[Meta analysis of the changes of blood coagulation in patients with active ulcerative colitis].
Bibliographic record
Abstract
OBJECTIVE: To evaluate the changes of blood coagulation in patients with active ulcerative colitis. METHODS: We searched the PubMed, Medline, EMBASE, Web of Science, the Cochrane Library, China National Knowledge Infrastructure (CNKI), China Biology Medicine (CBM), Wanfang Database for the Chinese or English literatures published until January 2015. The data that met the inclusion criteria were screened and evaluated. After evaluation, the eligible ones were subjected to Newcastle-Ottawa Scale (NOS) and meta analysis using the Stata12.0 software. RESULTS: A total of 28 case-control studies were recruited for the meta analysis. The analysis results showed that the levels of platelet (PLT), fibrinogen (FIB) and D-dimer significantly increased in active ulcerative colitis group compared with normal control group. The levels of mean platelet volume (MPV) and prothrombin time (PT) significantly decreased in active ulcerative colitis group compared with normal control group. Sensitivity analysis showed that the evaluation result was stable. Egger and Begg tests suggested no evidence of substantial publication bias except for the literatures about D-dimer. CONCLUSION: Abnormal blood coagulation indexes of active ulcerative colitis patients indicate there may be high coagulation state in ulcerative colitis.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.030 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".