issue in the administration of the optimal dose of carboplatin. Even with the lack of validated prognostic factors for relapses, a risk-adapted choice is commonly used to identify the optimal patient to be proposed this treatment. Conclusions: One cycle of AUC7 carboplatin is an effective, feasible, and safe adjuvant option to be discussed with stage I seminoma patients.

2015 ◽  
Vol 13 (5) ◽  
pp. 428-434 ◽  
Author(s):  
Fausto Petrelli ◽  
Andrea Coinu ◽  
Mary Cabiddu ◽  
Mara Ghilardi ◽  
Karen Borgonovo ◽  
...  

Cephalalgia ◽  
2008 ◽  
Vol 28 (5) ◽  
pp. 474-483 ◽  
Author(s):  
BA Robertson ◽  
ME Morris

This systematic review evaluates the strength of the evidence for the role of cervical musculoskeletal dysfunction in migraine. In this review, cervical musculoskeletal dysfunction will refer to the abnormal sensory afferentation from cervical region structures contained within the receptive field of the trigeminocervical nucleus. Electronic database searches using MEDLINE, PubMed and CINAHL were performed, and 17 studies investigating cervical musculoskeletal dysfunction in people with migraine were selected for review. The methodological quality of the included studies was assessed by two independent reviewers using a customized checklist. The review found that intersubject differences were inadequately reported and controlled, which resulted in grouping of participants with varying pathologies and symptoms. A diverse range of assessment procedures was used by the reviewed studies, which made comparison of their findings difficult. The assessment procedures were mainly used to quantify the degree of cervical musculoskeletal dysfunction, rather than to identify a cause and effect relationship between cervical structure and migrainous pain. Although animal study evidence proposes a role for cervical musculoskeletal dysfunction in migraine, this systematic review of the literature found that there is currently no convincing evidence to confirm this phenomenon in humans.


2012 ◽  
Vol 22 (4) ◽  
pp. 721-736 ◽  
Author(s):  
Lucie Rychetnik ◽  
Kirsten McCaffery ◽  
Rachael Morton ◽  
Les Irwig

2018 ◽  
Vol 36 (10) ◽  
pp. 448-458 ◽  
Author(s):  
Friedemann Zengerling ◽  
Frank Kunath ◽  
Katrin Jensen ◽  
Christian Ruf ◽  
Stefanie Schmidt ◽  
...  

Entropy ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. 675 ◽  
Author(s):  
Danae Carreras-García ◽  
David Delgado-Gómez ◽  
Fernando Llorente-Fernández ◽  
Ana Arribas-Gil

Nowadays, across the most important problems faced by health centers are those caused by the existence of patients who do not attend their appointments. Among others, these patients cause loss of revenue to the health centers and increase the patients’ waiting list. In order to tackle these problems, several scheduling systems have been developed. Many of them require predicting whether a patient will show up for an appointment. However, obtaining these estimates accurately is currently a challenging problem. In this work, a systematic review of the literature on predicting patient no-shows is conducted aiming at establishing the current state-of-the-art. Based on a systematic review following the PRISMA methodology, 50 articles were found and analyzed. Of these articles, 82% were published in the last 10 years and the most used technique was logistic regression. In addition, there is significant growth in the size of the databases used to build the classifiers. An important finding is that only two studies achieved an accuracy higher than the show rate. Moreover, a single study attained an area under the curve greater than the 0.9 value. These facts indicate the difficulty of this problem and the need for further research.


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