Evidence mapPaperPMID 31256702Full record

ArticleJournal of the American Heart Association2019

Hidden Burden of Electronic Health Record-Identified Familial Hypercholesterolemia: Clinical Outcomes and Cost of Medical Care.

Prashant Patel, Yirui Hu, Amy Kolinovsky, Zhi Geng, Jeffrey Ruhl, Sarath Krishnamurthy, Caroline deRichemond, Ayesha Khan, H Lester Kirchner, Raghu Metpally and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Measuring Costs of Cardiovascular Disease Prevention for Patients with Familial Hypercholesterolemia in Administrative Claims Data.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2024
    Article
  6. Review
  7. Article
  8. Article
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  10. Review
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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

16 authors at 3 institutions in 1 country.

Prashant Patel1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA.
Yirui Hu2 Department of Biomedical and Translational Informatics Geisinger Clinic Danville PA.
Amy Kolinovsky2 Department of Biomedical and Translational Informatics Geisinger Clinic Danville PA.
Zhi Geng3 Division of Health Economics Geisinger Clinic Danville PA.
Jeffrey Ruhl1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA.
Sarath Krishnamurthy4 Weis Center for Research Geisinger Clinic Danville PA.
Caroline deRichemond1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA.
Ayesha Khan1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA.
H Lester Kirchner2 Department of Biomedical and Translational Informatics Geisinger Clinic Danville PA.
Raghu Metpally4 Weis Center for Research Geisinger Clinic Danville PA.
Laney K Jones6 Center for Pharmacy Innovation and Outcomes Geisinger Danville PA.
Amy C Sturm5 Genomic Medicine Institute Geisinger Danville PA.
David Carey4 Weis Center for Research Geisinger Clinic Danville PA.
Susan Snyder3 Division of Health Economics Geisinger Clinic Danville PA.
Marc S Williams5 Genomic Medicine Institute Geisinger Danville PA.
Vishal C Mehra1 Department of Cardiology Geisinger Clinic and Medical Center Danville PA.
Geisinger Medical Center · USCenter for Innovation · USGeisinger Neuroscience Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Familial hypercholesterolemia ( FH ), is a historically underdiagnosed, undertreated, high-risk condition that is associated with a high burden of cardiovascular morbidity and mortality. In this study, we use a population-based approach using electronic health record ( EHR )-based algorithms to identify FH . We report the major adverse cardiovascular events, mortality, and cost of medical care associated with this diagnosis. Methods and Results In our 1.18 million EHR- eligible cohort, International Classification of Diseases, Ninth Revision ( ICD -9) code-defined hyperlipidemia was categorized into FH and non- FH groups using an EHR algorithm designed using the modified Dutch Lipid Clinic Network criteria. Major adverse cardiovascular events, mortality, and cost of medical care were analyzed. A priori associated variables/confounders were used for multivariate analyses using binary logistic regression and linear regression with propensity score-based weighted methods as appropriate. EHR FH was identified in 32 613 individuals, which was 2.7% of the 1.18 million EHR cohort and 13.7% of 237 903 patients with hyperlipidemia. FH had higher rates of myocardial infarction (14.77% versus 8.33%; P<0.0001), heart failure (11.82% versus 10.50%; P<0.0001), and, after adjusting for traditional risk factors, significantly correlated to a composite major adverse cardiovascular events variable (odds ratio, 4.02; 95% CI, 3.88-4.16; P<0.0001), mortality (odds ratio, 1.20; CI, 1.15-1.26; P<0.0001), and higher total revenue per-year (incidence rate ratio, 1.30; 95% CI, 1.28-1.33; P<0.0001). Conclusions EHR -based algorithms discovered a disproportionately high prevalence of FH in our medical cohort, which was associated with worse outcomes and higher costs of medical care. This data-driven approach allows for a more precise method to identify traditionally high-risk groups within large populations allowing for targeted prevention and therapeutic strategies.

Indexed as

Health Care CostsMortalityAgedAlgorithmsCholesterolCholesterol, HDLCholesterol, LDLElectronic Health RecordsFemaleHeart FailureHumansHypercholesterolemiaHyperlipoproteinemia Type IIMaleMiddle AgedMyocardial InfarctionCholesterolCholesterol, HDLCholesterol, LDLTriglyceridesfamilial hypercholesterolemiamajor adverse cardiovascular eventsmortalitysubclinical atherosclerosis risk factorsubclinical familial hypercholesterolemia

Identifiers

PMID31256702
PMCPMC6662375
OpenAlexW2954688640

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.