Evidence map›Paper›PMID 34156470›Full record

ArticleEuropean heart journal. Quality of care & clinical outcomes2022

Case-ascertainment of acute myocardial infarction hospitalizations in cancer patients: a cohort study using English linked electronic health data.

Briana Coles, Lucy Teece, Clive Weston, Mark A de Belder, Clare Oliver-Williams, Catherine A Welch, Mark J Rutherford, Paul C Lambert, Patrick Bidulka, Lizz Paley and 5 more

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Article in European heart journal. Quality of care & clinical outcomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

15 authors.

Briana ColesBiostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK.
Lucy TeeceBiostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK.
Clive WestonDepartment of Cardiology, Glangwili General Hospital, Carmarthen, UK.
Mark A de BelderNational Institute for Cardiovascular Outcomes Research (NICOR), Barts Health NHS Trust, London, UK.
Clare Oliver-WilliamsBiostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK.
Catherine A WelchBiostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK.
Mark J RutherfordBiostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK.
Paul C LambertBiostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK.
Patrick BidulkaDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Lizz PaleyNational Cancer Registration and Analysis Service, Public Health England, London, UK.
Dorothea NitschDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
John DeanfieldNational Institute for Cardiovascular Outcomes Research (NICOR), Barts Health NHS Trust, London, UK.
Mick D PeakeNational Cancer Registration and Analysis Service, Public Health England, London, UK.
David AdlamDepartment of Cardiovascular Sciences and NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK.
Michael J SweetingBiostatistics Research Group, Department of Health Sciences, University of Leicester, Leicester, UK.ORCID 0000-0003-0980-8965

Funding

British Heart Foundation SP/16/5/32415Cancer Research UK 21134Cancer Research UK C53325/A21134Department of Health
6 · The paper itself

Abstract

aimsTo assess the recording and accuracy of acute myocardial infarction (AMI) hospital admissions between two electronic health record databases within an English cancer population over time and understand the factors that affect case-ascertainment. METHODS AND

resultsWe identified 112 502 hospital admissions for AMI in England 2010-2017 from the Myocardial Ischaemia National Audit Project (MINAP) disease registry and hospital episode statistics (HES) for 95 509 patients with a previous cancer diagnosis up to 15 years prior to admission. Cancer diagnoses were identified from the National Cancer Registration Dataset (NCRD). We calculated the percentage of AMI admissions captured by each source and examined patient characteristics associated with source of ascertainment. Survival analysis assessed whether differences in survival between case-ascertainment sources could be explained by patient characteristics. A total of 57 265 (50.9%) AMI admissions in patients with a prior diagnosis of cancer were captured in both MINAP and HES. Patients captured in both sources were younger, more likely to have ST-segment elevation myocardial infarction and had better prognosis, with lower mortality rates up to 9 years after AMI admission compared with patients captured in only one source. The percentage of admissions captured in both data sources improved over time. Cancer characteristics (site, stage, and grade) had little effect on how AMI was captured.

conclusionMINAP and HES define different populations of patients with AMI. However, cancer characteristics do not substantially impact on case-ascertainment. These findings support a strategy of using multiple linked data sources for observational cardio-oncological research into AMI.

Indexed as

Myocardial InfarctionNeoplasmsCohort StudiesElectronic Health RecordsHospitalizationHumansRegistriesCancerCardio-oncologyCase-ascertainmentHESMINAPMyocardial infarction

Identifiers

PMID34156470
PMCPMC8728035

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