Evidence map›Paper›PMID 23318230›Full record

ReviewNature reviews. Endocrinology2013

HDL--is it too big to fail?

Dominic S Ng, Norman C W Wong, Robert A Hegele

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Introduction to Mendelian randomization.Annals of clinical epidemiology · 2025
    Article
  3. Article
  4. Observational
  5. Review
  6. Review
  7. The effect ofOncotarget · 2017
    Article
  8. Genetics of Triglycerides and the Risk of Atherosclerosis.Current atherosclerosis reports · 2017
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Treating low high-density lipoprotein cholesterol: what is the evidence?Therapeutic advances in endocrinology and metabolism · 2014
    Review
  15. 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

3 authors at 2 institutions in 1 country.

Dominic S NgKeenan Research Centre, Li Ka Shing Knowledge Institute, St Michael's Hospital, Shuter Wing, Room 3-041, 30 Bond Street, Toronto, ON M5B 1W8, Canada.
Norman C W Wong
Robert A Hegele
University of Calgary · CAWestern University · CA

Funding

CIHR MOP-13430CIHR MOP-275369CIHR MOP-79523
6 · The paper itself

Abstract

The HDL hypothesis has suffered damage in the past few years. Clinical trials have shown that raising HDL cholesterol levels does not improve cardiovascular disease (CVD) outcomes. In addition, Mendelian randomization studies have shown that DNA variants that alter HDL cholesterol levels in populations are unrelated to incident CVD events. Balancing this deluge of negative data are substantial basic science data supporting the concept that raising HDL cholesterol levels reduces CVD risk. Also, functionally relevant HDL subfractions might be more important determinants of risk than overall HDL cholesterol levels. But, while wobbly, the HDL hypothesis is still standing, seemingly too big to fail owing to past intellectual, economic and psychological investments in the idea.

Indexed as

Cardiovascular DiseasesCholesterol Ester Transfer ProteinsCholesterol, HDLClinical Trials as TopicHumansRiskCholesterol Ester Transfer ProteinsCholesterol, HDL

Identifiers

PMID23318230
OpenAlexW1956872098

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.