Literature DB >> 28241194

Meta-analyses Can Be Credible and Useful: A New Standard.

John P A Ioannidis1.   

Abstract

Mesh：

Year:  2017        PMID： 28241194     DOI： 10.1001/jamapsychiatry.2017.0035

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN： 2168-622X            Impact factor:   21.596


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  4 in total

1.  How to find a meta-analysis you can trust.

Authors:  R L Nelson
Journal:  Tech Coloproctol       Date:  2019-08-28       Impact factor: 3.781

Review 2.  Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis.

Authors:  Andrea Cipriani; Toshi A Furukawa; Georgia Salanti; Anna Chaimani; Lauren Z Atkinson; Yusuke Ogawa; Stefan Leucht; Henricus G Ruhe; Erick H Turner; Julian P T Higgins; Matthias Egger; Nozomi Takeshima; Yu Hayasaka; Hissei Imai; Kiyomi Shinohara; Aran Tajika; John P A Ioannidis; John R Geddes
Journal:  Lancet       Date:  2018-02-21       Impact factor: 79.321

3.  Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol.

Authors:  Anneka Tomlinson; Toshi A Furukawa; Orestis Efthimiou; Georgia Salanti; Franco De Crescenzo; Ilina Singh; Andrea Cipriani
Journal:  Evid Based Ment Health       Date:  2019-10-23

4.  Developing a synthetic psychosocial stress measure and harmonizing CVD-risk data: a way forward to GxE meta- and mega-analyses.

Authors:  Abanish Singh; Michael A Babyak; Beverly H Brummett; William E Kraus; Ilene C Siegler; Elizabeth R Hauser; Redford B Williams
Journal:  BMC Res Notes       Date:  2018-07-24
  4 in total

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