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Editor-in-chief
Maria Stella Graziani

Deputy Director
Martina Zaninotto

Associate Editors
Ferruccio Ceriotti
Davide Giavarina
Bruna Lo Sasso
Giampaolo Merlini
Martina Montagnana
Andrea Mosca
Paola Pezzati
Rossella Tomaiuolo
Matteo Vidali

EIC Assistant
Francesco Busardò

International Advisory Board Khosrow Adeli Canada
Sergio Bernardini Italy
Marcello Ciaccio Italy
Eleftherios Diamandis Canada
Philippe Gillery France
Kjell Grankvist Sweden
Hans Jacobs The Netherlands
Eric Kilpatrick UK
Magdalena Krintus Poland
Giuseppe Lippi Italy
Mario Plebani Italy
Sverre Sandberg Norway
Ana-Maria Simundic Croatia
Tommaso Trenti Italy
Cas Weykamp The Netherlands
Maria Willrich USA
Paul Yip Canada


Publisher
Biomedia srl
Via L. Temolo 4, 20126 Milano

Responsible Editor
Giuseppe Agosta

Editorial Secretary
Chiara Riva
Biomedia srl
Via L. Temolo 4, 20126 Milano
Tel. 0245498282
email: biochimica.clinica@sibioc.it

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ISSN print: 0393 – 0564
ISSN digital: 0392- 7091



BC: Articoli scritti da Gruppo di Studio SIBioC Medicina di Laboratorio basata sull’evidenza

Le revisioni della letteratura biomedica
The reviews of the biomedical literature
<p>The reviews of the biomedical literature aim to summarize and disseminate the knowledge about a specific topic intended as a disease treatment or a diagnostic biomarker. They include narrative and systematic reviews (SR). Narrative reviews simply describe the features about a specific topic. On the contrary, SR are performed to answer to a specific question by using a standardized methodology to obtain results that may be reproduced by other authors. SR may include studies of diagnostic or therapeutic efficacy and prognostic value according to the scope. SR of treatment efficacy are generally focused on the efficacy of a new treatment in comparison with the one considered as reference, commonly used in the clinical therapeutic protocols. SR focused on diagnostic test accuracy generally retrieve data on diagnostic sensitivity and specificity from original studies in order to estimate pooled likelihood ratios or predictive values. Finally, SR of prognostic studies explore the ability of a specific marker to predict the outcome of interest. A SR implies to plan a systematic literature search strategy by Medline and other biomedical databases, defining inclusion criteria for study selection. Statistical analyses allow to pool data in a meta-analysis to provide an estimates of the effect power. This paper summarize the main features of different type of SR to help readers in the comprension of a SR and meta-analysis. Their utility in clinical practice and biomedical research is also illustrated.</p>
Biochimica Clinica ; 41(2) 175-182
Documenti - Documents