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Gonzalez C, García-Pérez A, Nervi B, Munoz C, Morales E, Losada H, Merino-Pereira G, Rothhammer F, Lorenzo Bermejo J. Cholecystectomy and digestive cancer in Chile: Complementary results from interrupted time series and aggregated data analyses. Int J Cancer 2024. [PMID: 39150415 DOI: 10.1002/ijc.35138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Revised: 07/02/2024] [Accepted: 07/15/2024] [Indexed: 08/17/2024]
Abstract
Gallbladder cancer (GBC) mortality in Chile is among the highest worldwide. In 2006, the Chilean government launched a programme guaranteeing access to gallbladder surgery (cholecystectomy) for patients aged 35-49 years. We evaluated the impact of this programme on digestive cancer mortality. After conducting an interrupted time series analysis of hospitalisation and mortality data from 2002 to 2018 publicly available from the Chilean Department of Health Statistics and Information, we calculated the change in the proportion of individuals without gallbladder since 10 years. We then estimated age, gender, region, and calendar-year standardised mortality ratios (SMRs) as a function of the change in the proportion of individuals without gallbladder. The cholecystectomy rate increased by 45 operations per 100,000 persons per year (95%CI 19-72) after the introduction of the health programme. Each 1% increase in the proportion of individuals without gallbladder since 10 years was associated with a 0.73% decrease in GBC mortality (95% CI -1.05% to -0.38%), but the negative correlation was limited to women, southern Chile and age over 60. We also found decreasing mortality rates for extrahepatic bile duct, liver, oesophageal and stomach cancer with increasing proportions of individuals without gallbladder. To conclude, 12 years after its inception, the Chilean cholecystectomy programme has markedly and heterogeneously changed cholecystectomy rates. Results based on aggregate data indicate a negative correlation between the proportion of individuals without gallbladder and mortality due to gallbladder and other digestive cancers, which requires validation using individual-level longitudinal data to reduce the potential impact of ecological bias.
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Affiliation(s)
- Constanza Gonzalez
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
- Center for Cancer Prevention and Control (CECAN), Santiago, Chile
| | - Alfonso García-Pérez
- Departamento de Estadística, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain
| | - Bruno Nervi
- Center for Cancer Prevention and Control (CECAN), Santiago, Chile
- Departamento de Hematología y Oncología, Escuela de Medicina Pontificia Universidad Católica de Chile, Santiago, Chile
| | - César Munoz
- Hospital Regional de Talca, Talca, Chile
- Facultad de Medicina, Universidad Católica del Maule, Talca, Chile
| | - Erik Morales
- Hospital Regional de Talca, Talca, Chile
- Facultad de Medicina, Universidad Católica del Maule, Talca, Chile
| | | | - Gina Merino-Pereira
- Departamento Manejo Integral del Cáncer y Otros Tumores, Subsecretaria de Salud Pública, Ministerio de Salud de Chile, Santiago, Chile
| | | | - Justo Lorenzo Bermejo
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
- Center for Cancer Prevention and Control (CECAN), Santiago, Chile
- Laboratory of Biostatistics for Precision Oncology, Institut de Cancérologie Strasbourg Europe, Strasbourg, France
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2
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Amaral Raposo M, Sousa Oliveira E, Dos Santos A, Guadagnini D, El Mourabit H, Housset C, Lemoinne S, Abdalla Saad MJ. Impact of cholecystectomy on the gut-liver axis and metabolic disorders. Clin Res Hepatol Gastroenterol 2024; 48:102370. [PMID: 38729564 DOI: 10.1016/j.clinre.2024.102370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 04/28/2024] [Accepted: 05/05/2024] [Indexed: 05/12/2024]
Abstract
Cholecystectomy is considered as a safe procedure to treat patients with gallstones. However, epidemiological studies highlighted an association between cholecystectomy and metabolic disorders, such as type 2 diabetes mellitus and metabolic dysfunction-associated steatotic liver disease (MASLD), independently of the gallstone disease. Following cholecystectomy, bile acids flow directly from the liver into the intestine, leading to changes in the entero-hepatic circulation of bile acids and their metabolism. The changes in bile acids metabolism impact the gut microbiota. Therefore, cholecystectomized patients display gut dysbiosis characterized by a reduced diversity, a loss of bacteria producing short-chain fatty acids and an increase in pro-inflammatory bacteria. Alterations of both bile acids metabolism and gut microbiota occurring after cholecystectomy can promote the development of metabolic disorders. In this review, we discuss the impact of cholecystectomy on bile acids and gut microbiota and its consequences on metabolic functions.
