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Record W4223579044 · doi:10.1111/joor.13331

Distribution of anxiety and depression among different subtypes of temporomandibular disorder: A systematic review and meta‐analysis

2022· review· en· W4223579044 on OpenAlexaboutno aff
Pedro Henrique Feres Reis, Laisa Araújo Cortinês Laxe, Rogério Lacerda‐Santos, Eliseu Aldrighi Münchow

Bibliographic record

VenueJournal of Oral Rehabilitation · 2022
Typereview
Languageen
FieldHealth Professions
TopicTemporomandibular Joint Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyDepression (economics)Research Diagnostic CriteriaMedicineClinical psychologyMeta-analysisInclusion and exclusion criteriaMEDLINECritical appraisalPanic disorderPhysical therapyPsychiatryInternal medicineAlternative medicinePathologyChronic pain

Abstract

fetched live from OpenAlex

BACKGROUND: The evidence on the relationship between anxiety and depression and patients with distinct subtypes of temporomandibular disorder (TMD) is uncertain, so a thorough review study on the topic is still missing. OBJECTIVES: This systematic review investigated the distribution and severity of anxiety and depression in patients diagnosed with different subtypes of TMD. METHODS: The study is registered in PROSPERO (CRD42020150562) and it followed the PRISMA 2020 Statement. We searched in PubMed, Web of Science, Scopus and SciELO databases (last search: 12 March 2021) and the reference list from the included studies. Study eligibility criteria consisted of: (i) patients diagnosed with TMD using the Research Diagnostic Criteria (RDC/TMD) or Diagnostic Criteria (DC/TMD) instruments; (ii) assessment of anxiety and/or depression with validated psychological instruments and (iii) allocation of patients into a minimum of two distinct TMD subtypes with at least one group having myofascial pain (comparison group). Analyses were carried out using RevMan 5.3.5 statistical package and random- or fixed-effects models (α = 0.05). The quality of evidence was assessed based on review authors' judgment derived from a 10-item appraisal tool for prevalence studies and with the Newcastle-Ottawa scale. RESULTS: Of the 4086 records identified in total, 24 were eligible for inclusion; meta-analyses were conducted with 20 studies. In total, 3678 subjects were included in the review. Most of the studies found that patients with myofascial pain showed similar occurrence and severity of anxiety/depression as compared to other subtypes of TMD, although the average prevalence seemed to be higher among the diagnoses consisting of myofascial pain (muscular TMD). Despite the moderate-to-high heterogeneity, anxiety and depression were more frequently distributed within patients with myofascial pain (p = .001). TMD patients without myofascial pain presented less severe levels of anxiety and depression than patients with only myofascial pain (p ≤ .01). The type of psychological instrument seems to affect the assessment of both anxiety and depression emotional states. CONCLUSION: The findings of this review suggest that patients with myofascial pain are more anxious and more depressed than patients with other subtypes of TMD. IMPLICATIONS: Considering that anxiety and depression are differently distributed within the TMD population, a proper assessment of the psychological state of patients seems essential to offer an adequate treatment and management of each specific subtype of TMD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.045
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0210.037
Bibliometrics0.0090.010
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.391
Teacher spread0.346 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations104
Published2022
Admission routes1
Has abstractyes

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