Literature DB >> 35713777

Comment on: "Drug-Drug Interaction of the Sodium Glucose Co-transporter 2 Inhibitors with Statins and Myopathy: A Disproportionality Analysis Using Adverse Events Reporting Data".

Yoshihiro Noguchi1.   

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Year:  2022        PMID: 35713777     DOI: 10.1007/s40264-022-01191-2

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.228


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  12 in total

1.  Detecting drug-drug interactions using a database for spontaneous adverse drug reactions: an example with diuretics and non-steroidal anti-inflammatory drugs.

Authors:  E P van Puijenbroek; A C Egberts; E R Heerdink; H G Leufkens
Journal:  Eur J Clin Pharmacol       Date:  2000-12       Impact factor: 2.953

2.  Myopathy with DPP-4 inhibitors and statins in the real world: investigating the likelihood of drug-drug interactions through the FDA adverse event reporting system.

Authors:  Ippazio Cosimo Antonazzo; Elisabetta Poluzzi; Emanuele Forcesi; Francesco Salvo; Antoine Pariente; Giulio Marchesini; Fabrizio De Ponti; Emanuel Raschi
Journal:  Acta Diabetol       Date:  2019-06-15       Impact factor: 4.280

3.  A missed protective drug-drug interaction of DPP-4 inhibitors and statins on myopathy risk.

Authors:  Oliver Kuss; Wolfgang Rathmann
Journal:  Acta Diabetol       Date:  2019-11-06       Impact factor: 4.280

4.  Comparison of Signal Detection Algorithms Based on Frequency Statistical Model for Drug-Drug Interaction Using Spontaneous Reporting Systems.

Authors:  Yoshihiro Noguchi; Tomoya Tachi; Hitomi Teramachi
Journal:  Pharm Res       Date:  2020-04-30       Impact factor: 4.200

5.  Detection algorithms and attentive points of safety signal using spontaneous reporting systems as a clinical data source.

Authors:  Yoshihiro Noguchi; Tomoya Tachi; Hitomi Teramachi
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

6.  Authors' Reply to Noguchi's comment on: "Drug-Drug Interaction of the Sodium Glucose Co-transporter 2 Inhibitors with Statins and Myopathy: A Disproportionality Analysis Using Adverse Events Reporting Data."

Authors:  John-Michael Gamble; Wajd Alkabbani
Journal:  Drug Saf       Date:  2022-06-17       Impact factor: 5.228

7.  Detecting signals of drug-drug interactions in a spontaneous reports database.

Authors:  Bharat T Thakrar; Sabine Borel Grundschober; Lucette Doessegger
Journal:  Br J Clin Pharmacol       Date:  2007-05-15       Impact factor: 4.335

8.  A Feasibility Study of Drug-Drug Interaction Signal Detection in Regular Pharmacovigilance.

Authors:  Sara Hult; Daniele Sartori; Tomas Bergvall; Sara Hedfors Vidlin; Birgitta Grundmark; Johan Ellenius; G Niklas Norén
Journal:  Drug Saf       Date:  2020-08       Impact factor: 5.606

Review 9.  Review of Statistical Methodologies for Detecting Drug-Drug Interactions Using Spontaneous Reporting Systems.

Authors:  Yoshihiro Noguchi; Tomoya Tachi; Hitomi Teramachi
Journal:  Front Pharmacol       Date:  2019-11-08       Impact factor: 5.810

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  1 in total

1.  Authors' Response to Yoshihiro Noguchi's Comment on: "A Disproportionality Analysis of Drug-Drug Interactions of Tizanidine and CYP1A2 Inhibitors from the FDA Adverse Event Reporting System (FAERS)".

Authors:  Daniel C Malone; Lorenzo Villa-Zapata; Ainhoa Gómez-Lumbreras; John Horn; Malinda S Tan; Richard D Boyce
Journal:  Drug Saf       Date:  2022-10-12       Impact factor: 5.228

  1 in total

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