Evidence mapPaperPMID 37678263Full record

ArticleClinical chemistry and laboratory medicine2024

Assessment of three equations to calculate plasma LDL cholesterol concentration in fasting and non-fasting hypertriglyceridemic patients.

Joséphine Vasse, Audrey Lassartesse, Oriane Marmontel, Sybil Charrière, Caroline Bouveyron, Nathanaël Marrié, Philippe Moulin, Mathilde Di Filippo

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Article in Clinical chemistry and laboratory medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Joséphine VasseUF Dyslipidémies, Service de Biochimie et de Biologie Moléculaire, Laboratoire de Biologie Médicale MultiSites, Hospices Civils de Lyon Bron, France.
Audrey LassartesseUF Dyslipidémies, Service de Biochimie et de Biologie Moléculaire, Laboratoire de Biologie Médicale MultiSites, Hospices Civils de Lyon Bron, France.
Oriane MarmontelUF Dyslipidémies, Service de Biochimie et de Biologie Moléculaire, Laboratoire de Biologie Médicale MultiSites, Hospices Civils de Lyon Bron, France.
Sybil CharrièreCarMen Laboratory, INSERM, INRA, Université Claude Bernard Lyon 1, Pierre-Bénite, France.
Caroline BouveyronUF Dyslipidémies, Service de Biochimie et de Biologie Moléculaire, Laboratoire de Biologie Médicale MultiSites, Hospices Civils de Lyon Bron, France.
Nathanaël MarriéUF Dyslipidémies, Service de Biochimie et de Biologie Moléculaire, Laboratoire de Biologie Médicale MultiSites, Hospices Civils de Lyon Bron, France.
Philippe MoulinCarMen Laboratory, INSERM, INRA, Université Claude Bernard Lyon 1, Pierre-Bénite, France.
Mathilde Di FilippoUF Dyslipidémies, Service de Biochimie et de Biologie Moléculaire, Laboratoire de Biologie Médicale MultiSites, Hospices Civils de Lyon Bron, France.ORCID 0000-0001-6206-5908
Hospices Civils de Lyon · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLow-density lipoprotein cholesterol (LDL-C) concentration was calculated for many years using the Friedewald equation, but those from Sampson and extended-Martin-Hopkins perform differently. Their accuracy in fasting hypertriglyceridemia and non-fasting state were compared and the clinical impact of implementing these equations on risk classification and on the setting of lipid treatment goals was assessed.

methodsSeven thousand six standard lipid profiles and LDL-C concentrations measured after ultracentrifugation (uLDL-C) were retrospectively included. uLDL-C were compared to calculated LDL-C in terms of correlation, root mean square error, residual error, mean absolute deviations and cardiovascular stratification.

resultsIn fasting state (n=5,826), Sampson equation was the most accurate, exhibited the highest percentage of residual error lower than 0.13 mmol/L (67 vs. 57 % and 63 % using Friedewald, or extended-Martin-Hopkins equations respectively) and the lowest misclassification rate. However, the superiority of this equation was less pronounced when triglyceride concentration (TG) <4.5 mmol/L were considered. In post-prandial state (n=1,180), extended-Martin-Hopkins was the most accurate equation, exhibited the highest percentage of residual error lower than 0.13 mmol/L (73 vs. 39 % and 57 % using Friedewald and Sampson equation respectively). Overall, the negative bias with Sampson equation may lead to undertreatment. Conversely, a positive bias was observed with extended Martin-Hopkins.

conclusionsNone of the equations tested are accurate when TG>4.52 mmol/L. When TG<4.52 mmol/L both Sampson and Martin-Hopkins equations performed better than Friedewald. The switch to one or the other should take in account their limitations, their ease of implementation into the lab software and the proportion of non-fasting patients.

Indexed as

HyperlipidemiasCholesterol, LDLFastingHumansRetrospective StudiesTriglyceridesCholesterol, LDLTriglyceridesequationFriedewaldLDL cholesterolMartin-HopkinsSampsonultracentrifugation

Identifiers

PMID37678263
OpenAlexW4386525189

What Socratic holds

Textmetadata
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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 Socratic graph.