Evidence map›Paper›PMID 38360457›Full record

ReviewIndian heart journal2024

Trends in epidemiology of dyslipidemias in India.

Sonali Sharma, Kiran Gaur, Rajeev Gupta

Abstract readReview
In one paragraph

Review in Indian heart journal, 2024. 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
–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

13 citing papers in PubMed.

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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.

Sonali SharmaDepartment of Biochemistry, RUHS College of Medical Sciences, Rajasthan University of Health Sciences, Jaipur, Rajasthan, India.
Kiran GaurDepartment of Statistics, Mathematics and Computer Science, Government SKN Agriculture University, Jobner, Jaipur, Rajasthan, India.
Rajeev GuptaDepartment of Preventive Cardiology & Medicine, Eternal Heart Care Centre & Research Institute, Jaipur, Rajasthan, India. Electronic address: rajeevgg@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dyslipidemias are the most important coronary artery disease (CAD) risk factor. High total cholesterol and its principal subtypes: low-density lipoprotein (LDL) cholesterol and non-high-density lipoprotein (NHDL) cholesterol are the most important. Epidemiological and Mendelian randomization studies have confirmed role of raised triglycerides and lipoprotein(a). INTERHEART study reported a significant association of raised ApoB/ApoA1, total-, LDL-, and NHDL-cholesterol in South Asians. Prospective Urban Rural Epidemiology (PURE) study identified raised NHDL cholesterol as the most important risk factor. Regional and multisite epidemiological studies in India have reported increasing population levels of total-, LDL-, and NHDL cholesterol and triglycerides. India Heart Watch reported higher prevalence of total and LDL cholesterol in northern and western Indian cities. ICMR-INDIAB study reported regional variations in hypercholesterolemia (≥200 mg/dl) from 4.6 % to 50.3 %, with greater prevalence in northern states, Kerala, Goa, and West Bengal. Non-Communicable Disease Risk Factor Collaboration and Global Burden of Diseases Studies have reported increasing LDL- and NHDL-cholesterol in India. Studies among emigrant Indians in UK and USA have reported higher triglycerides in compared to Caucasians. Identification of regional variations and trends in dyslipidemias need more nationwide surveys. Prospective studies are needed to assess quantum of risk with CAD incidence.

Indexed as

CholesterolDyslipidemiasCholesterol, HDLCholesterol, LDLHumansIndiaProspective StudiesRisk FactorsTriglyceridesCholesterolCholesterol, HDLCholesterol, LDLTriglyceridesCholesterolDyslipidemiasEpidemiologyLDL cholesterol

Identifiers

PMID38360457
PMCPMC11019332

What Socratic 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 Socratic graph.