Evidence map›Paper›PMID 39523212›Full record

ArticleJournal of clinical periodontology2025

A Study Into Systemic and Oral Levels of Proinflammatory Biomarkers Associated With Endpoints After Active Non-Surgical Periodontal Therapy.

Nils Werner, Iris Frasheri, Katrin Heck, Carla Scalia, Vinay Pitchika, Burkhard Summer, Christina Ern, Richard Heym, Falk Schwendicke, Caspar Victor Bumm and 1 more

Abstract read
In one paragraph

Article in Journal of clinical periodontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Hidden oral inflammation and biomarker misclassification in obstructive sleep apnea trials.Sleep advances : a journal of the Sleep Research Society · 2026
    Article
  3. 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

11 authors.

Nils WernerDepartment of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0001-8498-0736
Iris FrasheriDepartment of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0003-1632-6585
Katrin HeckDepartment of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, Munich, Germany.
Carla ScaliaDepartment of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, Munich, Germany.
Vinay PitchikaDepartment of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, Munich, Germany.
Burkhard SummerDepartment of Dermatology and Allergology, LMU University Hospital, LMU Munich, Munich, Germany.
Christina ErnDepartment of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, Munich, Germany.
Richard HeymDepartment of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, Munich, Germany.
Falk SchwendickeDepartment of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, Munich, Germany.
Caspar Victor BummDepartment of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0003-0681-1528
Matthias FolwacznyDepartment of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo analyse whether some selected inflammatory biomarkers collected from venous blood and gingival crevicular fluid (GCF) were associated with the outcome of non-surgical periodontal therapy. MATERIALS AND

methodsTwo-hundred and nine patients affected by periodontitis were enrolled in the study, who had undergone steps I and II therapy as well as a non-surgical re-instrumentation (NSRI) of periodontal pockets after 6 months. Serum (SE), plasma (PL) and GCF samples were quantitatively analysed for the following inflammatory biomarkers: active matrix metalloproteinase-8 (aMMP-8), prostaglandin E2 (PGE2) and surfactant protein D (SP-D). Therapy outcomes were evaluated using a 'treat-to-target' endpoint (T2T) at the patient level, defined as ≤ 4 sites with pocket depth ≥ 5 mm.

resultsPatients presented with 23 ± 6 teeth (mean ± SD) at baseline. After steps I and II therapy, 41.6% of the patients reached T2T and after NSRI 47.4%. Univariate analysis identified a potential association between high levels of PL-SP-D and more favourable treatment outcomes. Multivariate binary logistic regression adjusted for sex, mean baseline probing depth, diabetes and current smoking status confirmed an independent relationship between baseline PL-SP-D and the T2T after steps I and II therapy (aOR 0.432, p = 0.011), implying that a higher level PL-SP-D at baseline is associated with a > 50% reduced risk of failing T2T. However, no such association was found for PL-SP-D and NSRI.

conclusionHigher baseline PL-SP-D levels might be associated with more favourable treatment outcomes after steps I and II therapy. This may be due to its role in the regulation of neutrophil function. However, further investigation is required to confirm this hypothesis. If proven, PL-SP-D could play a role as a biomarker for identifying individuals who respond differentially to primary therapy.

Indexed as

Chronic PeriodontitisGingival Crevicular FluidInflammation MediatorsPeriodontitisAdultAgedBiomarkersDental ScalingDinoprostoneFemaleFollow-Up StudiesHumansMaleMatrix Metalloproteinase 8Middle AgedPeriodontal DebridementBiomarkersDinoprostoneInflammation MediatorsMatrix Metalloproteinase 8Pulmonary Surfactant-Associated Protein Dbiomarkerinflammationperiodontal therapyperiodontitis

Identifiers

PMID39523212
PMCPMC11743219

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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.