Evidence map›Paper›PMID 28912468›Full record

ArticleScientific reports2017

Cytokine-based Predictive Models to Estimate the Probability of Chronic Periodontitis: Development of Diagnostic Nomograms.

I Tomás, N Arias-Bujanda, M Alonso-Sampedro, M A Casares-de-Cal, C Sánchez-Sellero, D Suárez-Quintanilla, C Balsa-Castro

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.7field-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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Serum cytokines in periodontal diseases.Periodontology 2000 · 2025
    Review
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  19. Inflammatory Biomarkers, Microbiome, Depression, and Executive Dysfunction in Alcohol Users.International journal of environmental research and public health · 2020
    Article
  20. Article
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

7 authors at 3 institutions in 1 country.

I TomásOral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-surgical Specialties, School of Medicine and Dentistry, Health Research Institute of Santiago (IDIS), Universidade de Santiago de Compostela, Galicia, Spain. inmaculada.tomas@usc.es.
N Arias-BujandaOral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-surgical Specialties, School of Medicine and Dentistry, Health Research Institute of Santiago (IDIS), Universidade de Santiago de Compostela, Galicia, Spain.
M Alonso-SampedroDepartment of Internal Medicine and Clinical Epidemiology, Complejo Hospitalario Universitario, Santiago de Compostela, Galicia, Spain.
M A Casares-de-CalDepartment of Mathematical Analysis, Statistics and Optimization, School of Mathematics, Universidade de Santiago de Compostela, Galicia, Spain.
C Sánchez-SelleroDepartment of Mathematical Analysis, Statistics and Optimization, School of Mathematics, Universidade de Santiago de Compostela, Galicia, Spain.
D Suárez-QuintanillaOral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-surgical Specialties, School of Medicine and Dentistry, Health Research Institute of Santiago (IDIS), Universidade de Santiago de Compostela, Galicia, Spain.
C Balsa-CastroOral Sciences Research Group, Special Needs Unit, Department of Surgery and Medical-surgical Specialties, School of Medicine and Dentistry, Health Research Institute of Santiago (IDIS), Universidade de Santiago de Compostela, Galicia, Spain.
Universidade de Santiago de Compostela · ESInstituto de Investigación Sanitaria de Santiago · ESComplejo Hospitalario Universitario de Santiago · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although a distinct cytokine profile has been described in the gingival crevicular fluid (GCF) of patients with chronic periodontitis, there is no evidence of GCF cytokine-based predictive models being used to diagnose the disease. Our objectives were: to obtain GCF cytokine-based predictive models; and develop nomograms derived from them. A sample of 150 participants was recruited: 75 periodontally healthy controls and 75 subjects affected by chronic periodontitis. Sixteen mediators were measured in GCF using the Luminex 100™ instrument: GMCSF, IFNgamma, IL1alpha, IL1beta, IL2, IL3, IL4, IL5, IL6, IL10, IL12p40, IL12p70, IL13, IL17A, IL17F and TNFalpha. Cytokine-based models were obtained using multivariate binary logistic regression. Models were selected for their ability to predict chronic periodontitis, considering the different role of the cytokines involved in the inflammatory process. The outstanding predictive accuracy of the resulting smoking-adjusted models showed that IL1alpha, IL1beta and IL17A in GCF are very good biomarkers for distinguishing patients with chronic periodontitis from periodontally healthy individuals. The predictive ability of these pro-inflammatory cytokines was increased by incorporating IFN gamma and IL10. The nomograms revealed the amount of periodontitis-associated imbalances between these cytokines with pro-inflammatory and anti-inflammatory effects in terms of a particular probability of having chronic periodontitis.

Indexed as

Area Under CurveBiomarkersCase-Control StudiesChronic PeriodontitisCytokinesFemaleGingival Crevicular FluidHumansImmunoassayMaleMultivariate AnalysisNomogramsPrognosisRisk FactorsROC CurveBiomarkersCytokines

Identifiers

PMID28912468
PMCPMC5599565
OpenAlexW2755113350

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.