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1.
Oncol Rev ; 12(2): 370, 2018 Jul 04.
Article in English | MEDLINE | ID: mdl-30344961

ABSTRACT

Presentation of pancreatic cancer is localized, locally advanced or metastatic. With the later represented the main bulk (more than 80%). Despite the significant innovation in molecular analysis and therapeutic approach in many types of cancer in the last two decades, still the outcome of advanced pancreatic cancer is disappointing and the mortality rate approximately unchanged. In this mandated review we intended to highlight the standard of care and emerging agents for advanced pancreatic cancer treatment.

2.
Oncol Rev ; 12(2): 397, 2018 Jul 04.
Article in English | MEDLINE | ID: mdl-30607219

ABSTRACT

Myelodysplastic syndromes (MDS), called ineffective hematopoiesis is indicated by bone marrow failure and tendency to acute myeloid leukemia transformation. Since the disease is more common in elderly with non- hematology co-morbidities, the research for less toxic and curative novel agents is essential. More than 12 years without new Food and Drug Administration approved drugs in MDS management through the whole course, only 5 drugs. We summarized the basic data in diagnosis, treatment guidelines and future direction.

3.
Am J Hosp Palliat Care ; 30(7): 707-11, 2013 Nov.
Article in English | MEDLINE | ID: mdl-23271407

ABSTRACT

The prediction of in-hospital mortality may help in improving end-of-life care for patients dying of cancer. The Chuang Prognostic Score (CPS) was developed to predict survival of terminally ill patients with cancer. The CPS was assessed in 61 hospitalized adult patients with advanced cancer. Using a CPS cutoff point of ≥6, in-hospital mortality was predicted with 71% positive predictive value, 91% negative predictive value, 75% sensitivity, 89% specificity, and 85% overall accuracy. The patients were divided according to the CPS score into 3 groups (Group 1: CPS < 3.5, Group 2: CPS ≥ 3.5-<6, and Group 3: CPS ≥ 6) with a median survival of not reached, 118 days, and 16 days, respectively (P < .001). The CPS may be useful in predicting in-hospital mortality of hospitalized patients with advanced cancer.


Subject(s)
Hospital Mortality , Palliative Care , Humans , Neoplasms , Prognosis , Survival Analysis
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