Evidence map›Paper›PMID 29511004›Full record

ArticleBMJ open2018

Population-based analysis of patients with COPD in Catalonia: a cohort study with implications for clinical management.

Emili Vela, Ákos Tényi, Isaac Cano, David Monterde, Montserrat Cleries, Anna Garcia-Altes, Carme Hernandez, Joan Escarrabill, Josep Roca

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02956395 (Protocol for Regional Implementation of Community-based Collaborative Management of Complex Chronic Patients), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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.

NCT02956395 nacompletednot on this map

Protocol for Regional Implementation of Community-based Collaborative Management of Complex Chronic Patients (CCP)

TypeinterventionalSponsorHospital Clinic of BarcelonaRan2018 to 2020Enrolled3,000ConditionsChronic Disease, Integrated Care, TelemedicineArmsIntegrated care intervention
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 28 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Emili VelaArea d'Atenció Sanitària, Servei Català de la Salut, Barcelona, Catalonia, Spain.
Ákos TényiHospital Clinic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.
Isaac CanoHospital Clinic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.
David MonterdeInstitut Català de la Salut, Serveis Centrals, Catalunya, Spain.
Montserrat CleriesArea d'Atenció Sanitària, Servei Català de la Salut, Barcelona, Catalonia, Spain.
Anna Garcia-AltesAgencia de Qualitat i Avaluació Sanitaries de Catalunya (AQuAS), Catalunya, Spain.
Carme HernandezHospital Clinic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.
Joan EscarrabillHospital Clinic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.
Josep RocaHospital Clinic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.
Universitat de Barcelona · ESAgència de Qualitat i Avaluació Sanitàries de Catalunya · ESCentre for Biomedical Network Research on Rare Diseases · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESInstitut Català de la Salut · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical management of patients with chronic obstructive pulmonary disease (COPD) shows potential for improvement provided that patients' heterogeneities are better understood. The study addresses the impact of comorbidities and its role in health risk assessment.

objectiveTo explore the potential of health registry information to enhance clinical risk assessment and stratification.

designFixed cohort study including all registered patients with COPD in Catalonia (Spain) (7.5 million citizens) at 31 December 2014 with 1-year (2015) follow-up.

methodsA total of 264 830 patients with COPD diagnosis, based on the International Classification of Diseases (Ninth Revision) coding, were assessed. Performance of multiple logistic regression models for the six main dependent variables of the study: mortality, hospitalisations (patients with one or more admissions; all cases and COPD-related), multiple hospitalisations (patients with at least two admissions; all causes and COPD-related) and users with high healthcare costs. Neither clinical nor forced spirometry data were available.

resultsMultimorbidity, assessed with the adjusted morbidity grouper, was the covariate with the highest impact in the predictive models, which in turn showed high performance measured by the C-statistics: (1) mortality (0.83), (2 and 3) hospitalisations (all causes: 0.77; COPD-related: 0.81), (4 and 5) multiple hospitalisations (all causes: 0.80; COPD-related: 0.87) and (6) users with high healthcare costs (0.76). Fifteen per cent of individuals with highest healthcare costs to year ratio represented 59% of the overall costs of patients with COPD.

conclusionsThe results stress the impact of assessing multimorbidity with the adjusted morbidity grouper on considered health indicators, which has implications for enhanced COPD staging and clinical management. TRIAL REGISTRATION NUMBER: NCT02956395.

Indexed as

Chronic DiseaseHealth Care CostsHospitalizationMultimorbidityAdultAgedAged, 80 and overCohort StudiesComorbidityFemaleHumansInternational Classification of DiseasesLogistic ModelsMaleMiddle AgedPopulation Surveillanceco-morbiditiesCOPDhealth risk assessmentmultimorbiditypopulation-based analysispredictive modelling

Identifiers

PMID29511004
PMCPMC5855237
OpenAlexW2790515407

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.