Additional file 1 of Glycosylated haemoglobin and prognosis in 10,536 people with cancer and pre-existing diabetes: a meta-analysis with dose-response analysis
Bibliographic record
Abstract
Additional file 1 Search algorithms on 25th Nov 2021. Supplementary Table 1. Reasons of exclusion of studies following full-text review. Supplementary Table 2. Data conversions and references of included studies. Supplementary Table 3. Newcastle-Ottawa score for included studies. Supplementary Table 4. Trim-and-fill analyses results. Supplementary Fig. 1. Flowchart for data conversion. Supplementary Fig. 2. Funnel plots following trim-and-fill. Supplementary Fig. 3. Meta-analysis within studies of high quality (NOS score ≥ 6). Supplementary Fig. 4a. Subgroup analyses by geographical region for HbA1c ≥ 7% vs. HbA1c < 7%. Supplementary Fig. 4b. Subgroup analyses by geographical region per 1-unit increment of HbA1c. Supplementary Fig. 5. Subgroup analyses by cancer sites. PRISMA checklist.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.767 | 0.040 |
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".