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Affiliation(s)
- Mariana Amaral Raposo
- Department of Internal Medicine, Faculty of Medical Sciences, State University of Campinas (UNICAMP), Campinas - São Paulo, Brazil; Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA) and Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - Emília Sousa Oliveira
- Department of Internal Medicine, Faculty of Medical Sciences, State University of Campinas (UNICAMP), Campinas - São Paulo, Brazil
| | - Andrey Dos Santos
- Department of Internal Medicine, Faculty of Medical Sciences, State University of Campinas (UNICAMP), Campinas - São Paulo, Brazil
| | - Dioze Guadagnini
- Department of Internal Medicine, Faculty of Medical Sciences, State University of Campinas (UNICAMP), Campinas - São Paulo, Brazil
| | - Haquima El Mourabit
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA) and Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - Chantal Housset
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA) and Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - Sara Lemoinne
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA) and Institute of Cardiometabolism and Nutrition (ICAN), Paris, France; Reference Center for Inflammatory Biliary Diseases and Autoimmune Hepatitis, European Reference Network on Hepatological Diseases (ERN Rare-Liver), Saint-Antoine Hospital, Assistance Publique - Hôpitaux de Paris (APHP), Paris, France.
| | - Mário José Abdalla Saad
- Department of Internal Medicine, Faculty of Medical Sciences, State University of Campinas (UNICAMP), Campinas - São Paulo, Brazil.
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Ma P, Li R, Zeng L, Hong C, Li Y, Liang S, Zhu H, Cui H, Wang J, He J, Li Z, Xu J, Liu L, Xiao L. Association between sarcopenia-related markers and cholelithiasis: A prospective and Mendelian randomization study. ENVIRONMENTAL TOXICOLOGY 2024; 39:3473-3480. [PMID: 38450827 DOI: 10.1002/tox.24215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 02/21/2024] [Accepted: 02/25/2024] [Indexed: 03/08/2024]
Abstract
Cholelithiasis is a common digestive disease that drives a myriad of adverse complications. The correlation between sarcopenia and various digestive disorders has been extensively researched, whereas its association with cholelithiasis remains unreported. We aimed to investigate the association through prospective and Mendelian randomization (MR) analyses and establish a quantitative score reflecting the impact of sarcopenia-related markers on cholelithiasis. The prospective study involved 448 627 participants from the UK Biobank. Cox proportional hazard models were employed to investigate the correlation between sarcopenia-related markers and cholelithiasis. To quantitatively assess cholelithiasis risk, the SARCHO score was derived from a multivariable Cox model. Bidirectional two-sample MR analysis was conducted to validate the causal association. A total of 16 738 individuals developed cholelithiasis during a median follow-up of 12 years. Hazard ratios (HRs) of cholelithiasis decreased stepwise over skeletal muscle index tertiles (highest tertile: reference; middle tertile: 1.23, p < .001; lowest tertile: 1.33, p < .001). The tertiles of grip strength showed a similar pattern. Individuals with slow walking pace had a higher risk of cholelithiasis compared to those with normal walking pace (HR 1.23; p < .001). Our SARCHO score better quantifies the risk of cholelithiasis. MR analysis showed a causal relationship between muscle mass and cholelithiasis (OR 0.81; p < .001). No causal effect of cholelithiasis on lean mass was observed. Prospective and MR analyses have consistently demonstrated an increased risk of cholelithiasis in individuals with decreased muscle mass. Additionally, SARCHO score further quantified the cholelithiasis occurrence risk. These findings provide compelling evidence for muscle strengthening in preventing cholelithiasis.
