Evidence map›Paper›PMID 29450942›Full record

ArticleAmerican journal of reproductive immunology (New York, N.Y. : 1989)2018

Multivariate analysis of cytokine profiles in pregnancy complications.

Fawaz Azizieh, Kamaludin Dingle, Raj Raghupathy, Kjell Johnson, Jacob VanderPlas, Ali Ansari

Open access · hybridAbstract readComparative Study
In one paragraph

Article in American journal of reproductive immunology (New York, N.Y. : 1989), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  8. Immunomodulatory Effects of Metformin Treatment in Pregnant Women With PCOS.The Journal of clinical endocrinology and metabolism · 2023 · on this map
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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

6 authors at 4 institutions in 2 countries.

Fawaz AziziehDepartment of Mathematics and Natural Sciences, International Centre for Applied Mathematics and Computational Bioengineering, Gulf University for Science and Technology, Kuwait, Kuwait.ORCID 0000-0001-8325-3537
Kamaludin DingleDepartment of Mathematics and Natural Sciences, International Centre for Applied Mathematics and Computational Bioengineering, Gulf University for Science and Technology, Kuwait, Kuwait.
Raj RaghupathyDepartment of Microbiology, Faculty of Medicine, Kuwait University, Kuwait, Kuwait.
Kjell JohnsonArbor Analytics, Ann Arbor, MI, USA.
Jacob VanderPlaseScience Institute, Washington University, Seattle, WA, USA.
Ali AnsariDepartment of Mathematics and Natural Sciences, International Centre for Applied Mathematics and Computational Bioengineering, Gulf University for Science and Technology, Kuwait, Kuwait.
Gulf University for Science & Technology · KWAnn Arbor Center for Independent Living · USKuwait University · KWWashington Research Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

problemThe immunoregulation to tolerate the semiallogeneic fetus during pregnancy includes a harmonious dynamic balance between anti- and pro-inflammatory cytokines. Several earlier studies reported significantly different levels and/or ratios of several cytokines in complicated pregnancy as compared to normal pregnancy. However, as cytokines operate in networks with potentially complex interactions, it is also interesting to compare groups with multi-cytokine data sets, with multivariate analysis. Such analysis will further examine how great the differences are, and which cytokines are more different than others.

methodsVarious multivariate statistical tools, such as Cramer test, classification and regression trees, partial least squares regression figures, 2-dimensional Kolmogorov-Smirmov test, principal component analysis and gap statistic, were used to compare cytokine data of normal vs anomalous groups of different pregnancy complications.

resultsMultivariate analysis assisted in examining if the groups were different, how strongly they differed, in what ways they differed and further reported evidence for subgroups in 1 group (pregnancy-induced hypertension), possibly indicating multiple causes for the complication.

conclusionThis work contributes to a better understanding of cytokines interaction and may have important implications on targeting cytokine balance modulation or design of future medications or interventions that best direct management or prevention from an immunological approach.

Indexed as

CytokinesDatasets as TopicFemaleFetusGestational AgeHumansHypertensionImmune ToleranceInflammation MediatorsMultivariate AnalysisPregnancyPregnancy ComplicationsProtein Interaction MapsStatistics, NonparametricCytokinesInflammation Mediatorscytokinesmultivariate analysispregnancy complications

Identifiers

PMID29450942
PMCPMC5838769
OpenAlexW2790778405

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.