Evidence map›Paper›PMID 24918095›Full record

ArticleJournal of diabetes and metabolic disorders2014

The prevalence of dyslipidemia in patients with diabetes mellitus of ayurveda Hospital.

Amit Kumar Dixit, Ranjit Dey, Aela Suresh, Siddhartha Chaudhuri, Ashok Kumar Panda, Achintya Mitra, Jayram Hazra

Open access · hybridAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

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  13. Dyslipidemia in diabetes: a population-based study in Bali.International journal of general medicine · 2019
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  16. Frontiers in pharmacology · 2018
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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 2 institutions in 1 country.

Amit Kumar DixitDepartment of Pathology and Biochemistry, National Research Institute of Ayurvedic Drug Development, Department of AYUSH, Government of India, 4 CN Block, Sec-5, Bidhannagar, Kolkata 700091, West Bengal, India.
Ranjit DeyDepartment of Pathology and Biochemistry, National Research Institute of Ayurvedic Drug Development, Department of AYUSH, Government of India, 4 CN Block, Sec-5, Bidhannagar, Kolkata 700091, West Bengal, India.
Aela SureshDepartment of Pathology and Biochemistry, National Research Institute of Ayurvedic Drug Development, Department of AYUSH, Government of India, 4 CN Block, Sec-5, Bidhannagar, Kolkata 700091, West Bengal, India.
Siddhartha ChaudhuriDepartment of Pathology and Biochemistry, National Research Institute of Ayurvedic Drug Development, Department of AYUSH, Government of India, 4 CN Block, Sec-5, Bidhannagar, Kolkata 700091, West Bengal, India.
Ashok Kumar PandaHospital Division, National Research Institute of Ayurvedic Drug Development, Department of AYUSH, Government of India, 4 CN Block, Sec-5, Bidhannagar, Kolkata 700091, West Bengal, India.
Achintya MitraHospital Division, National Research Institute of Ayurvedic Drug Development, Department of AYUSH, Government of India, 4 CN Block, Sec-5, Bidhannagar, Kolkata 700091, West Bengal, India.
Jayram HazraHospital Division, National Research Institute of Ayurvedic Drug Development, Department of AYUSH, Government of India, 4 CN Block, Sec-5, Bidhannagar, Kolkata 700091, West Bengal, India.
Government of India · INMinistry of AYUSH · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDyslipidemia is one of the major risk factors for cardiovascular disease in diabetes mellitus. Early detection and treatment of dyslipidemia in type-2 diabetes mellitus can prevent risk for atherogenic cardiovascular disorder. The rationale of this study was to detect the lipid abnormality in diabetic patients.

methodsNecessary data was collected from the medical archives of 150 patients (73 female and 77 male) with diabetes mellitus registered in Department of pathology and biochemistry of a Ayurveda hospital established at Kolkata, India.

resultsThe mean ages of female and male subjects were 51.8 ± 10.8 and 53.2 ± 11.3 years respectively. The range and mean value of FBS in females were 113-342 mg/dl and 157.7 ± 6.3 mg/dl, while the range and mean value of PPBS in females were 135-560 mg/dl and 275.5 ± 12.3 mg/dl respectively. Results showed that range and mean value of FBS in males were 111-462 mg/dl and 160.8 ± 7.4 mg/dl, while the range and mean value of PPBS in males were 136-598 mg/dl and 302.1 ± 12.6 mg/dl respectively. Results of serum lipids showed that the mean values for total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C) and very low density lipoprotein cholesterol (VLDL-C) in female patients were 202.2 ± 5.9 mg/dl, 168.3 ± 8.2 mg/dl, 44.9 ± 1.3 mg/dl, 123.6 ± 5.2 mg/dl and 33.7 ± 1.7 mg/dl respectively. The mean values for TC, TG, HDL-C, LDL-C and VLDL-C in male patients were 182.5 ± 4.8 mg/dl, 128.1 ± 10.8 mg/dl, 40.8 ± 1.2 mg/dl, 105.4 ± 4.8 mg/dl and 36.2 ± 2.2 respectively. FBS showed significant positive correlation with PPBS, cholesterol, TG, and VLDL-C. PPBS also demonstrated direct and significant correlations with TG and VLDL-C.

conclusionsThe study showed common lipid abnormalities during diabetes induced dyslipidemia i.e., hypercholesterolemia, hypertriglyceridemia and elevated LDL-C. This study suggests the dominance of hyperlipidemia over increased prevalence of dyslipidemia.

Indexed as

Blood sugarDiabetes mellitusDyslipidemiaHyperlipidemiaLipid profile

Identifiers

PMID24918095
PMCPMC4051117
OpenAlexW2156180085

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.