Evidence map›Paper›PMID 32801833›Full record

ArticleJournal of inflammation research2020

CytokineExplore: An Online Tool for Statistical Analysis of Cytokine Concentration Datasets.

Osama Kassem, Abdulwahab Al-Saleh, Fawaz Azizieh, Kamaludin Dingle

Abstract read
In one paragraph

Article in Journal of inflammation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. CytokineProfile: An Integrated Web Tool for Cytokine Profiling Analysis.Computational and structural biotechnology journal · 2026
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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.

Osama KassemDepartment of Computer Science, Gulf University for Science and Technology, Hawally, Kuwait.ORCID 0000-0002-7018-5771
Abdulwahab Al-SalehDepartment of Computer Science, Gulf University for Science and Technology, Hawally, Kuwait.ORCID 0000-0002-7350-1426
Fawaz AziziehCenter for Applied Mathematics and Bioinformatics (CAMBIO), Department of Mathematics and Natural Science, Gulf University for Science and Technology, Hawally, Kuwait.ORCID 0000-0001-8325-3537
Kamaludin DingleCenter for Applied Mathematics and Bioinformatics (CAMBIO), Department of Mathematics and Natural Science, Gulf University for Science and Technology, Hawally, Kuwait.ORCID 0000-0003-4423-3255

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCytokine data sets are increasing both in the number of different cytokines measured and the number of samples assayed. Further, typically data from different groups may be contrasted, eg, normal vs complication subjects. Many univariate and multivariate statistical techniques exist to study such cytokine datasets, but the ability to implement these techniques may be lacking for some practitioners, or may not be available quickly and conveniently. Here, we introduce CytokineExplore, an online tool for multi-cytokine and multi-group data analysis of user-provided Microsoft Excel data files. MATERIALS AND

methodsIn order to illustrate the tool features, we use data from intrauterine growth retardation (IUGR), a pregnancy complication, and normal healthy subjects as a control. The dataset contains levels for 10 cytokines, namely: IL-4, IL-6, IL-8, IL-10, IL-12, IL-13, IL-18, IL-23, interferon-gamma (IFN-γ) and tumour necrosis-alpha (TNF-α), obtained from 34 women with IUGR (further divided into 17 symmetric and 17 asymmetric cases) and 24 gestationally age-matched normal controls.

resultsThe online tool automatically generates box-plots, histograms, PCA and PLSDA plots,

conclusionThe tool facilitates quick and easy numerical exploration and multivariate analysis of cytokine datasets, to aid basic understanding and hypothesis generation.

Indexed as

cytokinesdata analysisdiagnosticsintrauterine growth retardationmultivariate statisticspregnancy complications

Identifiers

PMID32801833
PMCPMC7406373

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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.