Evidence map›Paper›PMID 33675267›Full record

ReviewJournal of sleep research2021

Research routes on improved sleep bruxism metrics: Toward a standardised approach.

Gilles Lavigne, Takafumi Kato, Alberto Herrero Babiloni, Nelly Huynh, Cibele Dal Fabbro, Peter Svensson, Ghizlane Aarab, Jari Ahlberg, Kazuyoshi Baba, Maria Clotilde Carra and 6 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of sleep research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
11.5field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 59 citations in OpenAlex.

  1. Sleep bruxism is highly prevalent in adults with obstructive sleep apnea: a large-scale polysomnographic study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Diagnostic accuracy of ambulatory polysomnography with electroencephalogram for detection of sleep bruxism-related masticatory muscle activity.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
    Article
  13. Ecological Momentary Assessment of Masseter Muscle Activity in Patients with Bruxism.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 12 institutions in 10 countries.

Gilles LavigneFaculty of Dental Medicine, Universite de Montreal & CIUSSS Nord Ile de Montreal, Center for Advance Research in Sleep Medicine & Stomatology, CHUM, Montreal, QC, Canada.
Takafumi KatoDepartment of Oral Physiology Graduate School of Dentistry, Sleep Medicine Center, Osaka University Hospital, Osaka University, Suita, Japan.ORCID 0000-0003-2452-7328
Alberto Herrero BabiloniDivision of Experimental Medicine, McGill University, Montreal, QC, Canada.ORCID 0000-0001-5588-5916
Nelly HuynhFaculty of Dental Medicine, Universite de Montreal and CHU Saint-Justine Research Center, Montreal, QC, Canada.
Cibele Dal FabbroFaculty of Dental Medicine, Universite de Montreal & CIUSSS Nord Ile de Montreal, Center for Advance Research in Sleep Medicine & Stomatology, CHUM, Montreal, QC, Canada.
Peter SvenssonSection of Orofacial Pain and Jaw Function, Department of Dentistry and Oral Health, Aarhus University, Aarhus, Denmark.
Ghizlane AarabDepartment of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Jari AhlbergDepartment of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland.
Kazuyoshi BabaDepartment of Prosthodontics, School of Dentistry, Showa University, Tokyo, Japan.ORCID 0000-0001-8025-2168
Maria Clotilde CarraUFR of Odontology Garanciere, Université de Paris and Service of Odontology, Rothschild Hospital (AP-HP), Paris, France.
Thays Crosara A CunhaDepartment of Genetics and Biochemistry, Federal University of Uberlandia, Uberlandia, Brazil.ORCID 0000-0003-2361-1157
Daniela A G GonçalvesDepartment of Dental Materials and Prosthodontics, School of Dentistry, São Paulo State University (Unesp), Araraquara, Brazil.
Daniele ManfrediniDepartment of Biomedical Technologies, School of Dentistry, University of Siena, Siena, Italy.
Juliana Stuginski-BarbosaBauru Orofacial Pain Group, Bauru, Brazil.ORCID 0000-0002-7805-5672
Mieszko WieckiewiczDepartment of Experimental Dentistry, Wroclaw Medical University, Wroclaw, Poland.ORCID 0000-0003-4953-7143
Frank LobbezooDepartment of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal · CAAcademic Center for Dentistry Amsterdam · NLCentre Hospitalier Universitaire Sainte-Justine · CALund University · SEOsaka University Hospital · JPShowa University · JPUniversidade Estadual Paulista (Unesp) · BRUniversidade Federal de Uberlândia · BRUniversité Paris Cité · FRUniversity of Helsinki · FIUniversity of Siena · ITWroclaw Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent report from the European Sleep Research Society's task force "Beyond AHI" discussed an issue that has been a long-term subject of debate - what are the best metrics for obstructive sleep apnoea (OSA) diagnosis and treatment outcome assessments? In a similar way, sleep bruxism (SB) metrics have also been a recurrent issue for >30 years and there is still uncertainty in dentistry regarding their optimisation and clinical relevance. SB can occur alone or with comorbidities such as OSA, gastroesophageal reflux disorder, insomnia, headache, orofacial pain, periodic limb movement, rapid eye movement behaviour disorder, and sleep epilepsy. Classically, the diagnosis of SB is based on the patient's dental and medical history and clinical manifestations; electromyography is used in research and for complex cases. The emergence of new technologies, such as sensors and artificial intelligence, has opened new opportunities. The main objective of the present review is to stimulate the creation of a collaborative taskforce on SB metrics. Several examples are available in sleep medicine. The development of more homogenised metrics could improve the accuracy and refinement of SB assessment, while moving forward toward a personalised approach. It is time to develop SB metrics that are relevant to clinical outcomes and benefit patients who suffer from one or more possible negative consequences of SB.

Indexed as

Sleep Apnea, ObstructiveSleep BruxismSleep Initiation and Maintenance DisordersArtificial IntelligenceHumansdental sleep medicineelectromyographyobstructive sleep apnoeaphenotypesleep bruxismtooth-grinding

Identifiers

PMID33675267
OpenAlexW3133901600

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.