Evidence map›Paper›PMID 20978856›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2011

Applying area-under-the-curve analysis to enhance interpretation of response profiles: an application to sleep quality scores in patients with fibromyalgia.

Andrew G Bushmakin, Joseph C Cappelleri, Gergana Zlateva, Alesia Sadosky

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Andrew G BushmakinPfizer Inc., Global Research and Development, 50 Pequot Ave, New London, CT 06320, USA.
Joseph C Cappelleri
Gergana Zlateva
Alesia Sadosky

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo introduce an application of area-under-the-curve (AUC) that can enrich interpretation of response analysis and illustrate this method on sleep quality scores in patients with fibromyalgia.

methodsData were from a 14-week, randomized trial conducted in 750 patients with fibromyalgia treated with placebo or pregabalin (300, 450, or 600 mg/day); sleep quality was assessed daily by the patient using an 11-point numeric rating scale.

resultsResponse profiles were implemented for responders who improved (or stayed the same) numerically in sleep quality scores from baseline to week 14 and, separately, for non-responders who worsened (numerically less favorable scores at week 14). Differences between pregabalin and placebo were assessed using an AUC analysis. Improvement in sleep quality was significantly better with pregabalin and can be interpreted as if pregabalin responders improved by 10.8% (300 mg), 14.7% (450 mg), and 19.0% (600 mg) above the placebo responders. Conversely, decrement in sleep quality was worse with placebo and can be interpreted as if placebo non-responders worsened by 3.6% (300 mg), 2.9% (450 mg), and 3.9% (600 mg) over pregabalin non-responders.

conclusionsThe application of an AUC analysis to response profiles for responders and non-responders can enrich the interpretation of sleep quality scores in patients with fibromyalgia. The method can be applied more generally to facilitate and enhance the interpretation of treatment differences on outcomes.

Indexed as

Area Under CurveSleepAnalgesicsData Interpretation, StatisticalFibromyalgiagamma-Aminobutyric AcidHumansPregabalinAnalgesicsgamma-Aminobutyric AcidPregabalin

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.