Erratum to: Incidence of malignancy in adult patients with rheumatoid arthritis: a meta-analysis
Bibliographic record
Abstract
It has come to our attention that, in our recently published article on the incidence of malignancy in adult patients with rheumatoid arthritis [1], the risk of melanoma requires additional clarification. Indeed, the meta-analysis of the risk of melanoma among patients with rheumatoid arthritis compared with the general population showed a standardized incidence rate ratio of 1.23 (95 % confidence interval 1.01, 1.49). This finding was erroneously included in the list of malignancies for which there was no consistent trend in risk among patients with rheumatoid arthritis versus the general population. Instead, with our current, updated meta-analysis it should be considered that there is now a suggestion of a possible increased risk for melanoma. With respect to the Discussion section of our article, we would like to note that the summary standardized incidence ratio shows a modest increased risk for melanoma.
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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 | 0.010 | 0.110 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.007 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.026 | 0.006 |
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".