Evidence map›Paper›PMID 34680097›Full record

ReviewBiomolecules2021

Confounders in Identification and Analysis of Inflammatory Biomarkers in Cardiovascular Diseases.

Qurrat Ul Ain, Mehak Sarfraz, Gayuk Kalih Prasesti, Triwedya Indra Dewi, Neng Fisheri Kurniati

Open access · goldAbstract readReview
In one paragraph

Review in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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  8. Exploring the Efficacy and Target Genes ofCurrent issues in molecular biology · 2025
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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

5 authors at 3 institutions in 2 countries.

Qurrat Ul AinDepartment of Pharmacology and Clinical Pharmacy, School of Pharmacy, Bandung Institute of Technology, Bandung 40132, Indonesia.ORCID 0000-0003-2398-3698
Mehak SarfrazDepartment of Pharmacy, Comsats University Islamabad Abbottabad Campus, Abbottabad 22060, Pakistan.
Gayuk Kalih PrasestiDepartment of Pharmacology and Clinical Pharmacy, School of Pharmacy, Bandung Institute of Technology, Bandung 40132, Indonesia.
Triwedya Indra DewiDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Padjadjaran, Bandung 40124, Indonesia.
Neng Fisheri KurniatiDepartment of Pharmacology and Clinical Pharmacy, School of Pharmacy, Bandung Institute of Technology, Bandung 40132, Indonesia.ORCID 0000-0002-3313-6612
Bandung Institute of Technology · IDAbbottabad University of Science and Technology · PKPadjadjaran University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proinflammatory biomarkers have been increasingly used in epidemiologic and intervention studies over the past decades to evaluate and identify an association of systemic inflammation with cardiovascular diseases. Although there is a strong correlation between the elevated level of inflammatory biomarkers and the pathology of various cardiovascular diseases, the mechanisms of the underlying cause are unclear. Identification of pro-inflammatory biomarkers such as cytokines, chemokines, acute phase proteins, and other soluble immune factors can help in the early diagnosis of disease. The presence of certain confounding factors such as variations in age, sex, socio-economic status, body mass index, medication and other substance use, and medical illness, as well as inconsistencies in methodological practices such as sample collection, assaying, and data cleaning and transformation, may contribute to variations in results. The purpose of the review is to identify and summarize the effect of demographic factors, epidemiological factors, medication use, and analytical and pre-analytical factors with a panel of inflammatory biomarkers CRP, IL-1b, IL-6, TNFa, and the soluble TNF receptors on the concentration of these inflammatory biomarkers in serum.

Indexed as

BiomarkersCardiovascular DiseasesC-Reactive ProteinHumansImmunologic FactorsInflammationInterleukin-1betaInterleukin-6Receptors, Tumor Necrosis FactorTumor Necrosis Factor-alphaBiomarkersC-Reactive ProteinIL1B protein, humanImmunologic FactorsInterleukin-1betaInterleukin-6Receptors, Tumor Necrosis FactorTNF protein, humanTumor Necrosis Factor-alphaacute-phase proteinschemokinesconfounding factorscytokinesdemographic factorsepidemiological factorsinflammationpre-analytical factorspro-inflammatory biomarkers

Identifiers

PMID34680097
PMCPMC8533132
OpenAlexW3204267049

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.