Article Text
Abstract
Accurately explaining perioperative mortality and risk to patients is an essential part of shared decision making. In the case of lung cancer surgery, the currently available multivariable mortality prediction tools perform poorly, and could mislead patients. Using data from 2004 to 2012, this group has previously produced data tables for 90-day postoperative mortality, to be used as a communication aid in the consenting process. Using National Lung Cancer Clinical Outcomes audit data from 2017 to 2018, we have produced updated early mortality tables, to reflect current thoracic surgery practice.
- Lung Cancer
- Thoracic Surgery
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Footnotes
Contributors HM was involved in study design, performed the majority of data processing and analysis and drafted the article. The original idea was from DB, RH and ELO'D, who also contributed to design of the study and interpretation of the data. All authors were involved in revising the manuscript and approved its submission.
Funding This study was funded by Roy Castle Lung Cancer Foundation (RB48HD).
Competing interests HM has nothing to disclose. DRB reports grants from Cancer Research UK, personal fees from Roche, personal fees from Astra Zeneca, personal fees from MSD, personal fees from BMS, outside the submitted work. RH reports personal fees from Galapagos, outside the submitted work. NN is supported by an MRC Clinical Academic Research Partnership (MR/T02481X/1). NN has received fees or non-financial support fromAmgen, Astra Zeneca, Bristol-Meyers Squibb, Lilly & Co, Merck Sharp and Dohme, Olympus,Oncimmune, OncLive, PeerVoice, Pfizer and Takeda, outside of the submitted work. DWreports grants from Medtronic, personal fees from Astra Zeneca UK, and is a salariedemployee of the NHS England Improvement GIRFT programme. ELO'D has nothing to disclose.
Provenance and peer review Not commissioned; externally peer reviewed.
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