Evidence map›Paper›PMID 26816985›Full record

ArticleJournal of clinical and diagnostic research : JCDR2015

Fibrinogen Degradation Products and Periodontitis: Deciphering the Connection.

Shweta Dikshit

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and diagnostic research : JCDR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact, top 78% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  8. Blood Levels of Glycated Hemoglobin, D-Dimer, and Fibrinogen in Diabetic Retinopathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Article
  9. 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

1 author at 1 institution in 1 country.

Shweta DikshitPost Graduate Student, Department of Periodontology, Faculty of Dental Sciences, SGT University , Gurgaon, Haryana, India .
Shree Guru Gobind Singh Tricentenary University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFibrinogen degradation products (e.g. D-dimer) arise from digested fibrin clots and fibrinogen. Elevated concentrations accompany activation of coagulation and fibrinolysis and indicate chronic inflammatory diseases. D-Dimer tests are a quick, noninvasive method to rule out abnormal clotting. Periodontitis strongly affects the haemostatic system and evokes a procoagulant state. Correlation of chronic periodontitis with early indicators of disease (biomarkers) might be useful.

aimThe aim of the study was to examine whether the plasma D-dimer concentration reflects the progression of chronic periodontitis and the beneficial effect of periodontal therapy. MATERIALS AND

methodsForty randomly selected subjects were divided into four groups, Group I: 10 healthy subjects, Group II: 10 with mild periodontitis, Group III: 10 with moderate periodontitis, Group IV: 10 with severe periodontitis. After thorough dental and periodontal examination, 3 mL of venous blood was collected for measurement of fibrinogen degradation products.

resultsThe patients with moderate and chronic periodontitis exhibited high concentrations of D-dimer (mean value 434.98-535.52 mcg/mL), whereas subjects with mild or no periodontitis exhibited values of 329.78-211.29 mcg/mL. Concentrations of D-dimer were significantly reduced after therapy of all classes of periodontitis.

conclusionPeriodontal treatment can reduce amount of D-dimer in the plasma. A higher than normal concentration is observed in chronic periodontitis.

Indexed as

BiomarkerD-dimerFibronolysisPeriodontal disease

Identifiers

PMID26816985
PMCPMC4717699
OpenAlexW2417205319

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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.