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医学期刊中生存分析报告质量仍待提高。最低要求建议。

Reporting quality of survival analyses in medical journals still needs improvement. A minimal requirements proposal.

机构信息

Unidad de Bioestadística Clínica, Hospital Universitario Ramón y Cajal, IRYCIS, Crta. Colmenar km 9.1, 28034 Madrid, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain.

出版信息

J Clin Epidemiol. 2013 Dec;66(12):1340-6.e5. doi: 10.1016/j.jclinepi.2013.06.009. Epub 2013 Sep 7.

Abstract

OBJECTIVES

We reviewed publications with two main objectives: to describe how survival analyses are reported across medical journal specialties and to evaluate changes in reporting across periods and journal specialties.

STUDY DESIGN AND SETTING

Systematic review of clinical research articles published in 1991 and 2007, in 13 high-impact medical journals.

RESULTS

The number of articles performing survival analysis published in 1991 (104) and 2007 (240) doubled (17% vs. 33.5%; P = 0.000), although not uniformly across specialties. The percentage of studies using regression models and the number of patients included also increased. The presentation of results improved, although only the reporting of precision of effect estimates reached satisfactory levels (53.1% in 1991 vs. 94.2% in 2007; P = 0.000). Quality of reporting also varied across specialties; for example, cardiology articles were less likely than oncology ones to discuss sample size estimation (odds ratio = 0.12; 95% confidence interval: 0.05, 0.30). We also detected an interaction effect between period and specialty regarding the likelihood of reporting precision of curves and precision of effect estimates.

CONCLUSION

The application of survival analysis to medical research data is increasing, whereas improvement in reporting quality is slow. We propose a list of minimum requirements for improved application and description of survival analysis.

摘要

目的

我们的主要目标是回顾出版物,描述生存分析在医学期刊专业中的报告方式,并评估报告在不同时期和期刊专业中的变化。

研究设计和设置

对 13 种高影响力医学期刊在 1991 年和 2007 年发表的临床研究文章进行系统回顾。

结果

1991 年(104 篇)和 2007 年(240 篇)发表生存分析文章的数量增加了一倍(17%对 33.5%;P=0.000),但各专业之间并不均匀。使用回归模型的研究比例和纳入的患者数量也有所增加。结果的呈现有所改善,尽管只有效应估计精度的报告达到了令人满意的水平(1991 年为 53.1%,2007 年为 94.2%;P=0.000)。报告质量也因专业而异;例如,心脏病学文章比肿瘤学文章更不可能讨论样本量估计(比值比=0.12;95%置信区间:0.05,0.30)。我们还检测到报告曲线精度和效应估计精度的可能性在时期和专业之间存在交互效应。

结论

生存分析在医学研究数据中的应用正在增加,而报告质量的提高则较为缓慢。我们提出了一系列改进生存分析应用和描述的最低要求。

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