Evidence map›Paper›PMID 33996157›Full record

ReviewJournal of lipids2021

Changing Perspectives on HDL: From Simple Quantity Measurements to Functional Quality Assessment.

Himani Thakkar, Vinnyfred Vincent, Atanu Sen, Archna Singh, Ambuj Roy

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of lipids, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
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  11. Review
  12. HDL Is Not Dead Yet.Biomedicines · 2022
    Review
  13. 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

5 authors at 1 institution in 1 country.

Himani ThakkarDepartment of Biochemistry, All India Institute of Medical Sciences, New Delhi 110029, India.ORCID https://orcid.org/0000-0002-2825-5190
Vinnyfred VincentDepartment of Biochemistry, All India Institute of Medical Sciences, New Delhi 110029, India.ORCID https://orcid.org/0000-0002-4268-0951
Atanu SenDepartment of Cardiac Biochemistry, All India Institute of Medical Sciences, New Delhi 110029, India.ORCID https://orcid.org/0000-0002-5023-6260
Archna SinghDepartment of Biochemistry, All India Institute of Medical Sciences, New Delhi 110029, India.ORCID https://orcid.org/0000-0001-6487-6632
Ambuj RoyDepartment of Cardiology, All India Institute of Medical Sciences, New Delhi 110029, India.ORCID https://orcid.org/0000-0001-6418-4388
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-density lipoprotein (HDL) comprises a heterogeneous group of particles differing in size, density, and composition. HDL cholesterol (HDL-C) levels have long been suggested to indicate cardiovascular risk, inferred from multiple epidemiological studies. The failure of HDL-C targeted interventions and genetic studies has raised doubts on the atheroprotective role of HDL-C. The current consensus is that HDL-C is neither a biomarker nor a causative agent of cardiovascular disorders. With better understanding of the complex nature of HDL which comprises a large number of proteins and lipids with unique functions, recent focus has shifted from HDL quantity to HDL quality in terms of atheroprotective functions. The current research is focused on developing laboratory assays to assess HDL functions for cardiovascular risk prediction. Also, HDL mimetics designed based on the key determinants of HDL functions are being investigated to modify cardiovascular risk. Improving HDL functions by altering its composition is the key area of future research in HDL biology to reduce cardiovascular risk.

Identifiers

PMID33996157
PMCPMC8096543
OpenAlexW3158860263

What OpenQuestion holds

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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 OpenQuestion graph.