Evaluation of the Hamburg-Glasgow Classification in Pancreatic Cancer: Preoperative Staging by Combining Disseminated Tumor Load and Systemic Inflammation

Abdalla, Thaer S. A.; Almanfalouti, Valeria; Effenberger, Katharina E.; Uzunoğlu, Faik G.; Ghadban, Tarik; Duprée, Anna; Izbicki, Jakob R.; Pantel, Klaus; Reeh, Matthias

doi:10.3390/cancers13235942

Cited by 2 publications

(3 citation statements)

References 29 publications

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“…Systemic inflammation plays an important role in cancer progression 28,29 . Here, we provide the first report describing the RA ratio as an independent risk factor of all‐cause mortality in cancer patients with cancer.…”

Section: Discussionmentioning

confidence: 90%

“…Systemic inflammation plays an important role in cancer progression. 28 , 29 Here, we provide the first report describing the RA ratio as an independent risk factor of all‐cause mortality in cancer patients with cancer. RDW is a classical indicator used to evaluate the size of circulating erythrocytes and assess the size variability, mainly in hematological, infectious, and cardiovascular diseases.…”

Section: Discussionmentioning

confidence: 95%

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Red blood cell distribution width‐to‐albumin ratio is associated with all‐cause mortality in cancer patients

Lu¹,

Long

Liu³

et al. 2022

Clinical Laboratory Analysis

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Background: Cancer causes a serious health burden on patients worldwide. Chronic low-level inflammation plays a key role in tumorigenesis and prognosis. However, the role of the red blood cell distribution width (RDW)-to-albumin (RA) ratio in cancer mortality remains unclear. Methods:In this retrospective cohort study, we collected clinical information from cancer patients from the Medical Information Mart for Intensive Care III (MIMIC-III) version 1.4 database and then calculated RA by dividing RDW by albumin concentration. The primary outcome was 30 days mortality, while secondary outcomes were 90 days and 1 year mortality. Next, we adopted Cox regression models to calculate hazard ratios (HR) together with 95% confidence intervals (CI) for all-cause mortalities associated with the RA ratio.Results: For 30 days mortality, the HR (95% CI) for the high RA ratio (≥5.51) was 2.17 [95CI% (1.87-2.51); p = <0.0001], compared with the low RA ratio (<5.51). In Model 2, we adjusted sex and age and obtained HR (95% CI) of 2.17 [95CI% (1.87-2.52); p = <0.0001] for the high RA ratio (≥5.51) group, compared to that in the low RA ratio (<5.51). In Model 3, adjusting for age, sex, anion gap, hematocrit, white blood cell count, congestive heart failure, SOFA, liver disease, and renal failure resulted in HR (95% CI) of 1. ; p = <0.0001] for the high RA ratio (≥5.51) relative to the low RA ratio (<5.51). We also analyzed common diseases in cancer patients but found no significant association. Conclusion:To the best of our knowledge, this is the first study demonstrating that increased RA ratio is independently associated with increased all-cause mortality in cancer patients.

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Section: Discussionmentioning

confidence: 90%

Section: Discussionmentioning

confidence: 95%

Red blood cell distribution width‐to‐albumin ratio is associated with all‐cause mortality in cancer patients

Lu¹,

Long

Liu³

et al. 2022

Clinical Laboratory Analysis

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“…In the pre-operative evaluation of resectability, an accurate study of tumor biology markers is required to correctly stage the disease [168][169][170][171][172].…”

Section: Resectability Statusmentioning

confidence: 99%

Pancreatic Ductal Adenocarcinoma: Update of CT-Based Radiomics Applications in the Pre-Surgical Prediction of the Risk of Post-Operative Fistula, Resectability Status and Prognosis

Pacella,

Brunese,

D’Imperio

et al. 2023

JCM

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Background: Pancreatic ductal adenocarcinoma (PDAC) is the seventh leading cause of cancer-related deaths worldwide. Surgical resection is the main driver to improving survival in resectable tumors, while neoadjuvant treatment based on chemotherapy (and radiotherapy) is the best option-treatment for a non-primally resectable disease. CT-based imaging has a central role in detecting, staging, and managing PDAC. As several authors have proposed radiomics for risk stratification in patients undergoing surgery for PADC, in this narrative review, we have explored the actual fields of interest of radiomics tools in PDAC built on pre-surgical imaging and clinical variables, to obtain more objective and reliable predictors. Methods: The PubMed database was searched for papers published in the English language no earlier than January 2018. Results: We found 301 studies, and 11 satisfied our research criteria. Of those included, four were on resectability status prediction, three on preoperative pancreatic fistula (POPF) prediction, and four on survival prediction. Most of the studies were retrospective. Conclusions: It is possible to conclude that many performing models have been developed to get predictive information in pre-surgical evaluation. However, all the studies were retrospective, lacking further external validation in prospective and multicentric cohorts. Furthermore, the radiomics models and the expression of results should be standardized and automatized to be applicable in clinical practice.

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Evaluation of the Hamburg-Glasgow Classification in Pancreatic Cancer: Preoperative Staging by Combining Disseminated Tumor Load and Systemic Inflammation

Cited by 2 publications

References 29 publications

Red blood cell distribution width‐to‐albumin ratio is associated with all‐cause mortality in cancer patients

Red blood cell distribution width‐to‐albumin ratio is associated with all‐cause mortality in cancer patients

Pancreatic Ductal Adenocarcinoma: Update of CT-Based Radiomics Applications in the Pre-Surgical Prediction of the Risk of Post-Operative Fistula, Resectability Status and Prognosis

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