Evidence map›Paper›PMID 30635365›Full record

ArticleBioscience reports2019

Serum profile of cytokines and their genetic variants in metabolic syndrome and healthy subjects: a comparative study.

Uzma Zafar, Saba Khaliq, Hafiz Usman Ahmad, Khalid Pervaiz Lone

Open access · goldAbstract readComparative Study
In one paragraph

Article in Bioscience reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 2 institutions in 1 country.

Uzma ZafarDepartment of Physiology and Cell Biology, University of Health Sciences, Lahore, Pakistan.
Saba KhaliqDepartment of Physiology and Cell Biology, University of Health Sciences, Lahore, Pakistan sabakhaliq@uhs.edu.pk.ORCID 0000-0002-0345-7394
Hafiz Usman AhmadDepartment of Physiology and Cell Biology, University of Health Sciences, Lahore, Pakistan.
Khalid Pervaiz LoneDepartment of Physiology and Cell Biology, University of Health Sciences, Lahore, Pakistan sabakhaliq@uhs.edu.pk.
University of Health Sciences Lahore · PKCMH Lahore Medical College and Institute of Dentistry · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo identify genetic variants in promoter areas of IL-6 -174 G>C and TNF-α -308 G>A in metabolic syndrome (Met S) and controls and associate them with Met S and serum cytokine levels.It was a cross-sectional study, including 224 cases of Met S and 200 controls. A fasting blood sample was taken and biochemical parameters including serum glucose, insulin, lipid profile, interleukin-6 (IL-6) and tumor necrosis factor α (TNF-α) were measured. Restriction fragment length polymorphism was used to identify the genetic variants of IL-6 and TNF-α. Serum levels of IL-6 and TNF-α and insulin resistance were significantly higher in cases than the controls. IL-6 showed significant positive correlation with HOMA-IR and TNF-α. CC genotype of IL-6 was associated with the increased risk of Met S (

Indexed as

Polymorphism, Single NucleotideAdultCase-Control StudiesCross-Sectional StudiesFemaleGene ExpressionGene FrequencyHumansInsulin ResistanceInterleukin-6MaleMetabolic SyndromeMiddle AgedNF-kappa BPolymorphism, Restriction Fragment LengthPromoter Regions, GeneticIL6 protein, humanInterleukin-6NF-kappa BTNF protein, humanTumor Necrosis Factor-alphaIL-6insulin resistanceMetabolic syndromeTNF-α

Identifiers

PMID30635365
PMCPMC6356053
OpenAlexW2908960115

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.