Evidence map›Paper›PMID 34624661›Full record

ArticleInternational journal of medical informatics2021

The potential role of EHR data in optimizing eligibility criteria definition for cardiovascular outcome trials.

Jae Hyun Kim, Alex M Butler, Casey N Ta, Yingcheng Sun, Mathew S Maurer, Chunhua Weng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Jae Hyun KimDepartment of Biomedical Informatics, Columbia University, New York, NY 10032, USA.
Alex M ButlerDepartment of Biomedical Informatics, Columbia University, New York, NY 10032, USA.
Casey N TaDepartment of Biomedical Informatics, Columbia University, New York, NY 10032, USA.
Yingcheng SunDepartment of Biomedical Informatics, Columbia University, New York, NY 10032, USA.
Mathew S MaurerDivision of Cardiology, Department of Medicine, Columbia University, New York, NY 10032, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, NY 10032, USA. Electronic address: chunhua@columbia.edu.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Bridging the Semantic Gap Between Research Eligibility Criteria and Clinical DataR01LM009886 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WENG, CHUNHUA · 2009 to 2020
$5.3M
NCATS NIH HHS UL1 TR001873NLM NIH HHS R01 LM009886
6 · The paper itself

Abstract

backgroundCardiovascular outcome trials (CVOTs) include patients with high risks for cardiovascular events based on specific inclusion criteria. Little is known about the impact of such inclusion criteria on patient accrual and the incidence rate of cardiovascular events. MATERIALS AND

methodsWe evaluated the impact of criteria on the accrual and the number of cardiovascular events in a cohort of 1544 diabetes patients identified from the clinical data warehouse of New York Presbyterian Hospital / Columbia University Irving Medical Center.

resultsThe highest incidence rate of the composite events (i.e., cardiovascular mortality, stroke, and myocardial infarction) was observed when the inclusion criteria seek patients with underlying cardiovascular diseases or age ≥ 60 with at least two of the risk factors including duration of diabetes, hypertension, dyslipidemia, smoking status, and albuminuria.

conclusionOur study shows that the electronic health records could be utilized to optimize the inclusion criteria while balancing study inclusiveness and number of events.

Indexed as

Cardiovascular DiseasesDiabetes MellitusHypertensionMyocardial InfarctionElectronic Health RecordsHumansRisk FactorsCardiovascular outcome trialsClinical trialElectronic health recordsEligibility criteriaMajor adverse cardiovascular events

Identifiers

PMID34624661
PMCPMC8571001

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Registered trials

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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.