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Cited by 855

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

St. George's Respiratory Questionnaire: MCID

Open access
Jones, Paul W·2005·COPD: Journal of Chronic Obstructive Pulmonary Disease

Abstract

The SGRQ is a disease-specific measure of health status for use in COPD. A number of methods have been used for estimating its minimum clinically important difference (MCID). These include both expert and patient preference-based estimates. Anchor-based methods have also been used. The calculated MCID from those studies was consistently around 4 units, regardless of assessment method. By contrast, the MCID calculated using distribution-based methods varied across studies and permitted no consistent estimate. All measurements of clinical significance contain sample and measurement error. They also require value judgements, if not about the calculation of the MCID itself then about the anchors used to estimate it. Under these circumstances, greater weight should be placed upon the overall body of evidence for an MCID, rather than one single method. For that reason, estimates of MCID should be used as indicative values. Methods of analysing clinical trial results should reflect this, and use appropriate statistical tests for comparison with the MCID. Treatments for COPD that produced an improvement in SGRQ of the order of 4 units in clinical trials have subsequently found wide acceptance once in clinical practice, so it seems reasonable to expect any new treatment proposed for COPD to produce an advantage over placebo that is not significantly inferior to a 4-unit difference.

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Crossref · 10.1081/copd-200050513

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Metadata

Authors
Jones, P. W.
Venue
COPD: Journal of Chronic Obstructive Pulmonary Disease
Published
2005-01
Volume
2
Issue
1
Pages
75-79
ISSN
  • 1541-2555 (ISSN-L)
  • 1541-2563
OpenAlex
W2112433656
Cited by
855
References
8
FWCI
5.18
Type
journal article
Language
en
Open access
bronze

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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