Evidence map›Paper›PMID 37838702›Full record

ArticleBMC oral health2023

Evaluation of perfusion parameters of gingival inflammation using laser Doppler flowmetry and tissue spectrophotometry- a prospective comparative clinical study.

Marie Sophie Katz, Mark Ooms, Philipp Winnand, Marius Heitzer, Anna Bock, Kristian Kniha, Frank Hölzle, Ali Modabber

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Marie Sophie KatzDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelstraße 30, Aachen, 52074, Germany. mkatz@ukaachen.de.
Mark OomsDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelstraße 30, Aachen, 52074, Germany.
Philipp WinnandDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelstraße 30, Aachen, 52074, Germany.
Marius HeitzerDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelstraße 30, Aachen, 52074, Germany.
Anna BockDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelstraße 30, Aachen, 52074, Germany.
Kristian KnihaDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelstraße 30, Aachen, 52074, Germany.
Frank HölzleDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelstraße 30, Aachen, 52074, Germany.
Ali ModabberDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelstraße 30, Aachen, 52074, Germany.
RWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to determine the values of different perfusion parameters- such as oxygen saturation, the relative amount of hemoglobin, and blood flow- in healthy subjects compared to patients with gingivitis as a non-invasive measurement method.

methodsA total of 114 subjects were enrolled in this study and separated into subjects with gingivitis (50) and without gingivitis (64) based on clinical examination. Gingival perfusion was measured at 22 points in the maxilla and mandible using laser Doppler flowmetry and tissue spectrophotometry (LDF-TS) with the "oxygen to see" device. All patients underwent measurement of gingival perfusion, followed by the clinical evaluation (measurement of probing depths, evaluation of bleeding on probing, plaque level, and biotype). Perfusion parameters were compared between the groups, associations between the non-invasive and clinical measurements were analyzed, and theoretical optimal cut-off values for predicting gingivitis were calculated with receiver operating characteristics.

resultsThe mean oxygen saturation, mean relative amount of hemoglobin, and mean blood flow all significantly differed between the groups with and without gingivitis (p = 0.005, p < 0.001, and p < 0.001, respectively). The cut-off value for predicting gingivitis was > 40 AU (p < 0.001; sensitivity 0.90, specificity 0.67).

conclusionsAs a non-invasive method, LDF-TS can help determine gingival hyperemia. Flow values above 40 AU indicate a higher risk of hyperemia, which can be associated with inflammation. The LDF-TS method can be used for the objective evaluation of perfusion parameters during routine examinations and can signal the progression of hyperperfusion before any change in clinical parameters is observed.

trial registrationAll procedures performed in this study involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The study was approved by the institutional Clinical Research Ethics Committee (Ethik-Kommission der Medizinischen Fakultät der RWTH Aachen, Decision Number 286/20) and retrospectively registered by the German Clinical Trials Register (File Number DRKS00024048, registered on the 15th of October 2021).

Indexed as

GingivitisHyperemiaHemoglobinsHumansInflammationLaser-Doppler FlowmetryPerfusionProspective StudiesSpectrophotometryHemoglobinsGingivitisHyperemiaInflammationLaser-doppler flowmetryOxygenationPerfusionTissue spectrophotometry

Identifiers

PMID37838702
PMCPMC10576369
OpenAlexW4387642297

What Socratic 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 Socratic graph.