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Record W5793289 · doi:10.1155/2012/970423

Pain Catastrophizing Predicts Poor Response to Topical Analgesics in Patients with Neuropathic Pain

2012· article· en· W5793289 on OpenAlex
Tsipora Mankovsky, Mary Lynch, AJ Clark, Jana Sawynok, Michael Sullivan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePain Research and Management · 2012
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsQueen Elizabeth II Health Sciences CentreDalhousie UniversityAlberta Health ServicesMcGill University
FundersCanadian Institutes of Health Research
KeywordsNeuropathic painMedicinePain catastrophizingAnesthesiaPhysical therapyChronic pain

Abstract

fetched live from OpenAlex

The prevalence of neuropathic pain approaches 10% in Canada and the United States. Given the aging population and the increasing survival rates following interventions for neuropathic pain, the prevalence of neuropathic pain conditions is expected to rise significantly over the next 20 years. Although pharmacological interventions represent the dominant treatment approach for neuropathic pain, as many as 50% of patients are partially or completely refractory to the available treatments. Pain catastrophizing has been associated with heightened pain experiences in patients with neuropathic pain conditions; however, the clinical relevance of the relationship between catastrophizing and poor treatment outcomes is, to date, unclear. Accordingly, using a numerical rating scale, this study aimed to examine this relationship in patients with varied neuropathic pain conditions who completed a measure of catastrophizing before initiating a course of topical analgesic. BACKGROUND: Previous research suggests that high levels of pain catastrophizing might predict poorer response to pharmacological interventions for neuropathic pain. OBJECTIVE: The present study sought to examine the clinical relevance of the relation between catastrophizing and analgesic response in individuals with neuropathic pain. Clinically meaningful reductions were defined in terms of the magnitude of reductions in pain through the course of treatment, and in terms of the number of patients whose end‐of‐treatment pain ratings were below 4/10. METHODS: Patients (n=82) with neuropathic pain conditions completed a measure of pain catastrophizing at the beginning of a three‐week trial examining the efficacy of topical analgesics for neuropathic pain. RESULTS: Consistent with previous research, high scores on the measure of pain catastrophizing prospectively predicted poorer response to treatment. Fewer catastrophizers than noncatastrophizers showed moderate (≥2 points) or substantial reductions in pain ratings through the course of treatment. Fewer catastrophizers than noncatastrophizers achieved end‐of‐treatment pain ratings below 4/10. CONCLUSIONS: The results of the present study suggest that the development of brief interventions specifically targeting catastrophic thinking might be useful for enhancing the effects of pharmacological interventions for neuropathic pain. Furthermore, failure to account for the level of catastrophizing might contribute to null findings in clinical trials of analgesic medication.

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.

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)0.027
metaresearch head score (Gemma)0.002
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 score0.147
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0270.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.308
Teacher spread0.275 · 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