Comparison of Efficacy and Safety of Taxanes Plus Platinum and Fluorouracil Plus Platinum in the First-Line Treatment of Esophageal Cancer: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Fluoropyrimidine plus platinum (FP) and taxanes plus platinum (TP) are standard treatments for esophageal cancer (EC). This systematic review and meta-analysis aim to explore the difference in the therapeutic effect and toxicity of FP and TP regimens in EC patients. PubMed, Embase, and Cochrane were fully searched and analyzed to find relevant articles on EC patients treated with FP and TP regimens up to 22 March 2022. Thirty-one studies, with a total of 3432 participants, were included in this review. The primary outcomes showed that the prognosis and therapeutic efficacy of TP groups were better than those of FP groups for the EC patients treated with definitive chemoradiotherapy treatment (3-year OS: RR: 1.25, 95% CI: 1.08−1.44, p = 0.003; 3-year PFS: RR: 1.43, 95% CI: 1.17−1.75, p = 0.0006; ORR: RR: 1.17, 95% CI: 1.06−1.29, p = 0.001). However, TP therapy was significantly correlated with a higher incidence of leukopenia and thrombocytopenia (p < 0.05). In the preoperative neoadjuvant chemoradiotherapy group, these two groups had a similar survival time (p > 0.05). The FP regimen corresponded to a higher incidence of thrombocytopenia, while the TP regimen was associated with an increased incidence of febrile leukopenia (p < 0.05). Therefore, TP regimens could generate both superior clinical response and survival benefits when compared with FP regimens in EC patients undergoing definitive chemoradiotherapy.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.034 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".