Using inflammatory parameters for safe and early discharge after minimally invasive colorectal surgery for colorectal cancer

Neutrophil-lymphocyte ratio, C-reactive protein, and Glasgow Prognostic Score on POD3 can predict postoperative complications in patients who undergoing minimally invasive surgery for colorectal cancer. These inflammatory markers demonstrated high negative predictive value, effectively identifying patients who are unlikely to develop complications and providing valuable information for safe early discharge.

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Publication Details

Journal
Techniques in Coloproctology
Published
2025-04-07
DOI
https://doi.org/10.1007/s10151-025-03134-2
Citations
1
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
1.05
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article

Using inflammatory parameters for safe and early discharge after minimally invasive colorectal surgery for colorectal cancer

Balbino Lino dos Santos, Amjad C. Parvaiz, Laura M. Fernández, Alberto Ignacio Herrando et al.
1 citations
Techniques in Coloproctology
Inflammatory Biomarkers in Disease Prognosis
1.05
article

Using inflammatory parameters for safe and early discharge after minimally invasive colorectal surgery for colorectal cancer

Balbino Lino dos Santos, Amjad C. Parvaiz, Laura M. Fernández, Alberto Ignacio Herrando, José Azevedo, Hugo Domingos, Pedro Vieira, R J Heald, C Beruti
article en
1 citations

Abstract

Neutrophil-lymphocyte ratio, C-reactive protein, and Glasgow Prognostic Score on POD3 can predict postoperative complications in patients who undergoing minimally invasive surgery for colorectal cancer. These inflammatory markers demonstrated high negative predictive value, effectively identifying patients who are unlikely to develop complications and providing valuable information for safe early discharge.

Techniques in ColoproctologyVol. 29(1)
Champalimaud Foundation (PT), University of Lisbon (PT), Hospital Universitario Austral (AR)
Good health and well-being
Openalex Percentile: Top 23%
Inflammatory Biomarkers in Disease Prognosis
1.05
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