Nocebo effects in the treatment of endometriosis
Bibliographic record
Abstract
The current approach to treating endometriosis is often inadequate or intolerable for many patients. Until more effective therapies are available, we should aim to maximize the effectiveness of our current options. Optimization may be possible by reducing nocebo effects, which are the negative therapeutic effects not directly caused by a treatment. Awareness of these effects, how they arise, and the factors influencing them, is invaluable if we aim to limit their magnitude. The unique nature of endometriosis diagnosis and management is especially prone to nocebo effects due to multiple factors, including diagnostic delays, feelings of invalidation, social transmission of expectations, and persistent symptoms despite numerous treatments. This commentary discusses the origins of these effects in people with endometriosis, methods of limiting nocebo effects, and future research directions. LAY SUMMARY: The term 'nocebo' describes the undesirable effects of a medication or treatment that patients may experience which are not directly caused by the treatment (e.g. tiredness from a sugar pill). These arise from pre-existing expectations toward a treatment and are influenced by multiple external factors, including past experiences, online media, personal beliefs, and personality factors. Endometriosis is a disease characterized by cells like those from the inside of the uterus growing outside of the uterus. The complex nature of endometriosis diagnosis and management creates an environment where nocebo effects may affect treatment outcomes. We may be able to limit nocebo effects through awareness and simple actions that strengthen patient-doctor relationships. Effective therapeutic relationships with doctors are crucial in limiting negative expectations and are established through empathy, honesty, and support. Therapeutic relationships built on trust may allow healthcare providers to address negative expectations, nocebo effects, and the misinformation affecting endometriosis management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".