Alexithymia Has No Clinically Relevant Association With Outcome of Multimodal Treatment Tailored to Needs of Patients Suffering From Somatic Symptom and Related Disorders. A Clinical Prospective Study
Bibliographic record
Abstract
Introduction Alexithymia may moderate the effectiveness of treatment and may predict impaired general functioning of patients suffering from somatic symptom and related disorders (SSRD). Aim We compared alexithymia levels in a clinical prospective study with 234 consecutive patients suffering from SSRD from the Centre of Excellence for Body, Mind, and Health, Tilburg using the Bermond-Vorst Alexithymia Questionnaire, with general population norm scores. Second, we explored treatment outcomes of a multimodal treatment tailored to patient needs by Shared Decision Making (SDM) and Patient Related Outcome Monitoring (PROM) in patients with SSRD. Third, we explored whether alexithymia is associated with treatment outcome. Fourth, we explored if the presence of a chronic medical condition (e.g., diabetes mellitus, cardiovascular diseases) affects the association of alexithymia with treatment outcomes. Results Compared to norm scores, SSRD patients showed elevated scores on the subscales identifying, verbalizing, and fantasizing, and on the cognitive dimension. All patients benefited from treatment in terms of anxiety, depression, and physical symptoms. The association of alexithymia with treatment outcome was significant, but the effect size was negligible (range odds ratios 1.02 – 1.25). The association between alexithymia and treatment outcome was stronger in patients suffering from chronic medical conditions compared to patients without chronic medical conditions. However, the effect size of this association was negligible (range odds ratio 0.94 – 1.12). Discussion Alexithymia scores are elevated in patients with SSRD compared with general population scores, but the level of alexithymia has no clinically relevant association with treatment outcome both in SSRD patients with and without comorbid chronic medical conditions.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".