Literature DB >> 29736905

Comment on Falconer et al. (2018) - the need for specific adverse drug reaction outcomes.

Aurel Iuga1, Ash Genaidy1.   

Abstract

Mesh：

Year:  2018        PMID： 29736905      PMCID： PMC6046497          DOI： 10.1111/bcp.13610

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN： 0306-5251            Impact factor:   4.335


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  10 in total

1.  A new risk scheme to predict warfarin-associated hemorrhage: The ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) Study.

Authors:  Margaret C Fang; Alan S Go; Yuchiao Chang; Leila H Borowsky; Niela K Pomernacki; Natalia Udaltsova; Daniel E Singer
Journal:  J Am Coll Cardiol       Date:  2011-07-19       Impact factor: 24.094

2.  A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey.

Authors:  Ron Pisters; Deirdre A Lane; Robby Nieuwlaat; Cees B de Vos; Harry J G M Crijns; Gregory Y H Lip
Journal:  Chest       Date:  2010-03-18       Impact factor: 9.410

3.  Comment on Falconer et al. (2018) - the need for specific adverse drug reaction outcomes.

Authors:  Aurel Iuga; Ash Genaidy
Journal:  Br J Clin Pharmacol       Date:  2018-05-07       Impact factor: 4.335

4.  Clinical classification schemes for predicting hemorrhage: results from the National Registry of Atrial Fibrillation (NRAF).

Authors:  Brian F Gage; Yan Yan; Paul E Milligan; Amy D Waterman; Robert Culverhouse; Michael W Rich; Martha J Radford
Journal:  Am Heart J       Date:  2006-03       Impact factor: 4.749

5.  Predictive variables for major bleeding events in patients presenting with documented acute venous thromboembolism. Findings from the RIETE Registry.

Authors:  Nuria Ruíz-Giménez; Carmen Suárez; Rocío González; José Antonio Nieto; José Antonio Todolí; Angel Luis Samperiz; Manuel Monreal
Journal:  Thromb Haemost       Date:  2008-07       Impact factor: 5.249

6.  Systematic review of predictive risk models for adverse drug events in hospitalized patients.

Authors:  Nazanin Falconer; Michael Barras; Neil Cottrell
Journal:  Br J Clin Pharmacol       Date:  2018-02-22       Impact factor: 4.335

7.  Predicting risk of upper gastrointestinal bleed and intracranial bleed with anticoagulants: cohort study to derive and validate the QBleed scores.

Authors:  Julia Hippisley-Cox; Carol Coupland
Journal:  BMJ       Date:  2014-07-28

8.  The ORBIT bleeding score: a simple bedside score to assess bleeding risk in atrial fibrillation.

Authors:  Emily C O'Brien; DaJuanicia N Simon; Laine E Thomas; Elaine M Hylek; Bernard J Gersh; Jack E Ansell; Peter R Kowey; Kenneth W Mahaffey; Paul Chang; Gregg C Fonarow; Michael J Pencina; Jonathan P Piccini; Eric D Peterson
Journal:  Eur Heart J       Date:  2015-09-29       Impact factor: 29.983

9.  Predicting AKI in emergency admissions: an external validation study of the acute kidney injury prediction score (APS).

Authors:  L E Hodgson; B D Dimitrov; P J Roderick; R Venn; L G Forni
Journal:  BMJ Open       Date:  2017-03-08       Impact factor: 2.692

10.  Prediction and detection models for acute kidney injury in hospitalized older adults.

Authors:  Rohit J Kate; Ruth M Perez; Debesh Mazumdar; Kalyan S Pasupathy; Vani Nilakantan
Journal:  BMC Med Inform Decis Mak       Date:  2016-03-29       Impact factor: 2.796
  10 in total
  2 in total

1.  Reply to Iuga and Genaidy 'Comment on Falconer et al. (2018) - the need for specific adverse drug reaction outcomes'.

Authors:  Nazanin Falconer; Michael Barras; Neil Cottrell
Journal:  Br J Clin Pharmacol       Date:  2018-06-05       Impact factor: 4.335

2.  Comment on Falconer et al. (2018) - the need for specific adverse drug reaction outcomes.

Authors:  Aurel Iuga; Ash Genaidy
Journal:  Br J Clin Pharmacol       Date:  2018-05-07       Impact factor: 4.335
  2 in total

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