Online tools to predict individualised survival for primary oesophageal cancer patients with and without pathological complete response after neoadjuvant therapy followed by oesophagectomy: development and external validation of two independent nomograms.
Yuqin CaoBinhao HuangHan TangDong DongTianzheng ShenXiang ChenXijia FengJiahao ZhangLiqiang ShiChengqiang LiHeng JiaoLijie TanJie ZhangHecheng LiYajie ZhangPublished in: BMJ open gastroenterology (2024)
The web-based dynamic nomograms for pCR (https://predict-survival.shinyapps.io/pCR-eso/) and non-pCR patients (https://predict-survival.shinyapps.io/non-pCR-eso/) developed in this study can facilitate the calculation of OS probability for individual patients undergoing neoadjuvant therapy and radical oesophagectomy, aiding clinicians and patients in making personalised treatment decisions.
Keyphrases
- end stage renal disease
- ejection fraction
- patients undergoing
- chronic kidney disease
- newly diagnosed
- prognostic factors
- rectal cancer
- squamous cell carcinoma
- healthcare
- peritoneal dialysis
- palliative care
- stem cells
- locally advanced
- social media
- free survival
- patient reported outcomes
- papillary thyroid
- patient reported