ArticleBMJ (Clinical research ed.)2000
Identifying patients with ischaemic heart disease in general practice: cross sectional study of paper and computerised medical records.
Article in BMJ (Clinical research ed.), 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Identification of validated case definitions for medical conditions used in primary care electronic medical record databases: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Systematic review of scope and quality of electronic patient record data in primary care.BMJ (Clinical research ed.) · 2003Pooled it
- Identification of major cardiovascular events in patients with diabetes using primary care data.BMC health services research · 2016Article
- Effect of Health Literacy on Quality of Life amongst Patients with Ischaemic Heart Disease in Australian General Practice.PloS one · 2016Article
- Impact of multiple-dose versus single-dose inhaler devices on COPD patients' persistence with long-acting β₂-agonists: a dispensing database analysis.NPJ primary care respiratory medicine · 2014Observational
- Variations in cardiovascular disease under-diagnosis in England: national cross-sectional spatial analysis.BMC cardiovascular disorders · 2011Article
- Potentially inappropriate prescribing and cost outcomes for older people: a national population study.British journal of clinical pharmacology · 2010Article
- Ethnic disparities in coronary heart disease management and pay for performance in the UK.Journal of general internal medicine · 2009Article
- Quality of chronic disease care in general practice: the development and validation of a provider interview tool.BMC family practice · 2007Article
- Characterizing new users of NSAIDs before and after rofecoxib withdrawal.British journal of clinical pharmacology · 2007Article
- Chest pain and subsequent consultation for coronary heart disease: a prospective cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2007Article
- A composite screening tool for medication reviews of outpatients: general issues with specific examples.Drugs & aging · 2007Review
- The influence of guidelines on the use of statins: analysis of prescribing trends 1998-2002.British journal of clinical pharmacology · 2005Article
- Influence of socioeconomic status on the quality of prescribing in the elderly -- a population based study.British journal of clinical pharmacology · 2004Article
- Recent developments in secondary prevention and cardiac rehabilitation after acute myocardial infarction.BMJ (Clinical research ed.) · 2004Review
- Review
- Missing, mediocre, or merely obsolete? An evaluation of UK data sources for coronary heart disease.Journal of epidemiology and community health · 2003Article
- Repeated nitrate prescriptions as a potential marker for angina pectoris. A comparison with medical information from the Rotterdam Study.Pharmacy world & science : PWS · 2003Article
- Association between practice size and quality of care of patients with ischaemic heart disease: cross sectional study.BMJ (Clinical research ed.) · 2003Article
- Atrial fibrillation in a primary care practice: prevalence and management.BMC family practice · 2002Article
Corrections and comments
- Commented on by
- Commented on by
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo identify patients with ischaemic heart disease by using a practice computer and to estimate the work required to do so.
designCross sectional study. Data from the notes and from the computer records of 1680 patients were used to build a database. This was used to compare different methods of identifying patients with ischaemic heart disease.
setting11 general practices in the Battersea primary care group in south London. SUBJECTS: 1 in 40 random sample of patients aged 45 or older.
main outcome measuresNumbers of patients identified with ischaemic heart disease.
resultsThe combination of the Read code for ischaemic heart disease (G3) and a prescription for a nitrate had a 73% sensitivity and a yield (100/positive predictive value) of one case of ischaemic heart disease for every 1.2 sets of notes reviewed. By searching the records of patients also receiving aspirin, atenolol, digoxin, or a statin, the sensitivity was increased to 96% but the yield fell to one in three.
conclusionAlthough commonly used to identify cases, a computer search for G3 code or nitrate missed almost 30% of patients with ischaemic heart disease. A substantially higher percentage of patients can be identified by adding other drugs to the search strategy.
Indexed as
Identifiers
What OpenQuestion holds
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.