An Integrative Approach for Endometriosis-Related Pain
Bibliographic record
Abstract
Background: Pain is a common, severe symptom related to endometriosis. Despite this prominent feature, there is limited literature regarding its description and use of integrative treatment methods. Objective: We aimed to describe endometriosis-related pain characteristics, severity, and association with an integrative approach encompassing pharmacological and non-pharmacological methods. Methods: A cross-sectional descriptive correlational study was conducted using convenience sampling of adult women with endometriosis-related pain. Three questionnaires were utilized: a demographic and general health questionnaire, a visual analog pain scale (VAS), and the short-form McGill pain questionnaire (SF-MPQ). Results: Participants included 93 women with a mean general pain level of 6.2/10 (SD = 2.7) on the VAS. The total mean pain score on the SF-MPQ was 26.25/45 (SD = 10.1). Sixty-four women (68.8%) reported experiencing pain at the time of completion of the questionnaire (mean: 1.6/4, SD = 1.3). All participants utilized analgesia; those who used opioids reported a higher overall mean pain score of 2.3 (SD = 1.3) than patients who did not use opioids reported a mean of 1.4 (SD = 1.2; z = 9.59; P < .001). Present pain intensity was significantly higher for women using opioids than those not using opioids. In all, 77 women (82.8%) used integrative methods to alleviate the pain symptoms. Women who utilized nutritional therapy as part of the non-pharmacological method experienced lower mean (SD) overall pain (4.4 [2.5]) compared with patients who did not utilize nutritional therapy (6.75 [2.5]; P < .01). Conclusions: More studies are needed to find evidence-based treatment options for women for integrative pain relief for endometriosis-related pain.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".