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Background: The risk of first recurrence of hepatocellular carcinoma (HCC) within years 5 to 10 after curative hepatectomy remains unknown. We aimed to assess the incidence and prognostic factors for very late recurrence among patients who achieved 5 years’ recurrence-free survival (RFS) after primary resection. Methods: We retrospectively analyzed 337 patients with early-stage HCC underwent primary tumor resection and achieved more than 5 years’ RFS. Results: A total of 77 patients (22.8%) developed very late recurrence. The cumulative very late recurrence rate increased from 6.9% and 11.7% to 16.6% at 6, 7, and 8 years, respectively. Patients stopped smoking had a higher rate of very late RFS. Conclusions: The high rates of very late recurrence in HCC indicate that patients warrant continued surveillance, even after 5 recurrence-free years. Moreover, smoking is a risk factor for very late HCC recurrence, and quitting smoking may reduce the risk of very late recurrence.

Abstract Introduction High-dose dual therapy (HDDT) can attain acceptable eradication rates provided that the optimal doses, timing and treatment duration are applied. The existing evidence still shows inconsistent reports ( 90% eradication rates for first-line H. pylori eradication as 14-day rabeprazole-containing HT did. HDDT is a potentially beneficial combination, which involves only two drugs with mild adverse effects; more precise studies are urged to find answers regarding these failures. This clinical trial was registered retrospectively on 28 November, 2021, as ClinicalTrials.gov identifier: NCT05152004.

Background: Data describing the risk factors for the occurrence of severe infections in acute lymphoblastic leukemia (ALL) patients following induction chemotherapy and the role of prophylactic granulocyte-colony stimulating factor (G-CSF) in the era of antimicrobials prophylaxis are limited. Methods: This study enrolled 188 children aged ≤18 years with newly diagnosed ALL who received Taiwan Pediatric Oncology Group ALL-2002 and 2013 treatments between January 1, 2010 and June 30, 2021. Prophylactic G-CSF was administered when a patient continues neutropenia after achieving the first bone marrow remission since June 1, 2015. Clinical factors were assessed for their association with severe infections. Results: From January 2010 to May 2015, 80 children experienced a total of 11 (13.5%) episodes of severe infections; while 10 (9.2%) episodes were reported to occur in 108 patients who received prophylactic G-CSF. Reduction of severe infections occurrence did not achieve statistical significance during prophylactic G-CSF administration in ALL patients. Compared with ALL-high risk (HR) and very high risk patients with no G-CSF prophylaxis, the use of G-CSF prophylaxis significantly reduced episodes of febrile neutropenia. Occurrence of grade III-IV intestinal ileus, grade II-III oral mucositis, prolonged neutropenia, central venous catheter (CVC) placement, or the requirement insulin therapy for hyperglycemia were associated with higher risk of bloodstream infections. Conclusions: ALL-HR patients with G-CSF prophylaxis were associated with reduction of febrile neutropenia episodes. Occurrence of severe ileus, oral mucositis, hyperglycemia, CVC placement, or prolonged neutropenia were associated with severe infections in ALL patients receiving induction chemotherapy.

Quantum logic gates differ from classical logic gates as the former involves quantum operators. The conventional gates such as AND, OR, NOT etc., are generally classified as classical gates, however, some of the quantum gates are known as Pauli gates, Toffoli gates and Hadamard gates, respectively. Normally classical states only involve 0 and 1, whereas quantum states involve the superpositions of 0 and 1. Hence, underlying principles of algorithm implementation for classical logic gate and quantum logic gate are indeed different. In this paper, we introduce significant concepts of quantum computations, analyse the discrepancy between classical and quantum gates, compare quantum algorithms using Qiskit against equivalent classical algorithms and analyse their performance in terms of runtime.