Evidence map›Paper›PMID 30684968›Full record

ArticleLipids in health and disease2019

Appropriate Total cholesterol cut-offs for detection of abnormal LDL cholesterol and non-HDL cholesterol among low cardiovascular risk population.

Nopakoon Nantsupawat, Apaputch Booncharoen, Anawat Wisetborisut, Wichuda Jiraporncharoen, Kanokporn Pinyopornpanish, Lalita Chutarattanakul, Chaisiri Angkurawaranon

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 37 citations in OpenAlex.

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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 1 institution in 1 country.

Nopakoon NantsupawatDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Road, Suthep, Muang, Chiang Mai, 50200, Thailand.
Apaputch BooncharoenDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Road, Suthep, Muang, Chiang Mai, 50200, Thailand.
Anawat WisetborisutDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Road, Suthep, Muang, Chiang Mai, 50200, Thailand.
Wichuda JiraporncharoenDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Road, Suthep, Muang, Chiang Mai, 50200, Thailand.
Kanokporn PinyopornpanishDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Road, Suthep, Muang, Chiang Mai, 50200, Thailand.
Lalita ChutarattanakulDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Road, Suthep, Muang, Chiang Mai, 50200, Thailand.
Chaisiri AngkurawaranonDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, 110 Intawaroros Road, Suthep, Muang, Chiang Mai, 50200, Thailand. chaisiri.a@cmu.ac.th.ORCID http://orcid.org/0000-0003-4206-9164
Chiang Mai University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent guidelines suggest screening for dyslipidemia in early adulthood. In Thailand, a screening total cholesterol level is most commonly used potentially due to the costs of the test. However, the appropriate TC cut-off point that correlates with elevated low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (Non-HDL-C) levels for the low cardiovascular risk younger population have not been examined extensively in the literature.

methodsThis study identified 1754 subjects with low cardiovascular risk. All participants had a physical examination and a venous blood sample sent for laboratory assessment of fasting blood glucose, TC, LDL-C, HDL-C levels. A non-HDL-C level for everyone was calculated by subtracting HDL-C levels from their total cholesterol levels. Sensitivity and specificity of different TC cutoff points in detection of abnormal LDL-C levels (≥ 130 mg/dL and ≥ 160 mg/dL) and abnormal non-HDL-C levels (≥ 160 mg/dL and ≥ 190 mg/dL) were calculated. Receiver operating characteristics (ROC) curve analysis was used to evaluate the predictive utility of TC for the abnormal LDL-C and abnormal non-HDL-C levels.

resultsThe conventional range TC cut off point, between 200 to 240, had varying diagnostic properties for detection of elevated LDL-C and Non-HDL-C within this low risk population. A TC cut off point 210 would have a sensitivity of 70% and specificity of 92.5% for detection of LDL-C ≥ 130 and a sensitivity of 96.7% and specificity of 85.6% for identifying those with Non-HDL-C ≥ 160. The TC cut off point of 230 had a sensitivity of 74.9% and specificity of 92.0% in identifying those with LDL-C ≥ 160 and a sensitivity of 98.6% and specificity of 89.8% in detection of non-HDL-C ≥ 190.

conclusionsEarly screening for dyslipidemia in young adults is suggested by many guidelines. This population is likely to be those with lower cardiovascular risk and may needed to have repeated screening over time. Screening using TC with appropriate a cut off points may be a more cost-effective screening test in settings with limited resources, coverage and accessibility.

Indexed as

Cardiovascular DiseasesCholesterolCholesterol, HDLCholesterol, LDLDyslipidemiasEarly DiagnosisFemaleHumansLipidsMaleMiddle AgedRisk FactorsThailandTriglyceridesYoung AdultCholesterolCholesterol, HDLCholesterol, LDLLipidsTriglyceridesDiagnostic testNon-high density lipoprotein cholesterolThailandTotal cholesterol, low-density lipoprotein cholesterol

Identifiers

PMID30684968
PMCPMC6347761
OpenAlexW2916781964

What OpenQuestion holds

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LicenceCC BY
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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.