Evidence map›Paper›PMID 31777768›Full record

ArticleJournal of the Endocrine Society2019

Differentiating Familial Chylomicronemia Syndrome From Multifactorial Severe Hypertriglyceridemia by Clinical Profiles.

Louis St L O'Dea, James MacDougall, Veronica J Alexander, Andres Digenio, Brant Hubbard, Marcello Arca, Patrick M Moriarty, John J P Kastelein, Eric Bruckert, Handrean Soran and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 62 citations in OpenAlex.

  1. Dietary Interventions for Hypertriglyceridemia.Current atherosclerosis reports · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Novel Therapeutics for Familial Chylomicronemia Syndrome.Current atherosclerosis reports · 2025
    Review
  9. Review
  10. An overview of persistent chylomicronemia: much more than meets the eye.Current opinion in endocrinology, diabetes, and obesity · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Magic bubbles: utilizing histotripsy to modulate the tumor microenvironment and improve systemic anti-tumor immune responses.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2023
    Review
  16. Low circulating PCSK9 levels inFrontiers in genetics · 2022
    Article
  17. The Evolving Story of Multifactorial Chylomicronemia Syndrome.Frontiers in cardiovascular medicine · 2022
    Review
  18. Article
  19. Article
  20. Review
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

13 authors at 11 institutions in 6 countries.

Louis St L O'DeaAkcea Therapeutics, Boston, Massachusetts.
James MacDougallBioBridges, Wellesley, Massachusetts.
Veronica J AlexanderIonis Pharmaceuticals, Carlsbad, California.
Andres DigenioAkcea Therapeutics, Boston, Massachusetts.
Brant HubbardAkcea Therapeutics, Boston, Massachusetts.ORCID 0000-0003-0870-630X
Marcello ArcaDepartment of Internal Medicine and Medical Specialties, Sapienza University of Rome, Rome, Italy.
Patrick M MoriartyDepartment of Medicine, Division of Clinical Pharmacology, University of Kansas Medical Center, Kansas City, Kansas.
John J P KasteleinDepartment of Vascular Medicine, Academic Medical Center, University of Amsterdam, AZ Amsterdam, Netherlands.
Eric BruckertInstitut E3M et IHU Cardiométabolique, Hôpital Pitié-Salpêtrière, Paris, France.
Handrean SoranManchester University Hospital NHS Trust, Manchester, England.
Joseph L WitztumUniversity of California, San Diego, La Jolla, California.
Robert A HegeleRobarts Research Institute, Western University, London, Ontario, Canada.
Daniel GaudetDepartment of Medicine, Université de Montréal and ECOGENE 21, Chicoutimi, Quebec, Canada.
Akebia Therapeutics (United States) · USAmsterdam UMC Location University of Amsterdam · NLBioBridges (United States) · USIonis Pharmaceuticals (United States) · USManchester University NHS Foundation Trust · GBSapienza University of Rome · ITSorbonne Université · FRUniversité de Montréal · CAUniversity of California San Diego · USUniversity of Kansas Medical Center · USWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextDifferentiation between familial chylomicronemia syndrome (FCS, type 1 hyperlipoproteinemia), a rare metabolic disorder, and the more common multifactorial severe hypertriglyceridemia (sHTG, type 5 hyperlipoproteinemia) is challenging because of their overlapping symptoms but important in patient management.

objectiveTo assess whether readily obtainable clinical information beyond triglycerides can effectively diagnose and differentiate patients with FCS from those with sHTG, based on well-curated data from two intervention studies of these conditions.

methodsThe analysis included 154 patients from two phase 3 clinical trials of patients with sHTG, one cohort with genetically confirmed FCS (n = 49) and one with multifactorial sHTG (n = 105). Logistic regression analyses were performed to determine the ability of variables (patient demographics, medical history, and baseline lipids, individually or in sets) to differentiate the patient populations. Receiver operating characteristics were used to determine the variable sets with the highest accuracy (percentage of times actual values matched predicted) and optimal sensitivity and specificity.

resultsThe primary model diagnosed 45 of 49 patients with FCS and 99 of 105 patients with sHTG correctly. Optimal sensitivity for all available parameters (n = 17) was 91.8%, optimal specificity was 94.3%, and accuracy was 93.5%. Fasting low-density lipoprotein cholesterol (LDL-C) provided the highest individual predictability. However, a three-variable set of ultracentrifugally measured LDL-C, body mass index, and pancreatitis history differentiated the diseases with a near similar accuracy of 91.0%, and adding high-density lipoprotein cholesterol and very low-density lipoprotein cholesterol for a five-variable set provided a small incremental increase in accuracy (92.2%).

conclusionsIn the absence of genetic testing, hypertriglyceridemic patients with FCS and sHTG can be differentiated with a high degree of accuracy by analyzing readily obtainable clinical information.

Indexed as

BMIclinical variablesfamilial chylomicronemia syndromepancreatitissevere hypertriglyceridemia

Identifiers

PMID31777768
PMCPMC6864364
OpenAlexW2980063115

What OpenQuestion 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 OpenQuestion graph.