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Affiliation(s)
- Pengcheng Ma
- School of Public Health, Southern Medical University, Guangzhou, China
- School of Health Management, Southern Medical University, Guangzhou, China
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ruining Li
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lin Zeng
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Chang Hong
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yan Li
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Shengxing Liang
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Hongbo Zhu
- Department of Medical Oncology, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Hao Cui
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jiaren Wang
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jingzhe He
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zeyang Li
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Jun Xu
- School of Public Health, Southern Medical University, Guangzhou, China
- School of Health Management, Southern Medical University, Guangzhou, China
- Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Li Liu
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lushan Xiao
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Hepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Big Data Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Cirillo L, Innocenti S, Becherucci F. Global epidemiology of kidney cancer. Nephrol Dial Transplant 2024; 39:920-928. [PMID: 38341277 DOI: 10.1093/ndt/gfae036] [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: 08/04/2023] [Indexed: 02/12/2024] Open
Abstract
Kidney cancer (KC) is a disease with a rising worldwide incidence estimated at 400 000 new cases annually, and a worldwide mortality rate approaching 175 000 deaths per year. Current projections suggest incidence continuing to increase over the next decade, emphasizing the urgency of addressing this significant global health trend. Despite the overall increases in incidence and mortality, striking social disparities are evident. Low- and middle-income countries bear a disproportionate burden of the disease, with higher mortality rates and later-stage diagnoses, underscoring the critical role of socioeconomic factors in disease prevalence and outcomes. The major risk factors for KC, including smoking, obesity, hypertension and occupational exposure to harmful substances, must be taken into account. Importantly, these risk factors also often contribute to kidney injury, a condition that the review identifies as a significant, yet under-recognized, precursor to KC. Finally, the indispensable role of nephrologists is underscored in managing this complex disease landscape. Nephrologists are at the forefront of detecting and managing kidney injuries, and their role in mitigating the risk of KC is becoming increasingly apparent. Through this comprehensive analysis, we aim to facilitate a more nuanced understanding of KC's epidemiology and determinants providing valuable insights for researchers, clinicians and policymakers alike.
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Affiliation(s)
- Luigi Cirillo
- Nephrology and Dialysis Department, Meyer Children's Hospital IRCCS, Florence 50139, Italy
| | - Samantha Innocenti
- Nephrology and Dialysis Department, Meyer Children's Hospital IRCCS, Florence 50139, Italy
| | - Francesca Becherucci
- Nephrology and Dialysis Department, Meyer Children's Hospital IRCCS, Florence 50139, Italy
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
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王 新, 白 烨, 于 文, 谢 林, 李 诗, 江 果, 李 鸿, 张 本. [New Progress in Longitudinal Research on the Risk Factors for Cholelithiasis]. SICHUAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF SICHUAN UNIVERSITY. MEDICAL SCIENCE EDITION 2024; 55:490-500. [PMID: 38645861 PMCID: PMC11026901 DOI: 10.12182/20240360508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Indexed: 04/23/2024]
Abstract
Cholelithiasis is a common disease of the digestive system. The risk factors for cholelithiasis have been reported and summarized many times in the published literature, which primarily focused on cross-sectional studies. Due to the inherent limitations of the study design, the reported findings still need to be validated in additional longitudinal studies. Moreover, a number of new risk factors for cholelithiasis have been identified in recent years, such as bariatric surgery, hepatitis B virus infection, hepatitis C virus infection, kidney stones, colectomy, osteoporosis, etc. These new findings have not yet been included in published reviews. Herein, we reviewed the 101 cholelithiasis-associated risk factors identified through research based on longitudinal investigations, including cohort studies, randomized controlled trials, and nested case control studies. The risk factors associated with the pathogenesis of cholelithiasis were categorized as unmodifiable and modifiable factors. The unmodifiable factors consist of age, sex, race, and family history, while the modifiable factors include 37 biological environmental factors, 25 socioenvironmental factors, and 35 physiochemical environmental factors. This study provides thorough and comprehensive ideas for research concerning the pathogenesis of cholelithiasis, supplying the basis for identifying high-risk groups and formulating relevant prevention strategies.
