Publications by authors named "Minghong Yao"

Background: Surgical interventions for spontaneous supratentorial intracerebral haemorrhage (ICH) include conventional craniotomy (CC), decompressive craniectomy (DC), and minimally invasive surgery (MIS), with the latter encompassing endoscopic surgery (ES) and minimally invasive puncture surgery (MIPS). However, the superiority of surgery over conservative medical treatment (CMT) and the comparative benefits of different surgical procedures remain unclear. We aimed to evaluate the efficacy and safety of various surgical interventions for treating ICH.

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Article Synopsis
  • * Researchers examined 220 systematic reviews published between December 2017 and December 2022, focusing on different clinical scenarios where NRSIs were justified for inclusion, with adverse outcomes being the most common reason.
  • * Findings revealed that a significant portion of reviews did not assess compatibility before combining evidence types, leading to discrepancies in estimates; 35.5% showed qualitative disagreement and 46.5% indicated important differences between NRSIs and RCTs.
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The angioedema risk may vary among stroke patients receiving different thrombolytic agents. This study aimed to investigate the angioedema risk associated with different thrombolytic agents and to identify associated risk factors. We conducted a large-scale retrospective pharmacovigilance study using the FDA Adverse Event Reporting System (FAERS) database.

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Bayesian meta-analysis is a promising approach for rare events meta-analysis. However, the inference of the overall effect in rare events meta-analysis is sensitive to the choice of prior distribution for the heterogeneity parameter. Therefore, it is crucial to assign a convincing prior specification and ensure that it is both plausible and transparent.

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Background: There is a growing trend to include non-randomised studies of interventions (NRSIs) in rare events meta-analyses of randomised controlled trials (RCTs) to complement the evidence from the latter. An important consideration when combining RCTs and NRSIs is how to address potential bias and down-weighting of NRSIs in the pooled estimates. The aim of this study is to explore the use of a power prior approach in a Bayesian framework for integrating RCTs and NRSIs to assess the effect of rare events.

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Objective: An important consideration when combining RCTs and NRSIs is how to address their potential biases in the pooled estimates. This study aimed to propose a Bayesian bias-adjusted random effects model for the synthesis of evidence from RCTs and NRSIs.

Methods: We present a Bayesian bias-adjusted random effects model based on power prior method, which combines the likelihood contribution of the NRSIs, raised to the power parameter of alpha, with the likelihood of the RCT data, modeled with an additive bias.

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Background: The high recurrence rate after liver resection emphasizes the urgent need for neoadjuvant therapy in hepatocellular carcinoma (HCC) to enhance the overall prognosis for patients. Immune checkpoint inhibitors, camrelizumab combined with an anti-angiogenic tyrosine kinase inhibitor (TKI) apatinib, have emerged as a first-line treatment option for patients with unresectable HCC, yet its neoadjuvant application in combination with transarterial chemoembolization (TACE) in HCC remains unexplored. Therefore, this study aims to investigate the efficacy and safety of sequential TACE, camrelizumab, and apatinib as a neoadjuvant therapy for single, huge HCC.

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Objectives: To analyze the costs and medication patterns of patients with chronic kidney disease (CKD) and comorbidities in Xuzhou, China, using a large electronic medical records database.

Methods: Data were obtained from an electronic medical records database. The annual per-person and per-visit cost of hospitalization, as well as the proportions of those costs, are presented.

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Article Synopsis
  • - Researchers are shifting towards adaptive designs in drug randomized controlled trials (RCTs) to reduce costs and improve efficiency, prompting a study on the characteristics and reporting quality of these trials using the Adaptive designs CONSORT Extension (ACE) checklist.
  • - The study analyzed 108 adaptive trials and found a growing adoption, especially in phase II studies, with reasons for using these designs including quicker trial completion, enhanced decision-making, and smaller sample sizes.
  • - The reporting quality of the trials varied significantly, with adherence to the ACE checklist ranging from 7.4% to 99.1%, highlighting that while some topics were well-reported, many others were lacking.
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The meta-analysis of rare events presents unique methodological challenges owing to the small number of events. Bayesian methods are often used to combine rare events data to inform decision-making, as they can incorporate prior information and handle studies with zero events without the need for continuity corrections. However, the comparative performances of different Bayesian models in pooling rare events data are not well understood.

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There is a growing demand for the use of high-quality real-world evidence (RWE) to support regulatory decision-making worldwide and in China, which highlights the need for conducting literature reviews to evaluate the available data and evidence. This study aims to review the use of RWE in Chinese regulatory decisions and to summarize relevant regulatory and methodological considerations to inform the future use of RWE in China. We identified policy documents, technical guidance documents, and cases on official Chinese government websites and extracted their contents separately.

