(Q30955092)

27 June 2017

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title

Association of asthma therapy and Churg-Strauss syndrome: an analysis of postmarketing surveillance data (English)

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27 June 2017

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Churg-Strauss syndrome

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1

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Richard Beasley

object named as

Richard Beasley

3

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author name string

Eric T Smith

2

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27 June 2017

Harold Nelson

4

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27 June 2017

Xionghu Yang

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27 June 2017

David Fram

6

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27 June 2017

June S Almenoff

7

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27 June 2017

publication date

1 July 2004

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27 June 2017

published in

Clinical Therapeutics

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27 June 2017

volume

26

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27 June 2017

issue

7

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27 June 2017

page(s)

1092-1104

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Recent advances in the diagnosis of Churg-Strauss syndrome

27 June 2017

cites work

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

Churg-Strauss syndrome

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

Churg-Strauss syndrome. Clinical study and long-term follow-up of 96 patients

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7 January 2021

Leukotriene modifiers and Churg-Strauss syndrome: adverse effect or response to corticosteroid withdrawal?

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

Churg-Strauss Syndrome in Patients Receiving Montelukast as Treatment for Asthma

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

The relationship of asthma therapy and Churg-Strauss syndrome: NIH workshop summary report

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

Churg-Strauss syndrome in two patients receiving montelukast

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

Churg-Strauss syndrome

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

Prevalence of Churg-Strauss syndrome, vasculitis, eosinophilia and associated conditions: retrospective analysis of 58 prescription-event monitoring cohort studies

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7 January 2021

Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA's spontaneous reports database

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports

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7 January 2021

Antipsychotic drugs and heart muscle disorder in international pharmacovigilance: data mining study

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

A data mining approach for signal detection and analysis

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7 January 2021

Data-mining analyses of pharmacovigilance signals in relation to relevant comparison drugs

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7 January 2021

Glucose intolerance with atypical antipsychotics

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7 January 2021

Quantitative methods in pharmacovigilance: focus on signal detection

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7 January 2021

A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions.

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7 January 2021

Pulmonary infiltrates, eosinophilia, and cardiomyopathy following corticosteroid withdrawal in patients with asthma receiving zafirlukast

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

Statistical techniques for signal generation: the Australian experience

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

Disproportionality analysis using empirical Bayes data mining: a tool for the evaluation of drug interactions in the post‐marketing setting

1 reference

https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

On the assessment of adverse drug reactions from spontaneous reporting systems: the influence of under-reporting on odds ratios

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https://api.crossref.org/works/10.1016%2FS0149-2918%2804%2990181-6

7 January 2021

10.1016/S0149-2918(04)90181-6

Identifiers

DOI

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27 June 2017

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