The association of Th17/Treg cells expression in peripheral blood and chronic spontaneous urticaria
Bibliographic record
Abstract
BACKGROUND: The pathogenesis of chronic spontaneous urticaria (CSU) is not clear, but its occurrence is closely related to the immune state of the body, that is, the balance of T cell subsets. Previous studies have confirmed that the dynamic imbalance of Th1/Th2 cells in CD4+T cell subsets of T cell subsets is closely related to the pathogenesis of CSU, but there are few studies on the relationship between the dynamic imbalance of Th17/Treg cells in CD4+T cell subsets and the pathogenesis of CSU. The purpose of this study is to evaluate the relationship between Th17/Treg cells expression in peripheral blood and CSU, so as to provide a reference basis for the pathogenesis of CSU. METHODS: PubMed, Embase, CENTRAL, Web of Science, China Biology Medicine Database, China National Knowledge Database, Wan Fang Database, and Chongqing VIP Database will be searched to collect case-control studies and cohort studies evaluating the relationship between Th17/Treg cells expression in peripheral blood and CSU. The search time limits will be from the establishment of the database to December 2020. The meta-analysis will be carried out with the RevMan V.5.3 statistical software. The quality of all included studies will be evaluated by the Newcastle-Ottawa scale. RESULTS: The results of this study will comprehensively evaluate the Th17/Treg cells expression levels in peripheral blood of patients with CSU, and provide a reference basis for the pathogenesis of CSU. CONCLUSION: The findings of this study may provide new evidence for the relationship between Th17/Treg cells balance in peripheral blood and CSU. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/S8MYW.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".