Evidence map›Paper›PMID 28656095›Full record

ArticleInternational journal of preventive medicine2017

Controlling Lipids AIDS in the Prevention of Type 2 Diabetes, Hypertension, and Cardiovascular Diseases.

Shivananda B Nayak, Stephanie B Mohammed, Akash S Nayak

Open access · goldAbstract read
In one paragraph

Article in International journal of preventive medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 5 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

3 authors at 2 institutions in 2 countries.

Shivananda B NayakDepartment of Preclinical Sciences, Faculty of Medical Sciences, The University of the West Indies, St. Augustine, Trinidad and Tobago.
Stephanie B MohammedDepartment of Preclinical Sciences, Faculty of Medical Sciences, The University of the West Indies, St. Augustine, Trinidad and Tobago.
Akash S NayakKasturba Medical College, Manipal, Karnataka, India.
University of the West Indies · TTKasturba Medical College, Manipal · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal lipid profiles are a characteristic feature of persons with chronic conditions in which the diabetic populations are recognized as the dominant group, regardless of gender and ethnicity worldwide. This study was conducted to identify and evaluate the abnormalities of serum lipid profiles in both nondiabetic and diabetic persons.

methodsThis study was a case-control investigation conducted between 2013 and 2015. The study enrolled 266 patients from the North Central and South West Regional Health Authorities of Trinidad. Of the 266 patients recruited, 126 were diabetic and 140 were nondiabetic.

resultsOur study observed that dyslipidemia was present among the nondiabetic populations as the nondiabetics had 55 women and 20 men with high cholesterol, 22 women and 14 men with high triglyceride (TG), 30 women and 25 men with low high-density lipoprotein cholesterol (HDL-C), 42 women and 21 men with high low-density level-cholesterol (LDL-C), 13 women and 8 men with high very low-density lipoprotein (VLDL), and also 30 women and 11 men with body mass index (BMI) over 30 kg/m

conclusionsThis study observed the incidences in the abnormalities of serum lipid profiles in both nondiabetic and diabetic persons. It also presents the high occurrence of nondiabetic women with dyslipidemia as they presented with high cholesterol, high TG, low HDL-C, and high VLD-L with BMI over 30 kg/m

Indexed as

Abnormal lipid profilemiddle-agednondiabetictype 2 diabeticweight

Identifiers

PMID28656095
PMCPMC5474908
OpenAlexW2989672576

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.