Evidence map›Paper›PMID 25164146›Full record

ArticleNPJ primary care respiratory medicine2014

Prediction of COPD-specific health-related quality of life in primary care COPD patients: a prospective cohort study.

Lara Siebeling, Jammbe Z Musoro, Ronald B Geskus, Marco Zoller, Patrick Muggensturm, Anja Frei, Milo A Puhan, Gerben ter Riet

Abstract read
In one paragraph

Article in NPJ primary care respiratory medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

8 authors.

Lara SiebelingDepartment of General Practice, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
Jammbe Z MusoroDepartment of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
Ronald B GeskusDepartment of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
Marco ZollerInstitute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland.
Patrick MuggensturmDepartment of Respiratory Medicine, University Hospital of Zurich, Zurich, Switzerland.
Anja Frei1] Institute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland [2] Horten Centre for Patient-Oriented Research, University of Zurich, Zurich, Switzerland.
Milo A PuhanInstitute of Social and Preventive Medicine, University of Zurich, Zurich, Switzerland.
Gerben ter RietDepartment of General Practice, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth-related quality of life (HRQL) is an important patient-reported outcome for chronic obstructive pulmonary disease (COPD).

aimWe developed models predicting chronic respiratory questionnaire (CRQ) dyspnoea, fatigue, emotional function, mastery and overall HRQL at 6 and 24 months using predictors easily available in primary care.

methodsWe used the "least absolute shrinkage and selection operator" (lasso) method to build the models and assessed their predictive performance.

resultswere displayed using nomograms.

resultsFor each domain-specific CRQ outcome, the corresponding score at baseline was the best predictor. Depending on the domain, these predictions could be improved by adding one to six other predictors, such as the other domain-specific CRQ scores, health status and depression score. To predict overall HRQL, fatigue and dyspnoea scores were the best predictors. Predicted and observed values were on average the same, indicating good calibration. Explained variance ranged from 0.23 to 0.58, indicating good discrimination.

conclusionsTo predict COPD-specific HRQL in primary care COPD patients, previous HRQL was the best predictor in our models. Asking patients explicitly about dyspnoea, fatigue, depression and how they cope with COPD provides additional important information about future HRQL whereas FEV1 or other commonly used predictors add little to the prediction of HRQL.

Indexed as

Pulmonary Disease, Chronic ObstructiveQuality of LifeAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedPrognosisProspective StudiesSurveys and Questionnaires

Identifiers

PMID25164146
PMCPMC4373411

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.