Prognostic Role of Red Distribution Width (RDW) Value in Gastric Cancer

Yüksel, Cemil; Erşen, Ogün; Çulcu, Serdar; Bakırarar, Batuhan; Ünal, Ali Ekrem; Demirci, Salim

doi:10.29271/jcpsp.2021.01.21

Cited by 11 publications

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“…RDW is a widely used laboratory parameter to measure the degree of erythrocyte anisocytosis, which reflects the variability in the size of circulating erythrocytes. 7 There was a signifi-cant difference in RDW values between CG -EG (p = 0.012), CG -MG (p = 0.003). This indicated that patients with acute DVT had an increased RDW value when they first came to the hospital.…”

Section: Discussionmentioning

confidence: 90%

Relationship between First Values of Red Cell Distribution Width, Mean Platelet Volume, Platelet Distribution Width, and Hospital Mortality in Acute Deep Venous Thrombosis

Oğuz

2021

J Coll Physicians Surg Pak

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Section: Discussionmentioning

confidence: 90%

Relationship between First Values of Red Cell Distribution Width, Mean Platelet Volume, Platelet Distribution Width, and Hospital Mortality in Acute Deep Venous Thrombosis

Oğuz

2021

J Coll Physicians Surg Pak

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“…Although the exact reason for the signi cant association of RDW with diagnosis and prognosis is not fully understood, it has been suggested that it may be related to erythropoietin inhibition and the shortened lifespan of red blood cells due to oxidative stress, which are important markers of in ammation (12). Furthermore, there are various research associated to RDW in terms of cancer diagnosis and prognosis (12,(14)(15)(16). However, in this study, an RDW value above 16.1 was found to positively predict the malignant potential of pancreatic cysts with a sensitivity of 93.8%.…”

Section: Discussionmentioning

confidence: 99%

RDW: A New Predictive Indicator in Pancreatic Cystic Neoplasms.

Martlı,

Acehan,

et al. 2024

Preprint

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Background The incidence of pancreatic cystic neoplasms (PCN) is increasing over time. However, identifying between benign and malignant cysts remains difficult. The final diagnosis is always made by postoperative pathology, even with recommendations for cytology and endosonography.This study aimed to investigate the malignancy probability of PCNs using simple clinical and biochemical parameters. Method A retrospective analysis was conducted on 70 patients who underwent surgery for pancreatic cystic neoplasms. Based on postoperative pathology, patients were divided into two groups: Group A, which included those with benign or low-grade dysplasia and Group B which included those with dysplasia malignancy or high-grade dysplasia. A comparison was made between pathology results and clinical and laboratory data. Results Out of the 70 patients, 42 (60%) were in Group A,and 28 (40%) were in Group B. Univariate analysis revealed that age, diabetes mellitus, red cell distribution width (RDW), and albumin were examined as potential predictors of malignancy in pancreatic cystic neoplasms. In the multivariate analysis, age and RDW were established as independent variables. The AUC values of age, RDW, and the combination of age and RDW for malignancy or high-grade dysplasia were 0.798 (95% CI: 0.695-0.900), 0.801 (95% CI: 0.692-0.911), and 0.858 (95% CI: 0.771-0.944), respectively. Conclusion The differentiation between benign and malignant PCN can only be achieved through advanced and specialized investigations. Postoperative pathology is still the most precise means of diagnosis. Age and RDW can be used as additional criteria to select patients for endosonography and cytological evaluation, and to precisely identify patients who might need surgical intervention.

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Section: Discussionmentioning

confidence: 99%

Assessment of Preoperative Malignancy Risk in Pancreatic Cystic Neoplasms through Basic Clinical and Laboratory Parameters

Martlı,

Acehan,

et al. 2023

Preprint

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Background The incidence of pancreatic cystic neoplasms (PCN) is increasing over time. However, differentiating between benign and malignant cysts remains challenging. However, identifying between benign and malignant cysts remains difficult. Despite suggestions from many organisations and research groups calling for endosonography and cytology, postoperative pathology is frequently used to make the final diagnosis. This study aimed to investigate the malignancy probability of PCNs using simple clinical and biochemical parameters. Method A retrospective analysis was conducted on 70 patients who underwent surgery for pancreatic cystic neoplasms. Based on postoperative pathology, patients were divided into two groups: Group A, which included those with malignancy or high-grade dysplasia, and Group B, which included those with benign or low-grade dysplasia. A comparison was made between pathology results and clinical and laboratory data. Results Out of the 70 patients, 42 (60%) were in Group A, and 28 (40%) were in Group B. The mean age was 59.59, and 60% of the patients were male. Univariant analysis (OR 95% CI) revealed that age was 1.095 (1.042–1.150) (p < 0.001), diabetes mellitus was 4.889 (1.710-13.977) (p = 0.003), red cell distribution width (RDW) was 2.240 (1.485–3.380) (p < 0.001), and albumin was 0.914 (0.844–0.989) (p = 0.026). However, in the multivariate analysis, age and RDW were identified as independent variables (OR 95% CI) with values of 1.067 (1.014–1.122) (p = 0.012) and 1.784 (1.172–2.715) (p = 0.007), respectively. Conclusion The differentiation between benign and malignant PCN can only be achieved through advanced and specialized investigations. Postoperative pathology is still the most precise means of diagnosis. Age and RDW were shown to be useful in identifying individuals who may benefit from endosonography and cytology, as well as those who needed surgical intervention.

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Prognostic Role of Red Distribution Width (RDW) Value in Gastric Cancer

Abstract: Objective: To investigate the prognostic effect of red distribution width (RDW) in patients with gastric cancer. Study Design: Observational study.

Cited by 11 publications

References 0 publications

Relationship between First Values of Red Cell Distribution Width, Mean Platelet Volume, Platelet Distribution Width, and Hospital Mortality in Acute Deep Venous Thrombosis

Relationship between First Values of Red Cell Distribution Width, Mean Platelet Volume, Platelet Distribution Width, and Hospital Mortality in Acute Deep Venous Thrombosis

RDW: A New Predictive Indicator in Pancreatic Cystic Neoplasms.

Assessment of Preoperative Malignancy Risk in Pancreatic Cystic Neoplasms through Basic Clinical and Laboratory Parameters

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