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  • This study investigates the challenges and methods for assessing treatment effects in observational studies with time-varying treatments, as a systematic framework for this issue has not been established.
  • A comprehensive search of literature from 2000 to 2021 identified various methodological articles, leading to a synthesis of existing approaches and the development of practical recommendations through expert consensus.
  • The findings highlight three key methodological components: specification of treatment scenarios, definition of treatment status, and selection of analytic methods, ultimately proposing a structured workflow to aid researchers in their studies.
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Introduction: Interrupted time series (ITS) design is a commonly used method for evaluating large-scale interventions in clinical practice or public health. However, improperly using this method can lead to biased results.

Objective: To investigate design and statistical analysis characteristics of drug utilization studies using ITS design, and give recommendations for improvements.

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Objective: Alteplase is the current standard of care for acute ischemic stroke. Tenecteplase is a newer fibrinolytic agent with preferable administration and lower costs; however, its comparative effectiveness to alteplase remains uncertain. We set out to perform a systematic review and meta-analysis to establish the benefits and harms of tenecteplase versus alteplase for acute ischemic stroke.

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  • * The paper introduces Deep Partial Graph Matching (dPGM), an end-to-end trainable framework that treats text field labelling as a partial graph matching problem to enhance robustness and performance.
  • * A new dataset called DKIE has been created to support research in one-shot KIE, with experiments indicating that the dPGM framework outperforms existing techniques in both robustness and accuracy.
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Objectives: To investigate the design, conduct, and analysis of adaptive trials through a systematic survey and provide recommendations for future adaptive trials.

Study Design And Setting: We systematically searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov databases up to January 2020.

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  • The study examines the sample size calculation methods in randomized controlled trials (RCTs) that use repeatedly measured continuous variables as their primary outcomes, highlighting discrepancies in current practices.
  • A total of 168 RCTs from 2019 were analyzed, revealing that many trials had inconsistencies between their sample size calculations and primary analysis methods, with only a few considering important factors like repeated measurements and correlations.
  • The findings suggest that statistical approaches for determining sample size often do not match the actual analyses conducted, raising concerns about the validity and reliability of trial results.
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  • This study aims to examine how non-randomised studies of interventions (NRSIs) can be effectively included in meta-analyses of randomised controlled trials (RCTs), given that NRSIs are more prone to bias.
  • Researchers will analyze 210 systematic reviews from 2017 to 2022, comparing evidence between NRSIs and RCTs to evaluate their agreement on effectiveness and to identify factors influencing this agreement.
  • The results will be shared through various channels, including academic publications and conferences, to inform clinicians and policymakers, as no ethics approval is necessary for this research.
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  • Rare events in randomized controlled trials (RCTs) can lead to underpowered studies, but real-world evidence (RWE) from non-randomized studies can supplement this information and guide decision-making.
  • A simulation study evaluated various Bayesian methods for integrating RWE into meta-analyses of rare events in RCTs, assessing their performance based on bias, error, credibility intervals, coverage, and power.
  • Results indicated that the bias-corrected meta-analysis model outperformed other methods and emphasized the importance of including RWE for more reliable assessments of rare event effects.
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Background: Many rare events meta-analyses of randomized controlled trials (RCTs) have lower statistical power, and real-world evidence (RWE) is becoming widely recognized as a valuable source of evidence. The purpose of this study is to investigate methods for including RWE in a rare events meta-analysis of RCTs and the impact on the level of uncertainty around the estimates.

Methods: Four methods for the inclusion of RWE in evidence synthesis were investigated by applying them to two previously published rare events meta-analyses: the naïve data synthesis (NDS), the design-adjusted synthesis (DAS), the use of RWE as prior information (RPI), and the three-level hierarchical models (THMs).

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Background: Stroke is the leading cause of death in China, and predicting the stroke burden could provide essential information guiding the setting of medium- and long-term health policies and priorities. The study aimed to project trends associated with stroke burden in China through 2050, not only in terms of incidence and mortality but also for prevalence and disability-adjusted life years (DALYs).

Methods: Data on stroke rates in incidence, prevalence, deaths, and DALYs in China between 1990 and 2019 were obtained from a recent Global Burden of Disease study.

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Objectives: To examine whether appropriate statistical methods were used in acupuncture randomized controlled trials (RCTs).

Study Design And Setting: We searched PubMed to identify acupuncture RCTs with continuous outcome as primary outcome published in the core clinical journals and complementary and alternative medicine (CAM) journals between January 2010 and December 2019 (10 years). We compared statistical characteristics of included trials published in core clinical journals and CAM journals.

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Danhong injection is widely used for treating ischemic stroke in China. However, its effects on ischemic stroke patients when given along with Western medicines (i.e.

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