Long‐term opioid treatment and endocrine measures in chronic non‐cancer pain patients: A systematic review and meta‐analysis
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Long-term opioid treatment (L-TOT) of chronic non-cancer pain (CNCP) patients has been suspected to alter the endocrine system. This systematic review and meta-analysis aimed at investigating the published evidence of L-TOT effects on the endocrine system in adult CNCP patients. DATABASES AND DATA TREATMENT: A systematic search of the literature in MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials and the CINAHL was performed. Studies examining measures of endocrine function of the hypothalamic-pituitary-gonadal, -adrenal, -thyroid, -somatotropic and -prolactin axis in adult CNCP patients in L-TOT (≥4 weeks of use) were included. Outcomes and the level of evidence were analyzed (The Cochrane Collaboration Tool, modified version of the Newcastle-Ottawa Scale and Rating of Recommendations Assessment, Development and Evaluation working group). RESULTS: A total of 2,660 studies were identified; 1981 excluded and finally thirteen studies (one randomized controlled trial (RCT), three longitudinal- and nine cross-sectional studies) were analyzed. L-TOT was associated with low insulin, suppression of the hypothalamic-pituitary-gonadal axis and alterations of the hypothalamic-pituitary-adrenal axis in both men and women with CNCP compared to different control groups (CNCP or healthy pain-free). No other significant differences were reported. The studies had a high risk of bias and the overall quality of evidence was low. CONCLUSION: There seems to be an impact of L-TOT in CNCP patients on several components of the endocrine system, but the level of evidence is weak. Given the high prevalence of L-TOT use systematic studies of larger patient populations are urgently needed. SIGNIFICANCE: This systematic review and meta-analysis suggested that long-term opioid treatment may suppress the hypothalamic-pituitary-gonadal axis, and result in lower insulin levels and alter the glucocorticoid adrenal axis in adult chronic non-cancer pain patients. This adds to the need of more research of both clinical and paraclinical outcomes and their association when initiating and maintaining long-term opioid treatment.
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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 | 0.011 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.028 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".