Evidence map›Paper›PMID 42781670›Full record

ArticleJournal of medical biochemistry2026

Applicability of LDL-cholesterol calculation formulas in hypertriglyceridemia: Insights from the Vojvodina.

Dragana Žuvić, Stanislava Nikolić, Romana Mijović, Branislava Ilinčić, Aneta Ranđelović-Živković, Dušan Sedlarević, Velibor Čabarkapa

Abstract read
In one paragraph

Article in Journal of medical biochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dragana ŽuvićUniversity of Novi Sad, Center for Laboratory Diagnostics, University Clinical Center of Vojvodina, Faculty of Medicine, Novi Sad.
Stanislava NikolićUniversity of Novi Sad, Center for Laboratory Diagnostics, University Clinical Center of Vojvodina, Faculty of Medicine, Novi Sad.
Romana MijovićUniversity of Novi Sad, Center for Laboratory Diagnostics, University Clinical Center of Vojvodina, Faculty of Medicine, Novi Sad.
Branislava IlinčićUniversity of Novi Sad, Center for Laboratory Diagnostics, University Clinical Center of Vojvodina, Faculty of Medicine, Novi Sad.
Aneta Ranđelović-ŽivkovićUniversity of Novi Sad, Center for Laboratory Diagnostics, University Clinical Center of Vojvodina, Faculty of Medicine, Novi Sad.
Dušan SedlarevićUniversity of Novi Sad, Center for Laboratory Diagnostics, University Clinical Center of Vojvodina, Faculty of Medicine, Novi Sad.
Velibor ČabarkapaUniversity of Novi Sad, Center for Laboratory Diagnostics, University Clinical Center of Vojvodina, Faculty of Medicine, Novi Sad.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Low-density lipoproteins cholesterol (LDL-C) is a key parameter for assessing the risk of atherosclerotic cardiovascular disease. Direct measurement of LDL-C is not always possible due to practical or financial reasons, making the use of calculation formulas essential. The aim of this study was to evaluate the applicability of four different formulas proposed by Friedewald, Sampson, Anandaraja, and Martin-Hopkins for calculating LDL-C compared to direct method in patients with serum triglyceride levels from 4.5 to 9.0 mmol/L in the population of Vojvodina. Methods: The retrospective study included 272 subjects whose lipid status parameters were measured between June 2022 and June 2023. LDL-C was determined by the direct method (d-LDL-C) on the Alinity c analyser (Abbott Laboratories, Illinois, USA). Calculated LDL-C values were obtained using the four selected formulas.

Indexed as

cholesterolhypertriglyceridemiaLDLlipidsSampson formula

Identifiers

PMID42781670
PMCPMC13600645

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Registered trials

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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.