Evidence map›Paper›PMID 38798761›Full record

ArticleInternational journal of dentistry2024

Occlusal Features and Temporomandibular Joint Disorder: A Cross-Sectional Study.

Mustafa M Al-Khatieeb, Layth M Nissan, Yasir R Al-Labban, Mushriq Abid

Abstract read
In one paragraph

Article in International journal of dentistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Mustafa M Al-KhatieebOrthodontic Department, College of Dentistry, University of Baghdad, Baghdad, Iraq.ORCID https://orcid.org/0000-0001-8372-4087
Layth M NissanOrthodontic Department, College of Dentistry, University of Baghdad, Baghdad, Iraq.ORCID https://orcid.org/0000-0002-0542-3075
Yasir R Al-LabbanOrthodontic Department, College of Dentistry, University of Baghdad, Baghdad, Iraq.ORCID https://orcid.org/0009-0003-7101-299X
Mushriq AbidOrthodontic Department, College of Dentistry, University of Baghdad, Baghdad, Iraq.ORCID https://orcid.org/0000-0001-8171-7465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding the correlation between temporomandibular joint disorder (TMD) parameters and various occlusal features can play a significant role in diagnosing and treating occlusal problems and their potential consequences on TMD. Objectives: To investigate the relationship of occlusal features and some of the TMD parameters. Results: Regarding molar classification, there were strong positive correlations between subjects with TMD and having different molar classifications (class I, II, and III) bilaterally or unilaterally; furthermore, there were strong positive correlations between subjects with TMD and having different canine classifications. Moreover, there were significant correlations between subjects with increased, normal, or decreased overjet and the TMD parameters. In addition, there were weak positive correlations between TMD occurrence and buccal or lingual posterior crossbite. On the other hand, there were significant correlations between subjects with a decreased overbite and the presence of TMD parameters. Conclusion: TMD had a multifactorial background rather than dependability on a specific molar or canine classification type. There was also a correlation between overjet and TMD muscle pain, while decreased overbite was correlated to muscle and TMJ pain. Conversely, there is no vital correlation between posterior buccal or lingual crossbite occurrence and TMD parameters.

Identifiers

PMID38798761
PMCPMC11127760

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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.