Fibromyalgia and mortality: a systematic review and meta-analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To conduct a systematic review of the literature on the association between fibromyalgia and mortality and to pool the results in a meta-analysis. METHODS: The authors searched the PubMed, Scopus, and Web of Science databases using the key words 'fibromyalgia' and 'mortality' to identify studies that addressed an association between fibromyalgia and mortality. Original papers that assessed associations between fibromyalgia and mortality (all or specific causes) and provided an effect measure (hazard ratio (HR), standardised mortality ratio (SMR), odds ratio (OR)) quantifying the relationship between fibromyalgia and mortality were included in the systematic review. Of 557 papers that were initially identified using the search words, 8 papers were considered eligible for the systematic review and meta-analysis. We used a Newcastle-Ottawa scale to assess the risk of bias in the studies. RESULTS: The total fibromyalgia group included 188 751 patients. An increased HR was found for all-cause mortality (HR 1.27, 95% CI 1.04 to 1.51), but not for the subgroup diagnosed by the 1990 criteria. There was a borderline increased SMR for accidents (SMR 1.95, 95% CI 0.97 to 3.92), an increased risk for mortality from infections (SMR 1.66, 95% CI 1.15 to 2.38), and suicide (SMR 3.37, 95% CI 1.52 to 7.50), and a decreased mortality rate for cancer (SMR 0.82, 95% CI 0.69 to 0.97). The studies showed significant heterogeneity. CONCLUSIONS: These potential associations indicate that fibromyalgia should be taken seriously, with a special focus on screening for suicidal ideation, accident prevention, and the prevention and treatment of infections.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.016 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it