Dokument: Deskriptive Analyse nicht-randomisierter Studien aus Cochrane Reviews hinsichtlich ihrer Verfügbarkeit in PubMed [Poster]

Titel:Deskriptive Analyse nicht-randomisierter Studien aus Cochrane Reviews hinsichtlich ihrer Verfügbarkeit in PubMed [Poster]
Weiterer Titel:Descriptive analysis of non-randomized studies included in Cochrane Reviews regarding their availability in PubMed [Poster]
URL für Lesezeichen:https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=50244
URN (NBN):urn:nbn:de:hbz:061-20190723-112528-3
Kollektion:Publikationen
Sprache:Englisch
Dokumententyp:Veranstaltungen, Tagungen, Ereignisse » Tagungsbericht, Konferenzschrift, Ausstellung
Medientyp:Text
Autoren: Metzendorf, Maria-Inti [Autor]
PD Dr Richter, Bernd [Autor]
Bandeira-Echtler, Elizabeth [Autor]
Hausner, Elke [Autor]
Waffenschmidt, Siw [Autor]
Dateien:
[Dateien anzeigen]Adobe PDF
[Details]131,5 KB in einer Datei
[ZIP-Datei erzeugen]
Dateien vom 16.07.2019 / geändert 16.07.2019
Stichwörter:Information Retrieval; PubMed; Non-Randomized Studies; Evidence Synthesis
Beschreibungen:Siehe englisches Abstract.

Background: Randomized controlled trials (RCT) are relatively easy to identify due to the availability of well-performing, validated search filters. This does not hold true for non-randomized study (NRS) designs. There are many uncertainties regarding the identification of NRS in bibliographic databases within the context of systematic review elaboration. One uncertainty relates to the bibliographic databases in which NRS can be predominantly identified.

Objectives: To describe the percentage of NRS indexed in PubMed and analyze the results according to topic and type of intervention by investigating a comprehensive set of Cochrane Reviews (CR) including NRS.

Methods: CR evaluating NRS were identified via the Cochrane Database of Systematic Reviews up to 20 October 2016. For the generation of the reference set, we screened CR evaluating NRS according to predefined inclusion criteria. For example, the CR had to evaluate an intervention on a health-related question and had to include study types beyond RCTs or controlled clinical trials (CCT). In addition, only CR including fewer than 65 studies were considered in order to avoid bias related to a few CR containing many studies. The citations of the studies included in the CR were identified via the reviews’ bibliographies and the corresponding PubMed identification numbers (PMID) extracted from PubMed. The studies were classified following the study design classification scheme by Hartling et al 2011.

Results and conclusions: A total of 271 CR from 41 different Cochrane groups were eligible for data extraction. The reference set included 2873 studies classified as NRS. We are currently calculating the percentages of studies indexed in PubMed and will present results according to topic and type of intervention during the Cochrane Colloquium.
Quelle:Cochrane Colloquium, 16-18 September 2018, Edinburgh, UK
Lizenz:In Copyright
Urheberrechtsschutz
Fachbereich / Einrichtung:Medizinische Fakultät » Institute » Abteilung für Allgemeinmedizin
Dokument erstellt am:23.07.2019
Dateien geändert am:23.07.2019
english
Benutzer
Status: Gast
Aktionen