Evidence map›Paper›PMID 38631679›Full record

Trial reportJournal of clinical periodontology2024

Enhanced control of periodontitis by an artificial intelligence-enabled multimodal-sensing toothbrush and targeted mHealth micromessages: A randomized trial.

Yuan Li, Xinyu Wu, Min Liu, Ke Deng, Annamaria Tullini, Xiao Zhang, Junyu Shi, Hongchang Lai, Maurizio S Tonetti

2 registry-linked trialsOpen access · hybridAbstract readRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in Journal of clinical periodontology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
8.4field-weighted citation impact, top 2% 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.

NCT05137392 nacompletednot on this map

Impact of Intensive Oral Hygiene Regimen Based on Individualized Messages and an Intelligent Power-driven Toothbrush on Non-surgical Treatment of Stage II and III Periodontitis: A Randomized, Standard of Care-controlled Trial

TypeinterventionalSponsorShanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong UniversityRan2022 to 2023Enrolled100ConditionsPeriodontitisArmsoral hygiene instruction
NCT07549347 narecruitingnot on this mapstarted 2026, after this paper: background citation

Optimal Oral Care Regimen With or Without Professional Mechanical Plaque Removal in Managing Gingivitis (Gingival Inflammation): A Non-inferiority Randomized Controlled Trial

TypeinterventionalSponsorShanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong UniversityRan2026 to 2027Enrolled92ConditionsGingivitis, PeriodontitisArmsOptimal oral care regimen, Periodontal Treatment, Sham Periodontal Treatment
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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  18. [Applications and perspectives of artificial intelligence in periodontology].Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2025
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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

9 authors at 1 institution in 1 country.

Yuan LiDepartment of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-0133-7516
Xinyu WuDepartment of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-1310-1452
Min LiuDepartment of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-4338-4123
Ke DengDepartment of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-1308-0399
Annamaria TulliniDepartment of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiao ZhangDepartment of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-6514-8813
Junyu ShiDepartment of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-8241-2572
Hongchang LaiDepartment of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-7799-606X
Maurizio S TonettiDepartment of Oral and Maxillofacial Implantology, Shanghai PerioImplant Innovation Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-2743-0137
Shanghai Jiao Tong University · CN

Funding

Biobank Project of Ninth People's Hospital affiliated Shanghai Jiao Tong University School of Medicine YBKB202102Clinical Research Program JYLJ201909Shanghai Clinical Research Center for Oral Diseases 19411950100
6 · The paper itself

Abstract

aimTreatment of periodontitis, a chronic inflammatory disease driven by biofilm dysbiosis, remains challenging due to patients' poor performance and adherence to the necessary oral hygiene procedures. Novel, artificial intelligence-enabled multimodal-sensing toothbrushes (AI-MST) can guide patients' oral hygiene practices in real-time and transmit valuable data to clinicians, thus enabling effective remote monitoring and guidance. The aim of this trial was to assess the effect of such a system as an adjunct to clinical practice guideline-conform treatment. MATERIALS AND

methodsThis was a single-centre, double-blind, standard-of-care controlled, randomized, parallel-group, superiority trial. Male and female adults with generalized Stage II/III periodontitis were recruited at the Shanghai Ninth People's Hospital, China. Subjects received a standard-of-care oral hygiene regimen or a technology-enabled, theory-based digital intervention consisting of an AI-MST and targeted doctor's guidance by remote micromessaging. Additionally, both groups received guideline-conform periodontal treatment. The primary outcome was the resolution of inflamed periodontal pockets (≥4 mm with bleeding on probing) at 6 months. The intention-to-treat (ITT) analysis included all subjects who received the allocated treatment and at least one follow-up.

resultsOne hundred patients were randomized and treated (50 tests/controls) between 1 February and 30 November 2022. Forty-eight tests (19 females) and 47 controls (16 females) were analysed in the ITT population. At 6 months, the proportion of inflamed periodontal pockets decreased from 80.7% (95% confidence interval [CI] 76.5-84.8) to 52.3% (47.7-57.0) in the control group, and from 81.4% (77.1-85.6) to 44.4% (39.9-48.9) in the test group. The inter-group difference was 7.9% (1.6-14.6, p < .05). Test subjects achieved better levels of oral hygiene (p < .001). No significant adverse events were observed.

conclusionsThe tested digital health intervention significantly improved the outcome of periodontal therapy by enhancing the adherence and performance of self-performed oral hygiene. The model breaks the traditional model of oral health care and has the potential to improve efficiency and reduce costs (NCT05137392).

Indexed as

Artificial IntelligenceTelemedicineToothbrushingAdultDouble-Blind MethodFemaleHumansMaleMiddle AgedOral HygienePeriodontitisTreatment Outcomeartificial intelligencedigital health interventionmHealthperiodontitispower toothbrushrandomized controlled trial

Identifiers

PMID38631679
PMCPMC11651722
OpenAlexW4394870730

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.