Evidence map›Paper›PMID 39979951›Full record

Trial reportBMC surgery2025

Effectiveness of topical application with dexamethasone during sagittal split osteotomy of the mandible in minimising clinical symptoms of postoperative neurosensory disorders.

Iryna Logvynenko, Larysa Dakhno, Valeriia Bursova

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Iryna LogvynenkoDepartment of Oral and Maxillo-Facial Surgery, Bogomolets National Medical University, Kyiv, 01601, Ukraine.
Larysa DakhnoCentral Laboratory Diagnosis of the Head, Kyiv, 04080, Ukraine.
Valeriia BursovaDepartment of Oral and Maxillo-Facial Surgery, Bogomolets National Medical University, Kyiv, 01601, Ukraine. bursovavaleriia@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate the effectiveness of topical application with dexamethasone during BSSO due to its anti-inflammatory effect and decreasing of postoperative nerve oedema in minimising clinical symptoms of NSD associated with inferior alveolar nerve (IAN) injury in postoperative period, based on the results of sensory diagnostic tests, such as light touch test and its modifications.

methodsThrough randomisation, 2 groups were selected from 22 patients: the experimental- where topical application with solution of dexamethasone phosphate 0.4% (4 mg/1 ml ampules) during sagittal split osteotomy of the mandible was used, and the control- where the classical technique of BSSO was held.

resultsAuthors performed diagnostics of NSD using Light Touch test on 1st day, 1st week, 1st month, 3rd month and 6th month postoperatively. The experimental group showed improvements in sensory recovery compared to the control group, particularly from 1 week to 3 months post-surgery. By 6 months, both groups achieved similar levels of sensitivity restoration.

conclusionsThis confirms the effectiveness of proposed method and opens up further prospects for the updated function of the IAN following the BSSO. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Anti-Inflammatory AgentsDexamethasoneMandibleMandibular Nerve InjuriesOsteotomy, Sagittal Split RamusPostoperative ComplicationsAdministration, TopicalAdultFemaleHumansMaleTreatment OutcomeYoung AdultAnti-Inflammatory AgentsDexamethasoneInferior alveolar nerveMandibular nerve injuriesOrthognathic surgical proceduresSensation disordersSensitivity

Identifiers

PMID39979951
PMCPMC11841240

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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.