Evidence map›Paper›PMID 33512494›Full record

ArticleRheumatology (Oxford, England)2021

A distinguishing profile of chemokines, cytokines and biomarkers in the saliva of children with Sjögren's syndrome.

M Paula Gomez Hernandez, Emily E Starman, Andrew B Davis, Miyuraj Harishchandra Hikkaduwa Withanage, Erliang Zeng, Scott M Lieberman, Kim A Brogden, Emily A Lanzel

Open access · bronzeAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Machine Learning to Dynamically Predict In-Hospital Venous Thromboembolism After Inguinal Hernia Surgery: Results From the CHAT-1 Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
  8. Review
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

8 authors at 1 institution in 1 country.

M Paula Gomez HernandezPediatric Dentistry.
Emily E StarmanIowa Institute for Oral Health Research, College of Dentistry.
Andrew B DavisDepartment of Otolaryngology, College of Medicine.
Miyuraj Harishchandra Hikkaduwa WithanageDivision of Biostatistics and Computational Biology, College of Dentistry.
Erliang ZengDivision of Biostatistics and Computational Biology, College of Dentistry.
Scott M LiebermanDivision of Rheumatology, Allergy and Immunology, Stead Family Department of Pediatrics, Carver College of Medicine.
Kim A BrogdenIowa Institute for Oral Health Research, College of Dentistry.ORCID 0000-0003-3296-3867
Emily A LanzelDepartment of Oral Pathology, Radiology and Medicine, College of Dentistry, University of Iowa, Iowa City, IA, USA.
University of Iowa · US

Funding

Pilot Research Grant from the Sjögren's Syndrome Foundation
6 · The paper itself

Abstract

objectiveSS is an autoimmune disease most commonly diagnosed in adults but can occur in children. Our objective was to assess the presence of chemokines, cytokines and biomarkers (CCBMs) in saliva from these children that were associated with lymphocyte and mononuclear cell functions.

methodsSaliva was collected from 11 children diagnosed with SS prior to age 18 years and 16 normal healthy children. A total of 105 CCBMs were detected in multiplex microparticle-based immunoassays. ANOVA and t test (0.05 level) were used to detect differences. Ingenuity Pathway Analysis (IPA) was used to assess whether elevated CCBMs were in annotations associated with immune system diseases and select leukocyte activities and functions. Machine learning methods were used to evaluate the predictive power of these CCBMs for SS and were measured by receiver operating characteristic (ROC) curve and area under curve (AUC).

resultsOf the 105 CCBMs detected, 43 (40.9%) differed in children with SS from those in healthy study controls (P < 0.05) and could differentiate the two groups (P < 0.05). Elevated CCBMs in IPA annotations were associated with autoimmune diseases and with leukocyte chemotaxis, migration, proliferation, and regulation of T cell activation. The best AUC value in ROC analysis was 0.93, indicating that there are small numbers of CCBMs that may be useful for diagnosis of SS.

conclusionWhile 35 of these 43 CCBMs have been previously reported in SS, 8 CCBMs had not. Additional studies focusing on these CCBMs may provide further insight into disease pathogenesis and may contribute to diagnosis of SS in children.

Indexed as

AdolescentBiomarkersCase-Control StudiesChemokinesChildCytokinesFemaleHumansLeukocytes, MononuclearLymphocyte ActivationLymphocytesMaleROC CurveSalivaSjogren's SyndromeYoung AdultBiomarkersChemokinesCytokinesbiomarkerschemokineschildrencytokinessalivaSjögren’s syndrome

Identifiers

PMID33512494
PMCPMC8487313
OpenAlexW3125738781

What OpenQuestion holds

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Registered trials

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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.