Níveis séricos da IL-13 na esclerose sistêmica: uma revisão sistemática com meta-análise / Serum levels of IL-13 in systemic sclerosis: a systematic review with meta-analysis
Bibliographic record
Abstract
A interleucina-13 (IL-13) sérica foi investigada na esclerose sistêmica (ES) por meio de uma meta-análise para avaliar a possível diferença nos níveis em pacientes com a doença e pessoas saudáveis. As buscas foram realizadas nas bases de dados Pubmed, ScienceDirect, Cochrane Library, LILACS e Scopus para estudos do tipo caso-controle pertinentes utilizando os descritores. Os níveis séricos dos pacientes com ES em relação aos controles saudáveis foram plotados usando o software Review Manager 5.3. A avaliação da qualidade de cada estudo elegível foi conduzida na Escala de Newcastle-Ottawa (NOS). Quatro estudos de caso-controle foram selecionados para esta meta-análise e continham um total de 120 pacientes com ES e 84 controles saudáveis. Nossos resultados demonstram níveis séricos elevados da IL-13 em pacientes com ES, com um agrupamento médio de 0,70 ng/ml (p=0,00001) (IC 95%: -0,42 a -0,99, p=0,6). A IL-13 está aumentada no soro de pacientes com ES em comparação com os controles saudáveis e pode ser útil como possível biomarcador da doença.
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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 | 0.028 | 0.055 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.019 | 0.042 |
| Bibliometrics | 0.015 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".