Evidence map›Paper›PMID 41710257›Full record

ArticleClinical epidemiology2026

Positive Predictive Values of Familial Hypercholesterolemia Diagnoses in the Danish National Patient Registry and the Danish Familial Hypercholesterolemia Registry - A Validation Study.

Jakob Knold, Christian Bork, Martin Snoer, Merete Heitmann, Lia Evi Bang, Helle Kanstrup, Kristoffer Lund Hansen, Berit Storgaard Hedegaard, Kristian Korsgaard Thomsen, Bo Kobberø Lauridsen and 15 more

Abstract read
In one paragraph

Article in Clinical epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

25 authors.

Jakob KnoldDepartment of Cardiology, Odense University Hospital, Odense, Denmark.ORCID 0009-0002-6605-6528
Christian BorkDepartment of Cardiology, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0001-5233-2902
Martin SnoerDepartment of Cardiology, Zeeland University Hospital, Roskilde, Denmark.ORCID 0000-0001-7188-629X
Merete HeitmannDepartment of Cardiology, University Hospital Bispebjerg-Frederiksberg, Copenhagen, Denmark.ORCID 0000-0002-7306-6620
Lia Evi BangDepartment of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Helle KanstrupDepartment of Cardiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-3693-4871
Kristoffer Lund HansenDepartment of Cardiology, Hospital of Southern Jutland, Aabenraa, Denmark.ORCID 0009-0009-4817-2710
Berit Storgaard HedegaardDepartment of Cardiology, Viborg-Silkeborg-Skive Regional Hospital, Viborg, Denmark.ORCID 0000-0001-8926-7331
Kristian Korsgaard ThomsenClinical Institute, University of Southern Denmark, Odense, Denmark.ORCID 0000-0001-8909-3634
Bo Kobberø LauridsenDepartment of Cardiology, Herlev-Gentofte Hospital, Copenhagen, Denmark.ORCID 0009-0000-1134-1554
Ann BovinDepartment of Cardiology, Hospital of Lille Baelt, Vejle, Denmark.ORCID 0000-0001-8338-2697
Alberte Aspaas LundquistDepartment of Paediatrics and Adolescent Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.ORCID 0000-0002-8574-9824
Hassan Kussai Salem Al TamimiDepartment of Cardiology, Naestved, Slagelse, Ringsted Hospital, Slagelse, Denmark.ORCID 0009-0000-7140-4983
Jens Uffe Brorholt-PetersenDepartment of Cardiology, Goedstrup Hospital, Goedstrup, Denmark.
Thomas Emil ChristensenDepartment of Cardiology, Amager-Hvidovre Hospital, Copenhagen, Denmark.ORCID 0000-0002-9280-5089
Mette Lykke Norgaard BertelsenDepartment of Cardiology, North Zeeland University Hospital, Hilleroed, Denmark.
Thomas GohrDepartment of Cardiology, Lille Baelt Hospital, Kolding, Denmark.ORCID 0009-0005-0608-6532
Annie EllermannDepartment of Pediatrics, Holbaek Hospital, Holbaek, Denmark.ORCID 0009-0004-4731-9980
Camilla Plambeck HansenThe Danish Healthcare Quality Institute, Aalborg, Denmark.ORCID 0000-0002-0805-9504
Anette WeisThe Danish Healthcare Quality Institute, Aalborg, Denmark.ORCID 0009-0003-0452-4944
Philip Rising NielsenThe Danish Healthcare Quality Institute, Aalborg, Denmark.ORCID 0009-0006-7040-1143
Erik Berg SchmidtDepartment of Cardiology, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0002-0623-5666
Henning BundgaardInstitute for Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-0563-7049
Finn Lund HenriksenDepartment of Cardiology, Odense University Hospital, Odense, Denmark.ORCID 0000-0002-1192-532X
Danish Familial Hypercholesterolemia Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Danish Familial Hypercholesterolemia (FH) Registry (DFH) was established in 2020 to monitor the detection rate of FH and quality of care provided among patients with FH. DFH is nationwide, and together with the Danish National Patient Registry (DNPR) includes more than 10,000 registered cases of FH. However, the validity of FH diagnoses in the DNPR and DFH is unknown. Purpose: We aimed to investigate the positive predictive value of FH cases registered in the DNPR and DFH. Methods: We retrospectively retrieved a nationwide random sample of 800 patients with an FH diagnosis registered in the DNPR between 1 Results: We found a positive predictive value of 63.8% (95% CI: 60.7; 67.0) for an FH diagnosis recorded in the DNPR (510/800), and 88.1% (95% CI: 82.2; 92.3%) for those diagnosed with genetic FH (141/160). A primary diagnosis of FH registered by cardiological departments had a positive predictive value of 71.0% (95% CI: 67.2; 74.6%) (417/587), and 88.3% (95% CI: 82.6; 92.8%) for genetic FH (113/128), respectively. The positive predictive value of FH cases registered in the DFH was 83.0% (95% CI: 78.9; 86.5) (318/383). Conclusion: The validity of FH cases in the DFH was high, while the validity of an FH diagnosis in the DNPR was relatively low. However, restricting the analysis to a primary diagnosis obtained from cardiological departments may be used to improve the validity of FH diagnoses in the DNPR.

Indexed as

epidemiologyfamilial hypercholesterolemialipidologyvalidity

Identifiers

PMID41710257
PMCPMC12911983

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