Evidence mapping based on systematic reviews of therapeutic interventions for gastrointestinal stromal tumors (GIST)

Abstract Background Gastrointestinal Stromal Tumours (GISTs) are the most common mesenchymal tumours. Currently, different pharmacological and surgical options are used to treat localised and metastatic GISTs, although this research field is broad and the body of evidence is scattered and expanding. Our objectives are to identify, describe and organise the current available evidence for GIST through an evidence mapping approach. Methods We followed the methodology of Global Evidence Mapping (GEM). We searched Pubmed, EMBASE, The Cochrane Library and Epistemonikos in order to identify systematic reviews (SRs) with or without meta-analyses published between 1990 and March 2016. Two authors assessed eligibility and extracted data. Methodological quality of the included systematic reviews was assessed using AMSTAR. We organised the results according to identified PICO questions and presented the evidence map in tables and a bubble plot. Results A total of 17 SRs met eligibility criteria. These reviews included 66 individual studies, of which three quarters were either observational or uncontrolled clinical trials. Overall, the quality of the included SRs was moderate or high. In total, we extracted 14 PICO questions from them and the corresponding results mostly favoured the intervention arm. Conclusions The most common type of study used to evaluate therapeutic interventions in GIST sarcomas has been non-experimental studies. However, the majority of the interventions are reported as beneficial or probably beneficial by the respective authors of SRs. The evidence mapping is a useful and reliable methodology to identify and present the existing evidence about therapeutic interventions.

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PID https://www.doi.org/10.6084/m9.figshare.c.3874438
PID https://www.doi.org/10.6084/m9.figshare.c.3874438.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.3874438.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.3874438
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Author Ballesteros, Mónica
Author Montero, Nadia
Author López-Pousa, Antonio
Author Urrútia, Gerard
Author Solà, Ivan
Author Rada, Gabriel
Author Pardo-Hernandez, Hector
Author Bonfill, Xavier
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Collected From Datacite
Hosted By figshare
Publication Date 2017-01-01
Publisher Figshare
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Language UNKNOWN
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keyword FOS: Biological sciences
keyword FOS: Computer and information sciences
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::0af4c71b14e14a574541672b93708c10
Author jsonws_user
Last Updated 19 December 2020, 19:01 (CET)
Created 19 December 2020, 19:01 (CET)