Depression and Anxiety as Important Aggravating Factors of Pain in Morton’s Neuroma
Bibliographic record
Abstract
This report represents a case of Morton’s Neuroma with episodic severe sharp pain. Initially, the patient was prescribed Naproxen 500 mg twice per day, anti-inflammatory topical cream, as well as massage. In a follow up visit, the patient was still experiencing frequent episodic sharp pain. In detailed patient interview, it was revealed that she has depression and anxiety and suffers from social isolation, which was concurrent with episodes of severe pain. Therefore, she was referred to a psychologist and a community support group and started practicing body relaxation techniques such as guided imagery and breathing exercises. The new treatment strategy had a major impact on improving her symptoms. This report aims to illustrate that depression and anxiety can be one of the main aggravating factors in episodic pain in Morton’s neuroma and removing psychosocial contributors of pain has the potential to decrease the need for more invasive interventions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".