Evidence map›Paper›PMID 34774485›Full record

Trial reportJournal of lipid research2022

LDL-C calculated by Friedewald, Martin-Hopkins, or NIH equation 2 versus beta-quantification: pooled alirocumab trials.

Henry N Ginsberg, Robert S Rosenson, G Kees Hovingh, Alexia Letierce, Rita Samuel, Yann Poulouin, Christopher P Cannon

Open access · goldAbstract readClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in Journal of lipid research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 51 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Advances in targeting LDL cholesterol: PCSK9 inhibitors and beyond.American journal of preventive cardiology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Quo vadis, LDL cholesterol?Advances in laboratory medicine · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Lipoprotein Assessment in the twenty-first Century.Endocrinology and metabolism clinics of North America · 2022
    Review
  18. 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

7 authors at 6 institutions in 4 countries.

Henry N GinsbergColumbia University, New York, NY, USA. Electronic address: hng1@cumc.columbia.edu.
Robert S RosensonMount Sinai Icahn School of Medicine, New York, NY, USA.
G Kees HovinghAcademic Medical Center, Amsterdam, The Netherlands; Novo Nordisk AS, Copenhagen, Denmark.
Alexia LetierceSanofi, Chilly-Mazarin, France.
Rita SamuelRegeneron Pharmaceuticals, Inc., Tarrytown, NY, USA.
Yann PoulouinIT&M Stats, Paris, France.
Christopher P CannonCardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA.
Brigham and Women's Hospital · USColumbia University Irving Medical Center · USIcahn School of Medicine at Mount Sinai · USNovo Nordisk (Denmark) · DKRegeneron (United States) · USSanofi (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of LDL-C levels is important, as they are often used for treatment recommendations. For many years, plasma LDL-C levels were calculated using the Friedewald equation, but there are limitations to this method compared with direct measurement via beta-quantification (BQ). Here, we assessed differences between the Friedewald, Martin-Hopkins, and NIH equation 2 methods of calculating LDL-C and the "gold standard" BQ method using pooled phase 3 data with alirocumab. All randomized patients were included irrespective of the treatment arm (n = 6,122). We compared pairs of LDL-C values (n = 17,077) determined by each equation and BQ. We found that BQ-derived LDL-C values ranged from 1 to 397 mg/dl (mean 90.68 mg/dl). There were strong correlations between Friedewald-calculated, Martin-Hopkins-calculated, and NIH equation 2-calculated LDL-C with BQ-determined LDL-C values (Pearson's correlation coefficient = 0.985, 0.981, and 0.985, respectively). Importantly, for BQ-derived LDL-C values ≥70 mg/dl, only 3.2%, 1.4%, and 1.8% of Friedewald-calculated, Martin-Hopkins-calculated, and NIH equation 2-calculated values were <70 mg/dl, respectively. When triglyceride (TG) levels were <150 mg/dl, differences between calculated and BQ-derived LDL-C values were minimal, regardless of the LDL-C level (<40, <55, or <70 mg/dl). However, when TG levels were >150 mg/dl, NIH equation 2 provided greater accuracy than Friedewald or Martin-Hopkins. When TGs were >250 mg/dl, inaccuracies were seen with all three methods, although NIH equation 2 remained the most accurate. In conclusion, LDL-C calculated by any of the three methods can guide treatment decisions for most patients, including those treated with proprotein convertase subtilisin/kexin type 9 inhibitors.

Indexed as

Antibodies, Monoclonal, HumanizedCholesterol, LDLAntibodies, MonoclonalFemaleHumansMaleMiddle AgedalirocumabAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedCholesterol, LDLalirocumabbeta-quantificationcalculated LDL-Ccholesteroldrug therapy/hypolipidemic drugsFriedewaldLDLMartin-HopkinsNIH equation 2PCSK9

Identifiers

PMID34774485
PMCPMC8953656
OpenAlexW3213057406

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.