A population study to define the incidence and survival of multiple myeloma in a National Health Service Region in UK
Bibliographic record
Abstract
Epidemiology data on multiple myeloma (MM) occurrence and outcome is inconsistent whilst a major limitation of randomized controlled trials is selection bias. We present a population-based analysis of patients diagnosed with MM in the South Thames area, which comprises 5.4 million adult inhabitants. A total of 855 cases of MM were ascertained between 1999 and 2000 in a collaborative project involving haematologists and the Thames Cancer Registry. The age-standardized rate was 3.29 per 100 000 and 4.82 cases per 100 000 (World Standard and European Population respectively). The median age was 73 years. The median survival for the whole group was 24 months whist it was 42 and 18 months in those aged less than 65 years and greater than 65 years respectively (P < 0.001). This population study has shown a higher incidence than previously reported in the UK and Europe and provides a benchmark for future studies. If survival is to be improved, future clinical trials and health care planning should consider patients over 65 years of age.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".