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ICURE: Intensive care unit (ICU) risk evaluation for 30-day mortality. Developing and evaluating a multivariable machine learning prediction model for patients admitted to the general ICU in Sweden.ICURE：30 天死亡率的重症监护病房（ICU）风险评估。在瑞典，针对普通 ICU 收治的患者，开发和评估一个多变量机器学习预测模型。
Acta Anaesthesiol Scand. 2024 Nov;68(10):1379-1389. doi: 10.1111/aas.14501. Epub 2024 Jul 21.
2
-value, compatibility, and S-value.价值、兼容性和S值。
Glob Epidemiol. 2022 Sep 12;4:100085. doi: 10.1016/j.gloepi.2022.100085. eCollection 2022 Dec.
3
Minimum false-positive risk of primary outcomes and impact of reducing nominal P-value threshold from 0.05 to 0.005 in anaesthesiology randomised clinical trials: a cross-sectional study.麻醉学随机临床试验中主要结局的最低假阳性风险以及将名义P值阈值从0.05降低到0.005的影响：一项横断面研究。
Br J Anaesth. 2023 Apr;130(4):412-420. doi: 10.1016/j.bja.2022.11.001. Epub 2022 Dec 8.
4
Minimal clinically important differences in randomised clinical trials on pain management after total hip and knee arthroplasty: a systematic review.随机临床试验中全髋关节和膝关节置换术后疼痛管理的最小临床重要差异：系统评价。
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5
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6
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7
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8
Prevalence of Multiplicity and Appropriate Adjustments Among Cardiovascular Randomized Clinical Trials Published in Major Medical Journals.主要医学期刊发表的心血管随机临床试验中多发性的流行情况和适当调整。
JAMA Netw Open. 2020 Apr 1;3(4):e203082. doi: 10.1001/jamanetworkopen.2020.3082.
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The minimum clinically important difference: which direction to take.最小临床重要差异：何去何从。
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被误解的P值：为何统计学显著性在临床实践中并不足够。

The misunderstood P-value: why statistical significance is not enough in clinical practice.

作者信息

Ahmed Ebadullah S, Butt Mohsin N

机构信息

Department of Anaesthesiology, Aga Khan University, Karachi, Pakistan.

Department of Anaesthesiology, Aga Khan University, Karachi, Pakistan.

出版信息

Br J Anaesth. 2025 Apr;134(4):909-913. doi: 10.1016/j.bja.2025.01.008. Epub 2025 Feb 4.

DOI:10.1016/j.bja.2025.01.008
PMID:39909800
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11947593/
Abstract

P-values have traditionally guided clinical research, but over-reliance on them can lead to misinterpretation and poor decision-making. This article highlights common misconceptions about P-values and suggests incorporating the minimum clinically important difference (MCID) along with other metrics such as effect sizes and Bayesian methods. Evidence-based practice is essential in anaesthesiology, and research findings should be evaluated in the context of patient outcomes to guide clinical decisions.

摘要

P值传统上一直指导着临床研究，但过度依赖P值可能会导致误解和决策失误。本文强调了关于P值的常见误解，并建议将最小临床重要差异（MCID）与效应量和贝叶斯方法等其他指标结合起来。循证实践在麻醉学中至关重要，研究结果应在患者预后的背景下进行评估，以指导临床决策。