Teacher:In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return "True" if title is proper according to paragraph else "False".
Teacher: Now, understand the problem? Solve this instance: Paragraph: All cases were confirmed by real-time RT-PCR or chest computer tomography (CT). The survivors were followed up until March 4,2020. Clinical data, including demographic characteristic, presentation, underlying illness, exposure history, laboratory examination, radiology and prognosis were enrolled and analyzed by SPSS 19.0 software. Results There were 197 adult discharged patients with COVID-19 in this study. Statistical analysis indicated that the average age was 55.94 years, and female patients were 99(50.3%).Those patients mainly resided in urban with exposure history in 2 weeks, while 7 medical staffs were infected. Fever (77.6%%), cough (43.6%) and weakness (14.7%) were the common symptoms. Leukocytes were mainly normal or decreased in 185 patients (92.9%), both lymphocytes and eosinophils were below normal range, the ratios were 56.9% and 50.3%, respectively. On the contrary, lactate dehydrogenases raised in 65 patients. C-reactive protein (72.4%) elevated in the most of patients. The sensitivity of RT-PCR was 63.5%. Chest CT indicated that bilateral patchy shadows (69.0%) were the most common imaging manifestations.169(85.8%) patients recovered and transferred to a designated hospital for observation, and the others (14.2%) turned worst and died of acute respiratory failure. Conclusion COVID-19 infection with highly contagious have become a life-threaten public healthy problem, the sensitivity of RT-PCR was limited. Chest CT scan was recommended for the suspected patients. Furthermore, lymphocytopenia and eosinophils declining without leukocytes increasing may be considered as a useful evidence for the diagnosis.
Title: Clinical features and outcomes of 197 adult discharged patients with COVID-19 in Yichang, Hubei
Student:
False