Publications by authors named "Fang-Hong Shao"

Overall survival (OS) is considered the standard clinical endpoint to support effectiveness claims in new drug applications globally, particularly for lethal conditions such as cancer. However, the source and reliability of OS in the setting of clinical trials have seldom been doubted and discussed. This study first raised the common issue that data integrity and reliability are doubtful when we collect OS information or other time-to-event endpoints based solely on simple follow-up records by investigators without supporting material, especially since the 2019 COVID-19 pandemic.

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t(6;9)(p22;q34.1)/DEK-NUP214 is a recurrent genetic abnormality that occurs in 1-2% of patients with acute myeloid leukemia (AML), and rarely in myelodysplastic syndrome (MDS). It has been suggested by others that all myeloid neoplasms with t(6;9)/DEK-NUP214 may be considered as AML, even when blast count is <20%.

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To determine whether non-alcoholic fatty liver disease (NAFLD) and intracerebral hemorrhage (ICH) are connected, and assess the role played by NAFLD in ICH development. A retrospective study evaluated inpatients treated at the First Affiliated Hospital of Zhejiang University. We divided the patients into Group A (ICH with NAFLD) and Group B (ICH alone).

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Sleep disturbance is the most prominent symptom in depressive patients and was formerly regarded as a main secondary manifestation of depression. However, many longitudinal studies have identified insomnia as an independent risk factor for the development of emerging or recurrent depression among young, middle-aged and older adults. This bidirectional association between sleep disturbance and depression has created a new perspective that sleep problems are no longer an epiphenomenon of depression but a predictive prodromal symptom.

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Objectives: The objective of this study was to conduct a multicentre evaluation of the performance of the biochip assay in the rapid identification of mycobacteria in smear-positive sputum specimens.

Methods: A total of 1751 sputum specimens were obtained from 7 cities in Zhejiang, China. All of the specimens were used for the discrimination of Mycobacterium species using the biochip assay, and the results were compared to the golden standard method of culture, hsp65, 16S rRNA and rpoB sequence analysis.

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Objective: To analyze the clinical and laboratory features and determine the predictors of acute liver failure (ALF) among inpatients with anti-tuberculosis (TB) drug-induced liver injury (DILI).

Method: Patients diagnosed with anti-TB DILI from 2010 to 2016 at The First Affiliated Hospital of Zhejiang University were retrospectively included in this study. Demographic and clinical data were collected by reviewing electronic medical records.

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Background: Atopic dermatitis (AD) is a chronic or relapsing inflammatory disorder of the skin that frequently precedes asthma and allergic disorders. This study aimed to identify candidate genes related to AD using bioinformatic methods.

Methods: The microarray data of GSE32924, including 12 nonlesional AD (ANL) and 13 lesional AD (AL) skin samples obtained from 14 patients with AD as well as eight other normal human skin samples, was downloaded from the Gene Expression Omnibus database.

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Objective: To evaluate the cost-effectiveness of two breast cancer screening modalities conducted in Minhang district of Shanghai, China.

Methods: An organized and an opportunistic breast screening programs were implemented among women aged 35-74 years in Minhang district of Shanghai between May 2008 and Oct 2010, and were compared with the results obtained without screening. Costs related to screening were obtained by access to finance data of the screening programs, and costs of first treatment were collected through patient survey and medical reimbursement system query.

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The era of personalized medicine for cancer therapeutics has taken an important step forward in making accurate prognoses for individual patients with the adoption of high-throughput microarray technology. However, microarray technology in cancer diagnosis or prognosis has been primarily used for the statistical evaluation of patient populations, and thus excludes inter-individual variability and patient-specific predictions. Here we propose a metric called clinical confidence that serves as a measure of prognostic reliability to facilitate the shift from population-wide to personalized cancer prognosis using microarray-based predictive models.

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High-throughput microarray technology has been widely applied in biological and medical decision-making research during the past decade. However, the diversity of platforms has made it a challenge to re-use and/or integrate datasets generated in different experiments or labs for constructing array-based diagnostic models. Using large toxicogenomics datasets generated using both Affymetrix and Agilent microarray platforms, we carried out a benchmark evaluation of cross-platform consistency in multiple-class prediction using three widely-used machine learning algorithms.

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Constructing an accurate predictive model for clinical decision-making on the basis of a relatively small number of tumor samples with high-dimensional microarray data remains a very challenging problem. The validity of such models has been seriously questioned due to their failure in clinical validation using independent samples. Besides the statistical issues such as selection bias, some studies further implied the probable reason was improper sample selection that did not resemble the genomic space defined by the training population.

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Mutations of the human SLC26A4/PDS gene constitute the most common cause of syndromic and nonsyndromic hearing loss. Definition of the SLC26A4 mutation spectrum among different populations with sensorineural hearing loss is important for development of optimal genetic screening services for congenital hearing impairment. We screened for SLC26A4 mutations among Chinese and U.

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Background: Submicroscopic genomic imbalance underlies well-defined microdeletion and microduplication syndromes and contributes to general developmental disorders such as mental retardation and autism. Array comparative genomic hybridization (CGH) complements routine cytogenetic methods such as karyotyping and fluorescence in situ hybridization (FISH) for the detection of genomic imbalance. Oligonucleotide arrays in particular offer advantages in ease of manufacturing, but standard arrays for single-nucleotide polymorphism genotyping or linkage analysis offer variable coverage in clinically relevant regions.

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