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Affiliation(s)
- 新 王
- 四川大学华西公共卫生学院/四川大学华西第四医院 (成都 610041)West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 烨 白
- 四川大学华西公共卫生学院/四川大学华西第四医院 (成都 610041)West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 文倩 于
- 四川大学华西公共卫生学院/四川大学华西第四医院 (成都 610041)West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 林君 谢
- 四川大学华西公共卫生学院/四川大学华西第四医院 (成都 610041)West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 诗懿 李
- 四川大学华西公共卫生学院/四川大学华西第四医院 (成都 610041)West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 果恒 江
- 四川大学华西公共卫生学院/四川大学华西第四医院 (成都 610041)West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 鸿钰 李
- 四川大学华西公共卫生学院/四川大学华西第四医院 (成都 610041)West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 本 张
- 四川大学华西公共卫生学院/四川大学华西第四医院 (成都 610041)West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
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Qiao H, Chen Y, Qian C, Guo Y. Clinical data mining: challenges, opportunities, and recommendations for translational applications. J Transl Med 2024; 22:185. [PMID: 38378565 PMCID: PMC10880222 DOI: 10.1186/s12967-024-05005-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 02/18/2024] [Indexed: 02/22/2024] Open
Abstract
Clinical data mining of predictive models offers significant advantages for re-evaluating and leveraging large amounts of complex clinical real-world data and experimental comparison data for tasks such as risk stratification, diagnosis, classification, and survival prediction. However, its translational application is still limited. One challenge is that the proposed clinical requirements and data mining are not synchronized. Additionally, the exotic predictions of data mining are difficult to apply directly in local medical institutions. Hence, it is necessary to incisively review the translational application of clinical data mining, providing an analytical workflow for developing and validating prediction models to ensure the scientific validity of analytic workflows in response to clinical questions. This review systematically revisits the purpose, process, and principles of clinical data mining and discusses the key causes contributing to the detachment from practice and the misuse of model verification in developing predictive models for research. Based on this, we propose a niche-targeting framework of four principles: Clinical Contextual, Subgroup-Oriented, Confounder- and False Positive-Controlled (CSCF), to provide guidance for clinical data mining prior to the model's development in clinical settings. Eventually, it is hoped that this review can help guide future research and develop personalized predictive models to achieve the goal of discovering subgroups with varied remedial benefits or risks and ensuring that precision medicine can deliver its full potential.
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Affiliation(s)
- Huimin Qiao
- Medical Big Data and Bioinformatics Research Centre, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Yijing Chen
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, China
| | - Changshun Qian
- School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China
| | - You Guo
- Medical Big Data and Bioinformatics Research Centre, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, China.
- School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China.
- Ganzhou Key Laboratory of Medical Big Data, Ganzhou, China.
