Publications by authors named "Youqi Yang"

Single-cell RNA sequencing (scRNA-seq) data from complex human tissues have prevalent blood cell contamination during the sample preparation process. They may also comprise cells of different genetic makeups. We propose a new computational framework, Originator, which deciphers single cells by genetic origin and separates immune cells of blood contamination from those of expected tissue-resident cells.

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This study examines how pandemic-related worries affected mental health in India's adults from 2020 to 2022. Using data from the Global COVID-19 Trends and Impact Survey (N = 2,576,174), it explores the associations between worry variables (financial stress, food insecurity, and COVID-19-related health worries) and self-reported symptoms of depression and anxiety. Our analysis, based on complete cases (N = 747,996), used survey-weighted models, adjusting for demographics and calendar time.

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Article Synopsis
  • The text indicates that there is a correction to a previously published article.
  • The article in question is identified by its DOI (Digital Object Identifier) number, which is 10.1371/journal.pgph.0002601.
  • This correction likely addresses errors or updates related to the research findings or content of the original article.
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Selection bias poses a substantial challenge to valid statistical inference in nonprobability samples. This study compared estimates of the first-dose COVID-19 vaccination rates among Indian adults in 2021 from a large nonprobability sample, the COVID-19 Trends and Impact Survey (CTIS), and a small probability survey, the Center for Voting Options and Trends in Election Research (CVoter), against national benchmark data from the COVID Vaccine Intelligence Network. Notably, CTIS exhibits a larger estimation error on average (0.

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Single-cell RNA sequencing (scRNA-Seq) data from complex human tissues have prevalent blood cell contamination during the sample preparation process. They may also comprise cells of different genetic makeups. These issues demand rigorous preprocessing and filtering prior to the downstream functional analysis, to avoid biased conclusions due to cell types not of interest.

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Article Synopsis
  • * Existing literature emphasizes the need for improved real-time health data linkages and the importance of international data interoperability to better respond to future health crises.
  • * The review calls for greater investment in team science, public trust in scientific methods, and policy processes, particularly advocating for broader participation in clinical trials in low- and middle-income countries.
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Purpose: To explore the prognostic impact of waiting time for radiotherapy (RT) after induction chemotherapy (IC) for nasopharyngeal carcinoma (NPC).

Methods And Materials: A total of 648 NPC patients receiving IC between 2009 and 2011 were included. Propensity score matching (PSM) was performed to balance the variables.

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Background: Neoadjuvant chemotherapy (NACT) treatment in locoregionally advanced nasopharyngeal carcinoma (LA-NPC) can lead to considerable toxicity. Loss of skeletal muscle mass showed relevance with increased chemotherapy-related toxicity and poor survival in various cancer types, but its significance in NPC remains unclear. This study aimed to investigate the relationship between body composition parameters and the incidence of NACT toxicity in LA-NPC patients.

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Introduction: 2019 novel coronavirus disease (COVID-19) outbreaks have been occurring in China and other countries in the world. To prevent further spread of the disease, restrictions of population flow from the government and measures to reduce virus transmission from hospitals may lead to the delay of diagnosis and treatment in patients with nasopharyngeal carcinoma (NPC).

Methods: All NPC patients with radiotherapy indications were included from 20 weekdays before (group A) and after (group B) January 31, 2020, when the institute began to take measures against COVID-19.

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Purpose: Quantitative lymph node burden has been demonstrated to be a critical prognosticator in various malignancies, yet it was seldom explored in nasopharyngeal carcinoma (NPC). This study aimed to investigate the impact of the number of metastatic lymph node regions (LRN) on prognosis of NPC and to establish a new N classification system based on LRN.

Methods And Materials: The magnetic resonance images (MRI) of 354 nondisseminated NPC patients before radical treatment were retrospectively evaluated.

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To investigate the inter-correlation of tumor spread, volume and quantitative plasma Epstein-Barr virus DNA level (pEBV DNA), and to further assess the prognostic efficacy of a novel risk stratification combining anatomic, volumetric and biological features in nasopharyngeal carcinoma (NPC). One hundred and twelve patients with non-metastatic NPC were prospectively enrolled. Correlation of pEBV DNA with tumor invasiveness, lymph node (LN) metastasis, tumor volume and classification was tested by univariate and multivariate analyses.

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This study was to report the long-term outcomes and toxicities of nasopharyngeal carcinoma (NPC) treated with intensity-modulated radiation therapy (IMRT). From 2009 to 2010, 869 non-metastatic NPC patients treated with IMRT were retrospectively enrolled. With a median follow-up of 54.

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