Clinical Analysis of Apatinib in the Treatment of Patients with Residual Tumor after Radical Chemoradiotherapy for Locally Advanced Cervical Cancer
Bibliographic record
Abstract
There is no standard treatment for locally advanced cervical cancer, patients with residual tumor after radical concurrent chemoradiotherapy. This study was to investigate the short-term efficacy and safety of the targeted drug apatinib mesylate in patients with tumor residual after radical chemoradiotherapy for locally advanced cervical cancer. Eight patients with residual tumors after localized concurrent chemoradiotherapy with locally advanced cervical cancer were treated with apatinib (250 mg once daily, orally). The short-term efficacy and safety of the eight patients treated with apatinib were initially evaluated. Total Effectiveness (ORR) 37.5% and disease control rate (DCR) 100.0%. The toxicity and side effects were light, mainly manifested as 37.5% of hand-foot syndrome, 37.5% of proteinuria, 25.0% of hypertension, 12.5% of fatigue, 12.5% of rash, and 12.5% of vomiting. No serious toxic side effects associated with the drug were observed. Apatinib mesylate can be safely used in patients with residual tumor after radical chemoradiotherapy for locally advanced cervical cancer. The short-term effect is positive and the side effects are low.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".