The association between Ki-67 expression and the clinical pathological characteristics of colorectal cancer
Bibliographic record
Abstract
BACKGROUND: This study will explore the association between Ki-67 expression and clinical pathological characteristics (CPC) of colorectal cancer (CC). METHODS: We will search relevant studies from electronic databases (Cochrane Library, PUBMED, EMBASE, Scopus, Cumulative Index to Nursing and Allied Health Literature, China Biology Medicine, and China National Knowledge Infrastructure) from beginning to April 1, 2020 without language and publication time limitations. We will consider all case-controlled studies (CCSs) or randomized controlled studies (RCSs) investigating the association between Ki-67 expression and CPC of CC. We will appraise study quality of CCSs by Newcastle-Ottawa Scale, and RCSs by Cochrane risk of bias tool. Statistical analysis will be carried out by Review Manager 5.3 software. RESULTS: The present study will explore the association between Ki-67 expression and CPC of CC. CONCLUSION: Its findings may summarize scientific evidence of the association between Ki-67 expression and CPC of CC, and may provide helpful evidence for clinical practice.Systematic review registration: PROSPERO CRD42020173795.
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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 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".