2020
DOI: 10.7759/cureus.7237
|View full text |Cite
|
Sign up to set email alerts
|

Can Neutrophil-to-Lymphocyte or Platelet-to-Lymphocyte Ratio Be Used to Predict Postoperative Nausea and Vomiting in Breast Reduction?

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
20
2
1

Year Published

2021
2021
2023
2023

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(23 citation statements)
references
References 20 publications
0
20
2
1
Order By: Relevance
“…While the cut-off values determined for NLR in predicting PONV in previous studies were generally around 2 [1,2,21], this value was found to be 3.01 in the preoperative period and 7.13 in the postoperative period in our study. This difference may be related to the stress response of the patients and the inflammatory response to chest tube application in pneumothorax cases.…”
Section: Discussioncontrasting
confidence: 70%
See 4 more Smart Citations
“…While the cut-off values determined for NLR in predicting PONV in previous studies were generally around 2 [1,2,21], this value was found to be 3.01 in the preoperative period and 7.13 in the postoperative period in our study. This difference may be related to the stress response of the patients and the inflammatory response to chest tube application in pneumothorax cases.…”
Section: Discussioncontrasting
confidence: 70%
“…The confounder effect was controlled using the Propensity Score Matching (PSM) analysis in order to distribute the case-control groups similarly in terms of statistical comparisons. Prior to the study, the confounder between the case-control groups was matched in terms of the continuous variables, age, gender, body mass index (BMI), ASA scores, smoking, and additional diseases [ 1 ]. Propensity scores were predicted using the combined estimator (ensemble learning: a combination of logistic regression and machine learning algorithms) developed by Demir et al (2019) [ 15 ].…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations