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Jin P, Jin X, He L, Liu W, Zhan Z. The casual relationship between autoimmune diseases and multiple myeloma: a Mendelian randomization study. Clin Exp Med 2024; 24:65. [PMID: 38564026 PMCID: PMC10987346 DOI: 10.1007/s10238-024-01327-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 03/07/2024] [Indexed: 04/04/2024]
Abstract
Observational studies showed possible associations between systemic lupus erythematosus and multiple myeloma. However, whether there is a casual relationship between different types of autoimmune diseases (type 1 diabetes mellitus, rheumatoid arthritis, systemic lupus erythematosus, psoriasis, multiple sclerosis, primary sclerosing cholangitis, primary biliary cirrhosis, and juvenile idiopathic arthritis) and multiple myeloma (MM) is not well known. We performed a two-sample Mendelian randomization (MR) study to estimate the casual relationship. Summary-level data of autoimmune diseases were gained from published genome-wide association studies while data of MM was obtained from UKBiobank. The Inverse-Variance Weighted (IVW) method was used as the primary analysis method to interpret the study results, with MR-Egger and weighted median as complementary methods of analysis. There is causal relationship between primary sclerosing cholangitis [OR = 1.00015, 95% CI 1.000048-1.000254, P = 0.004] and MM. Nevertheless, no similar causal relationship was found between the remaining seven autoimmune diseases and MM. Considering the important role of age at recruitment and body mass index (BMI) in MM, we excluded these relevant instrument variables, and similar results were obtained. The accuracy and robustness of these findings were confirmed by sensitivity tests. Overall, MR analysis suggests that genetic liability to primary sclerosing cholangitis could be causally related to the increasing risk of MM. This finding may serve as a guide for clinical attention to patients with autoimmune diseases and their early screening for MM.
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Affiliation(s)
- Peipei Jin
- Second School of Clinical Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Xiaoqing Jin
- Emergency Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Li He
- Department of Hematology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuhan, 430071, Hubei, China.
| | - Wen Liu
- Second School of Clinical Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Zhuo Zhan
- Second School of Clinical Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
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Yang Q, Yang Z, Cai X, Zhao H, Jia J, Sun F. Advances in methodologies of negative controls: a scoping review. J Clin Epidemiol 2024; 166:111228. [PMID: 38040387 DOI: 10.1016/j.jclinepi.2023.111228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 11/25/2023] [Accepted: 11/27/2023] [Indexed: 12/03/2023]
Abstract
OBJECTIVES Negative controls are considered an important tool to mitigate biases in observational studies. The aim of this scoping review was to summarize current methodologies of negative controls (both negative control exposure [NCE] and negative control outcome [NCO]). STUDY DESIGN AND SETTING We searched PubMed, Web of Science, Embase, and Cochrane Library (up to March 9, 2023) for articles on methodologies of negative controls. Two reviewers selected eligible studies and collected relevant data independently and in duplicate. We reported total numbers and percentages, and summarized methodologies narratively. RESULTS A total of 37 relevant methodological articles were included in our review. These publications covered NCE (n = 11, 29.8%), NCO (n = 13, 35.1%), or both (n = 13, 35.1%), with most focused on bias detection (n = 14, 37.8%), bias correction (n = 16, 43.3%), and P value or confidence interval (CI) calibration (n = 5, 13.5%). For the two remaining articles (5.4%), one discussed bias detection and P value or CI calibration and the other covered all the three functions. For bias detection, the existence of an association between the NCE (NCO) and outcome (exposure) variables of interest simply indicates that results may suffer from confounding bias, selection bias and/or information bias. For bias correction, however, the algorithms of negative control methods need more stringent assumptions such as rank preservation, monotonicity, and linearity. CONCLUSION Negative controls can be leveraged for bias detection, P value or CI calibration, and bias correction, among which bias correction has been the most studied methodologically. The current available methods need some stringent assumptions to detect or remove bias. More methodological research is needed to optimize the use of negative controls.
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Affiliation(s)
- Qingqing Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zhirong Yang
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Xianming Cai
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Houyu Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jinzhu Jia
- Department of Biostatistics, School of Public Health, Peking University, Beijing, China; Center for Statistical Science, Peking University, Beijing, China.
| | - Feng Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Key Laboratory of Epidemiology of Major Diseases, Peking University, Beijing, China.
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Huang X, Tao Z, Ngan P, Qin D, He H, Hua F. THE USE OF DENTAL PATIENT-REPORTED OUTCOMES AMONG COMPARATIVE OBSERVATIONAL STUDIES IN ORTHODONTICS: A METHODOLOGICAL STUDY. J Evid Based Dent Pract 2024; 24:101956. [PMID: 38401953 DOI: 10.1016/j.jebdp.2023.101956] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 10/19/2023] [Accepted: 11/07/2023] [Indexed: 02/26/2024]
Abstract
OBJECTIVE To identify and summarize the presence and characteristics of dental patient-reported outcomes (dPROs) and dental patient-reported outcome measures (dPROMs) within comparative observational studies published in 5 leading orthodontic journals. METHODS Electronic searching was performed to identify intervention (therapeutic or preventive) related comparative observational studies published in selected journals between 2015 and 2021. Two authors extracted the characteristics of each included study independently and in duplicate and summarized the dPROs and dPROMs used in these studies. All dPROs were classified into 2 general types (oral health-related quality of life [OHRQoL] and others), while dPROMs were divided into 3 categories (single-item questionnaires, generic multiple-item questionnaires, and specific multiple-item questionnaires). In addition, dPROMs were examined, if they evaluated the 4 dimensions of OHRQoL (oral function, orofacial pain, orofacial appearance, and psychosocial impact). RESULTS A total of 683 observational studies were eligible and included of which 117 (17.1%) used dPROs and dPROMs. Seven different dPROs (OHRQoL, patients' satisfaction with treatment, preferences, concerns, compliance, duration, and unwanted events) and 33 different dPROMs (including 8 single-item questionnaires, 11 generic multiple-item questionnaires, and 14 specific multiple-item questionnaires) were identified in these studies. OHRQoL was the most commonly used dPRO (92/117, 78.6%), while Oral Health Impact Profile 14 (OHIP-14) was the most frequently used dPROM (20/92, 21.7%). In terms of study design, cross-sectional studies had the highest proportion of dPRO usage (62/148, 41.9%), followed by cohort studies (63/505, 12.5%) and case-control studies (1/30, 3.3%). CONCLUSIONS Only one-sixth of comparative observational studies published in leading orthodontic journals could reflect patients' perspectives. Observational studies in orthodontics need to provide more patient-important information through the use of dPROs and dPROMs.
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Affiliation(s)
- Xinliang Huang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China; Department of Orthodontics, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Zhendong Tao
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China; Department of Orthodontics, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Peter Ngan
- Department of Orthodontics, School of Dentistry, West Virginia University, Morgantown, WV, USA
| | - Danchen Qin
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China; Department of Orthodontics, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Hong He
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China; Department of Orthodontics, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Fang Hua
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China; Department of Orthodontics, School & Hospital of Stomatology, Wuhan University, Wuhan, China; Center for Evidence-Based Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China; Center for Orthodontics and Pediatric Dentistry at Optics Valley Branch, School & Hospital of Stomatology, Wuhan University, Wuhan, China; Division of Dentistry, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
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Zhong S, Yang W, Zhang Z, Xie Y, Pan L, Ren J, Ren F, Li Y, Xie H, Chen H, Deng D, Lu J, Li H, Wu B, Chen Y, Peng F, Puduvalli VK, Sai K, Li Y, Cheng Y, Mou Y. Association between viral infections and glioma risk: a two-sample bidirectional Mendelian randomization analysis. BMC Med 2023; 21:487. [PMID: 38053181 PMCID: PMC10698979 DOI: 10.1186/s12916-023-03142-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 10/30/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Glioma is one of the leading types of brain tumor, but few etiologic factors of primary glioma have been identified. Previous observational research has shown an association between viral infection and glioma risk. In this study, we used Mendelian randomization (MR) analysis to explore the direction and magnitude of the causal relationship between viral infection and glioma. METHODS We conducted a two-sample bidirectional MR analysis using genome-wide association study (GWAS) data. Summary statistics data of glioma were collected from the largest meta-analysis GWAS, involving 12,488 cases and 18,169 controls. Single-nucleotide polymorphisms (SNPs) associated with exposures were used as instrumental variables to estimate the causal relationship between glioma and twelve types of viral infections from corresponding GWAS data. In addition, sensitivity analyses were performed. RESULTS After correcting for multiple tests and sensitivity analysis, we detected that genetically predicted herpes zoster (caused by Varicella zoster virus (VZV) infection) significantly decreased risk of low-grade glioma (LGG) development (OR = 0.85, 95% CI: 0.76-0.96, P = 0.01, FDR = 0.04). No causal effects of the other eleven viral infections on glioma and reverse causality were detected. CONCLUSIONS This is one of the first and largest studies in this field. We show robust evidence supporting that genetically predicted herpes zoster caused by VZV infection reduces risk of LGG. The findings of our research advance understanding of the etiology of glioma.
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Affiliation(s)
- Sheng Zhong
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Wenzhuo Yang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Zhiyun Zhang
- Department of Plastic Surgery, The First Hospital of Jilin University, Changchun, 130000, People's Republic of China
| | - Yangyiran Xie
- Vanderbilt University School of Medicine, Vanderbilt University, 1161 21St Ave S # D3300, Nashville, TN, 37232, USA
| | - Lin Pan
- Clinical College, Jilin University, Street Xinmin 828, Changchun, People's Republic of China
| | - Jiaxin Ren
- Stroke Center, Department of Neurology, The First Hospital of Jilin University, Chang Chun, People's Republic of China
| | - Fei Ren
- Clinical College, Jilin University, Street Xinmin 828, Changchun, People's Republic of China
| | - Yifan Li
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Haoqun Xie
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Hongyu Chen
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Davy Deng
- Dana Farber Cancer Institute, 450 Brookline Ave, Boston, MA, 02215, USA
| | - Jie Lu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Hui Li
- Stroke Center, Department of Neurology, The First Hospital of Jilin University, Chang Chun, People's Republic of China
| | - Bo Wu
- Department of Orthopaedics, The First Hospital of Jilin University, No.71, Street Xinmin Road, Chaoyang District, Changchun, Jilin, People's Republic of China
| | - Youqi Chen
- Clinical College, Jilin University, Street Xinmin 828, Changchun, People's Republic of China
| | - Fei Peng
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Baylor College of Medicine, Houston, TX, USA
| | - Vinay K Puduvalli
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Ke Sai
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
| | - Yunqian Li
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun, People's Republic of China.
| | - Ye Cheng
- Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China.
| | - Yonggao Mou
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, People's Republic of China.
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5
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Chen S, Zhang W, Zheng Z, Shao X, Yang P, Yang X, Nan K. Unraveling genetic causality between type 2 diabetes and pulmonary tuberculosis on the basis of Mendelian randomization. Diabetol Metab Syndr 2023; 15:228. [PMID: 37950319 PMCID: PMC10636918 DOI: 10.1186/s13098-023-01213-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 11/05/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND The comorbidity rate between type 2 diabetes mellitus (T2DM) and pulmonary tuberculosis (PTB) is high and imposes enormous strains on healthcare systems. However, whether T2DM is causally associated with PTB is unknown owing to limited evidence from prospective studies. Consequently, the present study aimed to clarify the genetic causality between T2DM and PTB on the basis of Mendelian randomization (MR) analysis. METHODS Genetic variants for T2DM and PTB were obtained from the IEU OpenGWAS project. The inverse variance weighted method was used as the main statistical analysis method and was supplemented with MR-Egger, weighted median, simple mode, and weighted mode methods. Heterogeneity was analyzed using Cochran's Q statistic. Horizontal pleiotropy was assessed using the MR-PRESSO global test and MR-Egger regression. Robustness of the results was verified using the leave-one-out method. RESULTS A total of 152 independent single-nucleotide polymorphisms (SNPs) were selected as instrumental variables (IVs) to assess the genetic causality between T2DM and PTB. Patients with T2DM had a higher risk of PTB at the genetic level (odds ratio (OR) for MR-Egger was 1.550, OR for weighted median was 1.540, OR for inverse variance weighted was 1.191, OR for simple mode was 1.629, OR for weighted mode was 1.529). There was no horizontal pleiotropy or heterogeneity among IVs. The results were stable when removing the SNPs one by one. CONCLUSIONS This is the first comprehensive MR analysis that revealed the genetic causality between T2DM and PTB in the East Asian population. The study provides convincing evidence that individuals with T2DM have a higher risk of developing PTB at the genetic level. This offers a significant basis for joint management of concurrent T2DM and PTB in clinical practice.
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Affiliation(s)
- Shengnan Chen
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shaanxi, People's Republic of China
- Medical Department of Xi'an Jiaotong University, Xi'an, 710048, Shaanxi, China
| | - Weisong Zhang
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Zhenquan Zheng
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Xiaolong Shao
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Peng Yang
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Xiaobin Yang
- Hongdong County Hospital of Traditional Chinese Medicine, Hongdong, 041600, Shaanxi, China
| | - Kai Nan
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shaanxi, People's Republic of China.
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Chinthala R, Baghel AS, Shubhangi K, Bhagavathi NNL. A case-control study for exploring the association of Prakriti with Rheumatoid Arthritis. J Ayurveda Integr Med 2023; 14:100789. [PMID: 37703672 PMCID: PMC10505973 DOI: 10.1016/j.jaim.2023.100789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 07/11/2023] [Accepted: 07/22/2023] [Indexed: 09/15/2023] Open
Abstract
BACKGROUND Deha-Prakriti (DP) is a unique contribution of Ayurveda, which distinguishes the population into three main groups viz., Vata, Pitta, and Kapha predominant individuals. Its assessment helps physicians to prescribe a suitable diet, daily regimen, and lifestyle that prevents non-communicable diseases. Amavata (Rheumatoid Arthritis) is a disease that needs personalized management approach. AIM To evaluate the association of DP with Amavata (∼Rheumatoid Arthritis). OBJECTIVE To evaluate DP-based susceptibility in the manifestation of Amavata vis-à-vis Rheumatoid Arthritis. METHODOLOGY A case-control study was conducted from 18.04.2018 to 09.01.2020, involving 150 cases (patients of Amavata), and 150 controls (healthy volunteers), matching in age (between 18 to 50 years), and sex, selected from Jamnagar. CCRAS-PAS for both the groups, Health Assessment proforma of TRISUTRA project CSIR-AYURGENOMICS, were used. Logistic regression analyses were conducted to determine the relationship between DP and Amavata. RESULTS The proportion of people with Vata dosha in the case group (53.79%) was substantially higher (P < 0.0001) than in the control group (24.91%). Pitta (39.35%) and Kapha (36.27%) doshas were found to be more prevalent in the control group (P < 0.0001). There was a six-percent rise in the likelihood of developing Amavata with every unit increase in Vata percentage, according to logistic regression analysis. CONCLUSION Vata predominant DP has a significant association with Amavata. Vata predominant DP individuals are more susceptible to Amavata than Pitta and Kapha predominant DP individuals.
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Affiliation(s)
- Rajkumar Chinthala
- Department of Samhita & Siddhanta, TTD's SV Ayurvedic College, A Constituent Educational Institute of Tirumala Tirupathi Devasthanams, Tirupathi, Andhra Pradesh, 517507, India.
| | - Arjun Singh Baghel
- Department of Basic Principles, Institute of Teaching and Research in Ayurveda, Jamnagar, 361008, India.
| | - Kamble Shubhangi
- Department of Basic Principles, Institute of Teaching and Research in Ayurveda, Jamnagar, 361008, India.
| | - N N L Bhagavathi
- TSWRDCW (Telangana Social Welfare Residential Degree Colleges for Women), Warangal (East), Rangashaipet, Telangana, 506005, India.
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Liang J, He P, Wu H, Xu X, Ji C. Characteristics of Depression Clinical Trials Registered on ClinicalTrials.gov. Int J Gen Med 2022; 15:8787-8796. [PMID: 36601647 PMCID: PMC9807170 DOI: 10.2147/ijgm.s394143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 12/19/2022] [Indexed: 12/29/2022] Open
Abstract
Background Mental disorders are among the leading causes of the global health-related burden, and depression is one of the most disabling mental disorders. The emergence of the COVID-19 pandemic has created an environment where many determinants of mental health are exacerbated. Many studies have been registered and conducted over the past 16 years, but how to choose the proper design for depression clinical trials remains the main concern. This study aimed to characterize the current status of global depression clinical trials registered on ClinicalTrials.gov. Methods We examined all the trials registered on ClinicalTrials.gov from 2007 to 2021. Results Overall, 7623 depression clinical trials were identified for analysis. Of those trials, 6402 (83.98%) were intervention trials and 1212 (15.90%) were observational trials. The majority of intervention types were behavioral (35.2%) and drug (28.55%), with very few procedures, dietary supplements, and diagnostic test studies. In addition, 55.53% of trials enrolled <100 participants. The proportions of trials registered in North America were higher than on other continents. Furthermore, the trials that involved only females (12.6%) were more than only males (0.87%) from 2019 to 2021. Conclusion Depression clinical trials registered on ClinicalTrials.gov were dominated by small sample size trials, and there is a lack of trials related to COVID-19. The choice of study design is crucial, and properly designed trials can help improve study efficiency and reduce the likelihood of study failure. Given the increased number of RCT trials, the trial quality is gradually improving over the years. In addition, depression trials concentrating on children and older adults need more scientific attention. Further studies related to COVID-19 are needed, given the great damage that causes to people's physical and mental health.
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Affiliation(s)
- Juan Liang
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, People’s Republic of China
| | - Peijie He
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, People’s Republic of China
| | - Hanting Wu
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, People’s Republic of China
| | - Xiujuan Xu
- Tongde Hospital of Zhejiang Province, Hangzhou, 310012, People’s Republic of China
| | - Conghua Ji
- School of Public Health, Zhejiang Chinese Medical University, Hangzhou, 310053, People’s Republic of China,The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310006, People’s Republic of China,Correspondence: Conghua Ji, Email
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Turner DP, Deng H, Houle TT. Statistical Hypothesis Testing: Overview and Application. Headache 2021; 60:302-308. [PMID: 32011739 DOI: 10.1111/head.13706] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/29/2019] [Indexed: 12/13/2022]
Affiliation(s)
- Dana P Turner
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hao Deng
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Timothy T Houle
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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9
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Affiliation(s)
- Dana P Turner
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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10
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Turner DP, Deng H, Houle TT. Understanding and Applying Confidence Intervals. Headache 2020; 60:2118-2124. [PMID: 33249582 DOI: 10.1111/head.13991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 09/12/2020] [Indexed: 11/28/2022]
Affiliation(s)
- Dana P Turner
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hao Deng
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Timothy T Houle
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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11
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Turner DP, Deng H, Houle TT. Bayesian Approaches to Statistical Inferences. Headache 2020; 60:1879-1885. [PMID: 32996136 DOI: 10.1111/head.13952] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 08/14/2020] [Indexed: 11/27/2022]
Affiliation(s)
- Dana P Turner
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hao Deng
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Timothy T Houle
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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12
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Turner DP. Experimental Study Designs. Headache 2020; 60:1501-1507. [PMID: 33448352 DOI: 10.1111/head.13928] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 07/15/2020] [Indexed: 01/08/2023]
Affiliation(s)
- Dana P Turner
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Chen L, Han X, Li YL, Zhang C, Xing X. The impact of early neuraminidase inhibitor therapy on clinical outcomes in patients hospitalised with influenza A-related pneumonia: a multicenter, retrospective study. BMC Infect Dis 2020; 20:628. [PMID: 32842994 PMCID: PMC7447583 DOI: 10.1186/s12879-020-05322-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Accepted: 08/03/2020] [Indexed: 02/08/2023] Open
Abstract
Background Guidelines emphasize prompt antiviral treatment in severe influenza patients. Although nearly a 50% of severe influenza present with pneumonia, the effect of early (≤ 2 days after illness onset) neuraminidase inhibitor (NAI) use on the clinical outcomes of influenza A-related pneumonia (FluA-p) has rarely been assessed. Furthermore, data about the administration of NAIs in the real-world management of Flu-p in China are limited. Methods Data of patients hospitalised with FluA-p from five teaching hospitals in China from 1 January 2013 to 31 December 2018 were reviewed retrospectively. The impact of early NAI therapy on the outcomes in FluA-p patients, and the indications of early NAI administration by clinicians were evaluated by logistic regression analysis. Results In total, 693 FluA-p patients were included. Of these patients, 33.5% (232/693) were treated early. After adjusting for weighted propensity scores for treatment, systemic corticosteroid and antibiotic use, a multivariate logistic regression model showed that early NAI therapy was associated with decreased risk for invasive ventilation [odds ratio (OR) 0.511, 95% confidence interval (CI) 0.312–0.835, p = 0.007) and 30-day mortality (OR 0.533, 95% CI 0.210–0.807, p < 0.001) in FluA-p patients. A multivariate logistic regression model confirmed early NAI use (OR 0.415, 95% CI 0.195–0.858, p = 0.001) was a predictor for 30-day mortality in FluA-p patients and a positive rapid influenza diagnostic test was the only indication (OR 3.586, 95% CI 1.259–10.219, p < 0.001) related to the prescription of early NAI by clinicians. Conclusions Early NAI therapy is associated with better outcomes in FluA-p patients. Improved education and training of clinicians on the guidelines of influenza are needed.
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Affiliation(s)
- Liang Chen
- Department of Infectious Disease, Beijing Jishuitan Hospital, 4th Medical College of Peking University, Beijing, China.
| | - Xiudi Han
- Department of Pulmonary and Critical Care Medicine, Qingdao Municipal Hospital, Qingdao City, Shandong Province, China
| | - Yan Li Li
- Department of Infectious Diseases and Clinical Microbiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Chunxiao Zhang
- Department of Pulmonary and Critical Care Medicine, Beijing Huimin Hospital, Beijing, China
| | - Xiqian Xing
- Department of Pulmonary and Critical Care Medicine, the 2nd People's Hospital of Yunnan Province, Kunming City, Yunnan Province, China
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Turner DP, Deng H. A Conceptual Introduction to Regression. Headache 2020; 60:1047-1055. [PMID: 32474925 DOI: 10.1111/head.13834] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 04/20/2020] [Indexed: 01/05/2023]
Affiliation(s)
- Dana P Turner
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hao Deng
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
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15
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Turner DP, Deng H. Overview of Common Statistical Tests and their Assumptions. Headache 2020; 60:826-832. [PMID: 32337724 DOI: 10.1111/head.13789] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 03/02/2020] [Indexed: 01/14/2023]
Affiliation(s)
- Dana P Turner
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hao Deng
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
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