Evidence map›Paper›PMID 31519763›Full record

ArticleJournal of lipid research2019

Partial

Jacqueline S Dron, Jian Wang, Adam D McIntyre, Henian Cao, John F Robinson, P Barton Duell, Priya Manjoo, James Feng, Irina Movsesyan, Mary J Malloy and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Genetics of Hypertriglyceridemia.Frontiers in endocrinology · 2020
    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 4 institutions in 2 countries.

Jacqueline S DronRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada.ORCID 0000-0002-3045-6530
Jian WangRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada.
Adam D McIntyreRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada.
Henian CaoRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada.
John F RobinsonRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada.
P Barton DuellKnight Cardiovascular Institute, Oregon Health and Science University, Portland, OR 97239.
Priya ManjooDepartment of Medicine, Gordon and Leslie Diamond Centre, University of British Columbia, Vancouver, BC V5Z 1M9, Canada.
James FengCardiovascular Research Institute, University of California San Francisco, San Francisco, CA 94158.
Irina MovsesyanCardiovascular Research Institute, University of California San Francisco, San Francisco, CA 94158.
Mary J MalloyCardiovascular Research Institute, University of California San Francisco, San Francisco, CA 94158.
Clive R PullingerCardiovascular Research Institute, University of California San Francisco, San Francisco, CA 94158.
John P KaneCardiovascular Research Institute, University of California San Francisco, San Francisco, CA 94158.
Robert A HegeleRobarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, Canada hegele@robarts.ca.ORCID 0000-0003-2861-5325
Western University · CAUniversity of California, San Francisco · USOregon Health & Science University · USUniversity of British Columbia · CA

Funding

CIHR
6 · The paper itself

Abstract

Severe hypertriglyceridemia (HTG) is a relatively common form of dyslipidemia with a complex pathophysiology and serious health complications. HTG can develop in the presence of rare genetic factors disrupting genes involved in the triglyceride (TG) metabolic pathway, including large-scale copy-number variants (CNVs). Improvements in next-generation sequencing technologies and bioinformatic analyses have better allowed assessment of CNVs as possible causes of or contributors to severe HTG. We screened targeted sequencing data of 632 patients with severe HTG and identified partial deletions of the

Indexed as

DNA Copy Number VariationsGene DeletionComputational BiologyDNA Mutational AnalysisExonsHumansHypertriglyceridemiaLipoprotein LipaseLipoprotein Lipasebioinformatic analysisdiagnostic toolsdyslipidemiasgenetic testinghuman geneticslipoprotein lipasenext-generation sequencingtriglycerides

Identifiers

PMID31519763
PMCPMC6824486
OpenAlexW2972479683

What OpenQuestion holds

Textmetadata
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.