Evidence map›Paper›PMID 38888691›Full record

ArticleClinical oral investigations2024

Exploring the causal effects of sleep characteristics on TMD-related pain: a two-sample Mendelian randomization study.

Chao Xu, Xusheng Ren, Peng Lin, Shumei Jin, Zhichao Zhang

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Article in Clinical oral investigations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chao XuDepartment of Orthodontics, Jinan Stomatological Hospital, 82 Weier Road, Jinan, Shandong, China.
Xusheng RenDepartment of Orthodontics, Jinan Stomatological Hospital, 82 Weier Road, Jinan, Shandong, China.
Peng LinDepartment of Orthodontics, Jinan Stomatological Hospital, 82 Weier Road, Jinan, Shandong, China.
Shumei JinDepartment of Orthodontics, Jinan Stomatological Hospital, 82 Weier Road, Jinan, Shandong, China.
Zhichao ZhangDepartment of Oral and Maxillofacial Surgery, the Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, Shandong, China. 201762017689@email.sdu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study was to explore the causal effects of sleep characteristics on temporomandibular disorder (TMD)-related pain using Mendelian randomization (MR) analysis. MATERIALS AND

methodsFive sleep characteristics (short sleep, insomnia, chronotype, snoring, sleep apnea) were designated as exposure factors. Data were obtained from previous publicized genome-wide association studies and single nucleotide polymorphisms (SNPs) strongly associated with them were utilized as instrumental variables (IVs). TMD-related pain was designed as outcome variable and sourced from the FinnGens database. MR analysis was employed to explore the causal effects of the five sleep characteristics on TMD-related pain. The causal effect was analyzed using the inverse variance-weighted (IVW), weighted median, and MR-Egger methods. Subsequently, sensitivity analyses were conducted using Cochran's Q tests, funnel plots, leave-one-out analyses, and MR-Egger intercept tests.

resultsA causal effect of short sleep on TMD-related pain was revealed by IVW (OR: 1.60, 95% CI: 1.06-2.41, P = 0.026). No causal relationship was identified between other sleep characteristics (insomnia, chronotype, snoring, sleep apnea) and TMD-related pain.

conclusionsOur study suggests that short sleep may increase the risk of TMD-related pain, while there was no causal relationship between other sleep characteristics and TMD-related pain. Further studies are warranted to deepen and definitively clarify their relationship. CLINICAL RELEVANCE: These findings reveal that the short sleep may be a risk factor of TMD-related pain and highlight the potential therapeutical effect of extending sleep time on alleviating TMD-related pain.

Indexed as

Mendelian Randomization AnalysisPolymorphism, Single NucleotideTemporomandibular Joint DisordersGenome-Wide Association StudyHumansRisk FactorsSleep Apnea SyndromesSleep Wake DisordersSnoringMendelian randomization analysisPainSleep wake disordersTemporomandibular joint disorders

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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.