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Catastrophizing is associated with pain-related disability in temporomandibular disorders

2023· article· en· W4383825276 on OpenAlexaff
Cintia Regina Andrade SOUSA, Ynara Bosco de Oliveira Lima‐Arsati, Ana Míriam Velly, Carlos Alberto Lima da Silva, Franco Arsati

Bibliographic record

VenueBrazilian Oral Research · 2023
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsMcGill University
FundersConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsBiopsychosocial modelPain catastrophizingMedicineAnxietyOdds ratioPhysical therapyDepression (economics)Confidence intervalChronic painLogistic regressionPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

This study aimed to evaluate the association of pain-related disability with biopsychosocial factors in temporomandibular disorders (TMD) patients. The study was carried out at the Orofacial Pain Outpatient Clinic of the State University of Feira de Santana, Bahia, from September 2018 to March 2020. The sociodemographic aspects, TMD subtypes, presence of pain-induced disability, pressure pain threshold, perceived stress, anxiety, depression, and catastrophizing were evaluated in 61 patients. The studied variables were compared between patients with and without pain-induced disability. Crude and adjusted logistic regression were performed to obtain estimates of odds ratios (OR) and 95% confidence intervals. With the exception of catastrophizing, there was no association between the biopsychosocial factors and pain-induced disability. The presence of catastrophizing increased the chance of having chronic pain-induced disability by 4.02 times. The results of this study indicate a strong association between pain catastrophizing and disability in individuals with chronic painful 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.370
Teacher spread0.334 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations11
Published2023
Admission routes1
Has abstractyes

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