Evidence map›Paper›PMID 12530765›Full record

ArticleEuropean journal of epidemiology2001

Validation of general practitioner-diagnosed COPD in the UK General Practice Research Database.

J B Soriano, W C Maier, G Visick, N B Pride

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in European journal of epidemiology, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 16% 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.

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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 97 citations in OpenAlex.

  1. Validity of diagnostic coding within the General Practice Research Database: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2010
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  7. Validity and interpretation of spirometric recordings to diagnose COPD in UK primary care.International journal of chronic obstructive pulmonary disease · 2017
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  17. Adjusting for COPD severity in database research: developing and validating an algorithm.International journal of chronic obstructive pulmonary disease · 2011
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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

4 authors at 2 institutions in 1 country.

J B SorianoWorldwide Epidemiology, GlaxoSmithKline Research and Development, Greenford, Middlesex, UK. jbs42397@gsk.com
W C Maier
G Visick
N B Pride
GlaxoSmithKline (United Kingdom) · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation in large, automated databases can be useful to study the natural history of respiratory diseases in the community, but the validity of definitions needs to be demonstrated.

aimTo compare a simple computer algorithm that identifies patients diagnosed with chronic obstructive pulmonary disease (COPD) and severity of COPD in the UK General Practice Research Database (GPRD) with general practitioner (GP) clinical records, to evaluate the utility of this algorithm for identifying COPD patients and for distinguishing COPD from asthma.

methodsUsing a computer algorithm identifying patients by diagnostic codes and allotting three grades of severity by drug use, a sample of 225 patients in the GPRD with a diagnosis of COPD and an age-sex matched group of 75 patients with asthma were randomly selected. Questionnaires were posted to the GPs of the 300 selected patients who were asked to state diagnosis and to grade severity based on the individual's medical record. Agreement was quantified with the kappa index, an estimator that accounts for agreement that occurs by chance.

resultsResponse rate was 85.7%. The concordance between COPD diagnosis by the GPRD algorithm with that of the GP was quantified as a kappa of 0.52, and the concordance between COPD severity by the GPRD algorithm with that of the GP was quantified as a kappa of 0.54. The kappa index for COPD diagnosis increased with increasing severity of COPD (0.46, 0.59, and 0.68 for mild, moderate and severe COPD, respectively), but similar good agreement was observed in a stratified analysis by sex, age, smoking status and number of comorbidities.

conclusionsIt is concluded that the GPRD algorithms used for diagnosis and severity of COPD are a good screening tool for COPD in the UK general population, and satisfactorily differentiate COPD from asthma patients, particularly when disease is moderate or severe.

Indexed as

AlgorithmsDatabases, FactualAgedAsthmaComorbidityDiagnosis, DifferentialEnglandFamily PracticeFemaleHumansMaleMiddle AgedPulmonary Disease, Chronic ObstructiveRisk FactorsSensitivity and SpecificitySeverity of Illness Index

Identifiers

PMID12530765
OpenAlexW131453520

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.