Estimates of the Prevalence and Number of Fibromyalgia Syndrome Patients and Their Alpha-1 Antitrypsin Phenotypic Distribution in Ten Countries
Bibliographic record
Abstract
Objectives: During the last few years, clinical, epidemiological, and pathological evidence has suggested that inherited alpha-1 antitrypsin [AAT] deficiency might play a role in the development of the fibromyalgia syndrome [FMS], probably because of the loss of AAT anti-inflammatory efficacy. The objective of this study was to estimate the prevalence and number of FMS patients, and their AAT phenotypic distribution worldwide. Methods: A critical review selecting reliable studies on the subject.Results: Studies on AAT gene frequencies and FMS prevalence were retrieved for ten countries worldwide, namely Canada, the United States of America [USA], Denmark, Finland, Germany, Italy, the Netherlands, Spain, Sweden, and Pakistan. The severe deficiency Z allele was found in all these countries, with very high frequencies in Denmark and Sweden [23 and 27 per 1,000, respectively], high frequencies in Italy and Spain [16 and 17], intermediate frequencies in Germany, the Netherlands, Canada, and the USA [10 to 14], and a low frequency in Pakistan [nine per 1,000]. The calculated prevalence of AAT deficiency and the number of FMS patients with AAT deficiency were 1/10 and 25,408 in Canada, 1/11 and 478,681 in the US, 1/9 and 3,124 in Denmark, 1/36 and 726 in Finland, 1/16 and 48,523 in Germany, 1/13 and 84,876 in Italy, 1/15 and 9,639 in the Netherlands, 1/4 and 114,359 in Spain, 1/11 and 9,065 in Sweden, and 1/25 and 85,965 in Pakistan. Our calculations predict that AAT deficiency would remain undetected in around nine percent of FMS patients, with about eight percent of them carrying moderate deficiency phenotypes [MS, SS, and MZ], and less than one percent with severe deficiency phenotypes [SZ and ZZ].Conclusions: Therefore, AAT phenotype characterization should be recommended in FMS patients and the possible efficacy of AAT replacement therapy in severe deficiency FMS patients should warrant further studies.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".