Evidence map›Paper›PMID 25733826›Full record

Observational studyInternational journal of chronic obstructive pulmonary disease2015

Clinical variables impacting on the estimation of utilities in chronic obstructive pulmonary disease.

Marc Miravitlles, Alicia Huerta, Manuel Valle, Patricia García-Sidro, Carles Forné, Carlos Crespo, José Luis López-Campos

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in International journal of chronic obstructive pulmonary disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Burden of Disease Among Exacerbating Patients with COPD Treated with Triple Therapy in Spain.International journal of chronic obstructive pulmonary disease · 2021
    Observational
  3. Correlation between disease severity factors and EQ-5D utilities in chronic obstructive pulmonary disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020
    Article
  4. Observational
  5. Article
  6. Observational
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marc MiravitllesPneumology Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain ; CIBER de Enfermedades Respiratorias (CIBERES), Tres Cantos, Madrid, Spain.
Alicia HuertaMarket Access Department, GlaxoSmithKline, Tres Cantos, Madrid, Spain.
Manuel VallePneumology Department, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain.
Patricia García-SidroPneumology Department, Hospital Universitario de la Plana, Vila-real, Castellón, Spain.
Carles FornéHealth Economics and Outcome Strategies Department, Oblikue Consulting, Barcelona, Spain.
Carlos CrespoHealth Economics and Outcome Strategies Department, Oblikue Consulting, Barcelona, Spain ; Statistics Department, University of Barcelona, Barcelona, Spain.
José Luis López-CamposCIBER de Enfermedades Respiratorias (CIBERES), Tres Cantos, Madrid, Spain ; Unidad Médico Quirúrgica de Enfermedades Respiratorias, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío, Universidad de Sevilla, Sevilla, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHealth utilities are widely used in health economics as a measurement of an individual's preference and show the value placed on different health states over a specific period. Thus, health utilities are used as a measure of the benefits of health interventions in terms of quality-adjusted life years. This study aimed to determine the demographic and clinical variables significantly associated with health utilities for chronic obstructive pulmonary disease (COPD) patients. PATIENTS AND

methodsThis was a multicenter, observational, cross-sectional study conducted between October 2012 and April 2013. Patients were aged ≥40 years, with spirometrically confirmed COPD. Utility values were derived from the preference-based generic questionnaire EQ-5D-3L applying weighted Spanish societal preferences. Demographic and clinical variables associated with utilities were assessed by univariate and multivariate linear regression models.

resultsThree hundred and forty-six patients were included, of whom 85.5% were male. The mean age was 67.9 (standard deviation [SD] =9.7) years and the mean forced expiratory volume in 1 second (%) was 46.2% (SD =15.5%); 80.3% were former smokers, and the mean smoking history was 54.2 (SD =33.2) pack-years. Median utilities (interquartile range) were 0.81 (0.26) with a mean value of 0.73 (SD =0.29); 22% of patients had a utility value of 1 (ceiling effect) and 3.2% had a utility value lower than 0. The factors associated with utilities in the multivariate analysis were sex (beta =-0.084, 95% confidence interval [CI]: -0.154; -0.013 for females), number of exacerbations the previous year (-0.027, 95% CI: -0.044; -0.010), and modified Medical Research Council Dyspnea Scale (mMRC) score (-0.123 [95% CI: -0.185; -0.061], -0.231 [95% CI: -0.301; -0.161], and -0.559 [95% CI: -0.660; -0.458] for mMRC scores 2, 3, and 4 versus 1), all P<0.05.

conclusionMultivariate analysis showed that female sex, frequent exacerbations, and an increased level of dyspnea were the main factors associated with reduced utility values in patients with COPD.

Indexed as

Health StatusSurveys and QuestionnairesAgedCross-Sectional StudiesDisease ProgressionDyspneaFemaleForced Expiratory VolumeHealth ResourcesHumansLinear ModelsLungMaleMiddle AgedMultivariate AnalysisPulmonary Disease, Chronic ObstructiveCOPDhealth-related quality of lifehealth utilitymultivariate linear regression

Identifiers

PMID25733826
PMCPMC4337593

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.