Evidence map›Paper›PMID 28241855›Full record

ArticleJournal of physiological anthropology2017

Anthropometric and metabolic indices in assessment of type and severity of dyslipidemia.

Muhammad Zaid, Fatima Ameer, Rimsha Munir, Rida Rashid, Nimrah Farooq, Shahida Hasnain, Nousheen Zaidi

Erratum issuedAbstract read
In one paragraph

Article in Journal of physiological anthropology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Muhammad ZaidMicrobiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
Fatima AmeerMicrobiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
Rimsha MunirMicrobiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
Rida RashidMicrobiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
Nimrah FarooqMicrobiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
Shahida HasnainMicrobiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan.
Nousheen ZaidiMicrobiology and Molecular Genetics, University of the Punjab, Lahore, 54590, Pakistan. nzzaidi@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has been shown that obesity is associated with increased rates of dyslipidemia. The present work revisits the association between plasma lipid levels and classical indicators of obesity including body mass index (BMI). The significance of various anthropometric/metabolic variables in clinical assessment of type and severity of dyslipidemia was also determined. Recently described body indices, a body shape index (ABSI) and body roundness index (BRI), were also assessed in this context.

methodsFor the present cross-sectional analytical study, the participants (n = 275) were recruited from the patients visiting different health camps. Participants were anthropometrically measured and interviewed, and their fasting intravenous blood was collected. Plasma lipid levels were accordingly determined.

resultsThe values for different anthropometric parameters are significantly different between dyslipidemic and non-dyslipidemic participants. Receiver operating characteristics curve analyses revealed that all the tested variables gave the highest area under the curve (AUC) values for predicting hypertriglyceridemia in comparison to other plasma lipid abnormalities. BRI gave slightly higher AUC values in predicting different forms of dyslipidemia in comparison to BMI, whereas ABSI gave very low values.

conclusionsSeveral anthropometric/metabolic indices display increased predictive capabilities for detecting hypertriglyceridemia in comparison to any other form of plasma lipid disorders. The capacity of BRI to predict dyslipidemia was comparable but not superior to the classical indicators of obesity, whereas ABSI could not detect dyslipidemia.

Indexed as

AnthropometryAnthropology, PhysicalBody CompositionBody WeightCross-Sectional StudiesDyslipidemiasHumansLipidsROC CurveLipidsBody indicesDyslipidemiaPlasma lipids

Identifiers

PMID28241855
PMCPMC5330152

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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.