Towards a better definition of nociplastic pain conditions: a psychological grounded study on fibromyalgia, chronic headache and vulvodynia
Bibliographic record
Abstract
Background: This study investigates the psychological underpinnings of chronic pain conditions, specifically fibromyalgia, chronic headache, vulvodynia, and mixed condition (consisting of fibromyalgia in comorbidity with chronic headache and/or vulvodynia), with a focus on nociplastic pain mechanisms.Objective: The aim of the study is to better understand the psychological functioning of women with different chronic pain conditions to identify and discuss similarities and differences. In particular, we aim to explore any significant differences in the domain of traumatic experiences, in global defensive functioning, and in the domain of alexithymia among the evaluated groups. Further, the 4 groups with chronic pain will be compared with a healthy control group.Methods: A sample of 1006 Italian women diagnosed with chronic pain participated in the study, categorized into four clinical groups and a healthy control group. Measures were assessed using self-report measures, in particular: Traumatic Experiences Checklist, Defense Mechanism Rating Scales, and Toronto Alexithymia Scale.Results: There are significant differences among groups, with mixed conditions exhibiting the highest levels of traumatic experiences, particularly emotional neglect and physical threats. Fibromyalgia and mixed condition groups displayed greater reliance on neurotic defense mechanisms. Additionally, fibromyalgia and mixed condition participants exhibited higher levels of alexithymia, indicating difficulties in emotional processing.Conclusions: These findings underscore the complex interplay between psychological factors and nociplastic pain conditions, emphasizing the importance of personalized psychological interventions in managing nociplastic pain. The study highlights the need for multidisciplinary approaches to nociplastic pain treatment, considering the diverse psychological profiles of affected individuals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".