Evidence map›Paper›PMID 34627566›Full record

ReviewIndian heart journal

LDL-C, NON-HDL-C and APO-B for cardiovascular risk assessment: Looking for the ideal marker.

Dr Jyoti Aggarwal, Mr Gobardhan Kathariya, Dr Puneet K Verma

Abstract readReview
In one paragraph

Review in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Elevated ASGR1 as a Potential Diagnostic Biomarker for Coronary Artery Disease and Predictor of Adverse Outcomes in Hypertensive Patients.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  4. Article
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  7. Cardiovascular disease lipids and lipoproteins biomarker standardization.Critical reviews in clinical laboratory sciences · 2025
    Review
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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

3 authors.

Dr Jyoti AggarwalDepartment of Biochemistry, MMIMSR, Mullana, Ambala, India. Electronic address: jotsagg@yahoo.com.
Mr Gobardhan KathariyaDepartment of Biochemistry, MMMCH, Solan, India. Electronic address: kathariyadeepak@gmail.com.
Dr Puneet K VermaACE Heart and Vascular Institute, Mohali, Punjab, India. Electronic address: puneet_verma@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The traditional approach to the management of coronary artery disease (CAD) focuses mainly on low density lipoprotein cholesterol (LDL-C) which is often considered a crucial risk factor for the progression of atherosclerosis. Despite its extensive use in predicting CAD risk, it has become a sub-optimal marker owing to several limitations. Recently, non-high density lipoprotein cholesterol (non-HDL-C) and apolipoprotein-B (Apo-B) have been substantiated to be more reliable predictors of CAD risk. On the basis of available evidence, it is fair to say that non-HDL-C is a more realistic primary target of therapy and can be used for initial screening. In the current scenario, India being a developing country, the population would not be burdened with additional cost of Apo-B estimation as non-HDL-C can be estimated in the non-fasting state which makes it both patient and clinician friendly. Considering this fact, the aim of the present review article is to highlight the reliability and efficacy of non-HDL-Cholesterol and hence make recommendations to incorporate non-HDL-C in routine lipid panel for better assessment of CAD.

Indexed as

Apolipoproteins BCardiovascular DiseasesCholesterol, HDLCholesterol, LDLHeart Disease Risk FactorsHumansReproducibility of ResultsRisk FactorsApolipoproteins BCholesterol, HDLCholesterol, LDLApo-BCoronary artery diseaseLDL-CNon-HDL-C

Identifiers

PMID34627566
PMCPMC8514398

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.