Evidence map›Paper›PMID 33758503›Full record

ArticleInternational journal of chronic obstructive pulmonary disease

Prediction of Mortality Using Different COPD Risk Assessments - A 12-Year Follow-Up.

Åsa Athlin, Maaike Giezeman, Mikael Hasselgren, Scott Montgomery, Karin Lisspers, Björn Ställberg, Christer Janson, Josefin Sundh

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Article in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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.

Åsa AthlinSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Maaike GiezemanSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Mikael HasselgrenSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Scott MontgomeryClinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, S-701 82, Sweden.
Karin LisspersDepartment of Public Health and Caring Sciences, Family Medicine and Preventive Medicine, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-3107-4462
Björn StällbergDepartment of Public Health and Caring Sciences, Family Medicine and Preventive Medicine, Uppsala University, Uppsala, Sweden.ORCID 0000-0001-8497-7326
Christer JansonDepartment of Medical Sciences, Respiratory, Allergy & Sleep Research, Uppsala University, Uppsala, Sweden.ORCID 0000-0001-5093-6980
Josefin SundhDepartment of Respiratory Medicine, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA multidimensional approach in the risk assessment of chronic obstructive pulmonary disease (COPD) is preferable. The aim of this study is to compare the prognostic ability for mortality by different COPD assessment systems; spirometric staging, classification by GOLD 2011, GOLD 2017, the age, dyspnea, obstruction (ADO) and the dyspnea, obstruction, smoking, exacerbation (DOSE) indices. PATIENTS AND

methodsA total of 490 patients diagnosed with COPD were recruited from primary and secondary care in central Sweden in 2005. The cohort was followed until 2017. Data for categorization using the different assessment systems were obtained through questionnaire data from 2005 and medical record reviews between 2000 and 2003. Kaplan-Meier survival analyses and Cox proportional hazard models were used to assess mortality risk. Receiver operating characteristic curves estimated areas under the curve (AUC) to evaluate each assessment systems´ ability to predict mortality.

resultsBy the end of follow-up, 49% of the patients were deceased. The mortality rate was higher for patients categorized as stage 3-4, GOLD D in both GOLD classifications and those with a DOSE score above 4 and ADO score above 8. The ADO index was most accurate for predicting mortality, AUC 0.79 (95% CI 0.75-0.83) for all-cause mortality and 0.80 (95% CI 0.75-0.85) for respiratory mortality. The AUC values for stages 1-4, GOLD 2011, GOLD 2017 and DOSE index were 0.73, 0.66, 0.63 and 0.69, respectively, for all-cause mortality.

conclusionAll of the risk assessment systems predict mortality. The ADO index was in this study the best predictor and could be a helpful tool in COPD risk assessment.

Indexed as

Pulmonary Disease, Chronic ObstructiveFollow-Up StudiesHumansPrognosisRisk AssessmentSeverity of Illness IndexSwedenADO indexchronic obstructive pulmonary diseaseDOSE indexGOLD classificationmortalityprediction

Identifiers

PMID33758503
PMCPMC7981171

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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.