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评估超重与全因死亡率关联中的未控制混杂。

Assessing Uncontrolled Confounding in Associations of Being Overweight With All-Cause Mortality.

机构信息

Quantitative Sciences Unit, Stanford University, Palo Alto, California.

Department of Pediatrics, Stanford University, Palo Alto, California.

出版信息

JAMA Netw Open. 2022 Mar 1;5(3):e222614. doi: 10.1001/jamanetworkopen.2022.2614.

DOI:10.1001/jamanetworkopen.2022.2614
PMID:35344049
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8961316/
Abstract

This study investigates potential uncontrolled confounding in meta-analyses of the association of being overweight with all-cause mortality.

摘要

本研究调查了超重与全因死亡率关联的荟萃分析中潜在的未控制混杂因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca0a/8961316/64808e0de615/jamanetwopen-e222614-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca0a/8961316/64808e0de615/jamanetwopen-e222614-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca0a/8961316/64808e0de615/jamanetwopen-e222614-g001.jpg

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本文引用的文献

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Methods to Address Confounding and Other Biases in Meta-Analyses: Review and Recommendations.解决荟萃分析中混杂和其他偏倚的方法：综述与建议。
Annu Rev Public Health. 2022 Apr 5;43:19-35. doi: 10.1146/annurev-publhealth-051920-114020. Epub 2021 Sep 17.
2
Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses.Meta分析中未测量混杂因素的敏感性分析
J Am Stat Assoc. 2020;115(529):163-172. doi: 10.1080/01621459.2018.1529598. Epub 2019 Apr 30.
3
Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous Effects.
体重指数随时间变化与糖尿病性心搏骤停的关系。
Cardiovasc Diabetol. 2024 Jan 28;23(1):46. doi: 10.1186/s12933-024-02130-4.
4
Does the "Obesity Paradox" Have an Expiration Date? A Retrospective Cohort Study.“肥胖悖论”是否有期限？一项回顾性队列研究。
J Clin Med. 2023 Oct 26;12(21):6765. doi: 10.3390/jcm12216765.
稳健性度量和敏感性分析在异质效应荟萃分析中的应用
Epidemiology. 2020 May;31(3):356-358. doi: 10.1097/EDE.0000000000001180.
4
Using the E-Value to Assess the Potential Effect of Unmeasured Confounding in Observational Studies.使用E值评估观察性研究中未测量混杂因素的潜在影响。
JAMA. 2019 Feb 12;321(6):602-603. doi: 10.1001/jama.2018.21554.
5
Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents.体重指数与全因死亡率：四大洲239项前瞻性研究的个体参与者数据荟萃分析
Lancet. 2016 Aug 20;388(10046):776-86. doi: 10.1016/S0140-6736(16)30175-1. Epub 2016 Jul 13.
6
Association of all-cause mortality with overweight and obesity using standard body mass index categories: a systematic review and meta-analysis.采用标准体重指数类别评估全因死亡率与超重和肥胖的关联：系统评价和荟萃分析。
JAMA. 2013 Jan 2;309(1):71-82. doi: 10.1001/jama.2012.113905.