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7
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Yan P, Zhang L, Yang C, Zhang W, Wang Y, Zhang M, Cui H, Tang M, Chen L, Wu X, Zhao X, Zou Y, Xiao J, Liu Y, Xiao C, Yang Y, Zhang L, Yao Y, Li J, Liu Z, Yang C, Jiang X, Zhang B. Observational and genetic analyses clarify the relationship between type 2 diabetes mellitus and gallstone disease. Front Endocrinol (Lausanne) 2024; 14:1337071. [PMID: 38356679 PMCID: PMC10864641 DOI: 10.3389/fendo.2023.1337071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 12/26/2023] [Indexed: 02/16/2024] Open
Abstract
Background The relationship between type 2 diabetes mellitus (T2DM) and gallstone disease (GSD) have been incompletely understood. We aimed to investigate their phenotypic and genetic associations and evaluate the biological mechanisms underlying these associations. Methods We first evaluated the phenotypic association between T2DM and GSD using data from the UK Biobank (n>450,000) using a prospective observational design. We then conducted genetic analyses using summary statistics from a meta-analysis of genome-wide association studies of T2DM, with and without adjusting for body mass index (BMI) (Ncase=74,124, Ncontrol=824,006; T2DMadjBMI: Ncase=50,409, Ncontrol=523,897) and GSD (Ncase=43,639, Ncontrol=506,798). Results A unidirectional phenotypic association was observed, where individuals with T2DM exhibited a higher GSD risk (hazard ratio (HR)=1.39, P<0.001), but not in the reverse direction (GSD→T2DM: HR=1.00, P=0.912). The positive T2DM-GSD genetic correlation (rg=0.35, P=7.71×10-23) remained even after adjusting for BMI (T2DMadjBMI: rg=0.22, P=4.48×10-10). Mendelian randomization analyses provided evidence of a unidirectional causal relationship (T2DM→GSD: odds ratio (OR)=1.08, P=4.6×10-8; GSD→T2DM: OR=1.02, P=0.48), even after adjusting for important metabolic confounders (OR=1.02, P=0.02). This association was further corroborated through a comprehensive functional analysis reflected by 23 pleiotropic single nucleotide polymorphisms, as well as multiple neural and motor-enriched tissues. Conclusion Through comprehensive observational and genetic analyses, our study clarified the causal relationship between T2DM and GSD, but not in the reverse direction. These findings might provide new insights into prevention and treatment strategies for T2DM and GSD.
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Affiliation(s)
- Peijing Yan
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chao Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
| | - Wenqiang Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yutong Wang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Min Zhang
- Clinical Research Center, Women and Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Huijie Cui
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Mingshuang Tang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lin Chen
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xueyao Wu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xunying Zhao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanqiu Zou
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jinyu Xiao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yunjie Liu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chenghan Xiao
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yanfang Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ling Zhang
- Department of Iatrical Polymer Material and Artificial Apparatus, School of Polymer Science and Engineering, Sichuan University, Chengdu, China
| | - Yuqin Yao
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiayuan Li
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhenmi Liu
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chunxia Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xia Jiang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Ben Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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8
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Scherer D, Boekstegers F, Lorenzo Bermejo J. Reply. Gastroenterology 2023; 165:1306-1307. [PMID: 37611851 DOI: 10.1053/j.gastro.2023.08.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 08/25/2023]
Affiliation(s)
- Dominique Scherer
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
| | - Felix Boekstegers
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany
| | - Justo Lorenzo Bermejo
- Statistical Genetics Research Group, Institute of Medical Biometry, Heidelberg University, Heidelberg, Germany; Department of Biostatistics for Precision Oncology, Institut de Cancérologie Strasbourg Europe, Strasbourg, France
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9
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Chinitz MA. Comment on "Gallstones, Cholecystectomy, and Kidney Cancer: Observational and Mendelian Randomization Results Based on Large Cohorts". Gastroenterology 2023; 165:1305. [PMID: 37468000 DOI: 10.1053/j.gastro.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 07/10/2023] [Indexed: 07/21/2023]
Affiliation(s)
- Marvin A Chinitz
- Division of Gastroenterology, Montefiore Medical Center, Bronx, New York
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Posada Calderon L, Strasser MO, Brant A. Comment Regarding "Gallstones, Cholecystectomy, and Kidney Cancer: Observational and Mendelian Randomization Results Based on Large Cohorts". Gastroenterology 2023; 165:1305-1306. [PMID: 37558140 DOI: 10.1053/j.gastro.2023.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 08/03/2023] [Indexed: 08/11/2023]
Affiliation(s)
- Lina Posada Calderon
- Department of Urology, New York Presbyterian, Weill Cornell Medicine, New York, New York
| | - Mary Oakley Strasser
- Department of Urology, New York Presbyterian, Weill Cornell Medicine, New York, New York
| | - Aaron Brant
- Department of Urology, New York Presbyterian, Weill Cornell Medicine, New York, New York
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