The Cumulative Perioperative Model: Predicting 30-Day Mortality in Abdominal Surgery Cancer Patients
The Cumulative Perioperative Model: Predicting 30-Day Mortality in Abdominal Surgery Cancer Patients
Review Data
Purpose and Significance of Study: The model described here enables a continuous cumulative assessment of the patient’s mortality risk, which could be used as a decision support aid regarding patient care and treatment, potentially resulting in improved outcomes, decreased costs and more informed decisions.
Fit with Scope of Journal: The manuscript is of very high interest for the Journal of Surgical Oncology.
o There are a few errors in the manuscript (already corrected in the galley proof, except the highlighted one, which requires the author’s attention). The common ones are –
· “Postoperative” must be written as a single word throughout.
· Omission and overuse of “,” in many places.
o The other errors are listed below –
· In the 3rd sentence of the 2nd paragraph in the Introduction section, “preoperative risk adjusting comorbidity scores” must be replaced with “comorbidity scores adjusting preoperative risk”.
· In the 1st sentence of the paragraph above Figures 3 & 4, “Figures 3 shows” must be replaced with “Figures 3 & 4 show”.
· In the 3rd sentence in the Conclusion section, “time dependent” must be hyphenated.
· Under Conclusion, the heading “Summary Table” seems irrelevant as the material that follows is neither a summary, nor a table.
Christopher M Jermaine
Joseph Ruiz
Joseph L Nates
Risa B Myers
Author Info
Corresponding Author
Joseph L Nates
Department of Critical Care, Division of Anesthesiology and Critical Care, University of Texas MD Anderson Cancer Center, Texas, USA
Article Info
Article Type
Research Article
Publication history
Received: Mon 17, Feb 2020
Accepted: Mon 02, Mar 2020
Published: Tue 10, Mar 2020
Copyright
© 2023 Joseph L Nates . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hosting by Science Repository.
DOI: 10.31487/j.JSO.2020.01.10