Evidence map›Paper›PMID 26642879›Full record

ArticleBMC family practice2015

Risk of exacerbation in chronic obstructive pulmonary disease: a primary care retrospective cohort study.

Josep Montserrat-Capdevila, Pere Godoy, Josep Ramon Marsal, Ferran Barbé, Leonardo Galván

Abstract read
In one paragraph

Article in BMC family practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Lung ageing and COPD: is there a role for ageing in abnormal tissue repair?European respiratory review : an official journal of the European Respiratory Society · 2017
    Review
  12. Call to action: improving primary care for women with COPD.NPJ primary care respiratory medicine · 2017
    Review
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

5 authors.

Josep Montserrat-CapdevilaBiomedical Research Institute (IRB) of Lleida, Lleida, Catalonia, Spain. jmontser@alumni.unav.es.
Pere GodoyBiomedical Research Institute (IRB) of Lleida, Lleida, Catalonia, Spain.
Josep Ramon MarsalLleida Research Support Unit, Primary Care Research Institute (IDIAP) Jordi Gol. Autonomous University of Barcelona, Lleida, Catalonia, Spain.
Ferran BarbéBiomedical Research Institute (IRB) of Lleida, Lleida, Catalonia, Spain.
Leonardo GalvánPharmacy Unit. Catalan Health Service, Lleida, Catalonia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risk of exacerbation in chronic obstructive pulmonary disease (COPD) depends on the severity of disease and other less well known factors. Predictive models of exacerbation are more accurate than the forced expiratory volume in one second (FEV1). The objective was to design a model that predicts the risk of exacerbation in COPD.

methodsRetrospective cohort study with data from the electronic medical records of patients diagnosed with COPD in the province of Lleida (Spain). A total of 2501 patients were followed during 3 years. The dependent variable was acute exacerbation; independent variables were: clinical parameters, spirometry results, severity of disease, influenza and 23-valent pneumococcal immunisation, comorbidities, smoking and history of exacerbation. The association of these variables with disease exacerbation was measured by the adjusted odds ratio using a logistic regression model.

resultsMean age at the start of the study was 68.38 years (SD = 11.60) and 74.97% patients were men; severity of disease was considered mild in 50.82% of patients, moderate in 35.31%, severe in 9.44% and very severe in 4.44%. During the three year study period up to 83.17% of patients experienced at least one exacerbation. Predictive factors in the model were age, gender, previous exacerbations, influenza and 23-valent pneumococcal immunisations, number of previous visits to the General Practice and severity (GOLD), with an area under the ROC curve (AUROC) of 0.70.

conclusionsThis model can identify patients at high risk of acute exacerbation. Preventive measures and modification of treatment in these high-risk patients would improve survival.

Indexed as

Health Knowledge, Attitudes, PracticeAgedDisease ProgressionFemaleFollow-Up StudiesHumansMaleMorbidityOdds RatioPrimary Health CarePulmonary Disease, Chronic ObstructiveRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexSpain

Identifiers

PMID26642879
PMCPMC4672528

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Registered trials

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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.