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高质量证据稳定且可靠,而中低质量证据可能同样容易不稳定。

High certainty evidence is stable and trustworthy, whereas evidence of moderate or lower certainty may be equally prone to being unstable.

机构信息

Division of Hematology/Oncology, Department of Medicine, Medical University of South Carolina, Charleston, SC, USA.

Clinic of Orthodontics and Pediatric Dentistry, Center of Dental Medicine, University of Zurich, Zurich, Switzerland; Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA.

出版信息

J Clin Epidemiol. 2024 Jul;171:111392. doi: 10.1016/j.jclinepi.2024.111392. Epub 2024 May 11.

Abstract

OBJECTIVES

To assess to what extent the overall quality of evidence indicates changes to observe intervention effect estimates when new data become available.

METHODS

We conducted a meta-epidemiological study. We obtained evidence from meta-analyses of randomized trials of Cochrane reviews addressing the same health-care question that was updated with inclusion of additional data between January 2016 and May 2021. We extracted the reported effect estimates with 95% confidence intervals (CIs) from meta-analyses and corresponding GRADE (Grading of Recommendations Assessment, Development, and Evaluation) assessments of any intervention comparison for the primary outcome in the first and the last updated review version. We considered the reported overall quality (certainty) of evidence (CoE) and specific evidence limitations (no, serious or very serious for risk of bias, imprecision, inconsistency, and/or indirectness). We assessed the change in pooled effect estimates between the original and updated evidence using the ratio of odds ratio (ROR), absolute ratio of odds ratio (aROR), ratio of standard errors (RoSE), direction of effects, and level of statistical significance.

RESULTS

High CoE without limitations characterized 19.3% (n = 29) out of 150 included original Cochrane reviews. The update with additional data did not systematically change the effect estimates (mean ROR 1.00; 95% CI 0.99-1.02), which deviated 1.06-fold from the older estimates (median aROR; interquartile range [IQR]: 1.01-1.15), gained precision (median RoSE 0.87; IQR 0.76-1.00), and maintained the same direction with the same level of statistical significance in 93% (27 of 29) of cases. Lower CoE with limitations characterized 121 original reviews and graded as moderate CoE in 30.0% (45 of 150), low CoE in 32.0% (48 of 150), and very low CoE in 18.7% (28 of 150) reviews. Their update had larger absolute deviations (median aROR 1.12 to 1.33) and larger gains in precision (median RoSE 0.78-0.86) without clear and consistent differences between these categories of CoE. Changes in effect direction or statistical significance were also more common in the lower quality evidence, again with a similar extent across categories (without change in 75.6%, 64.6%, and 75.0% for moderate, low, very low CoE). As limitations increased, effect estimates deviated more (aROR 1.05 with zero, 1.11 with one, 1.25 with two, 1.24 with three limitations) and changes in direction or significance became more frequent (93.2% stable with no limitations, 74.5% with one, 68.2% with two, and 61.5% with three limitations).

CONCLUSION

High-quality evidence without methodological deficiencies is trustworthy and stable, providing reliable intervention effect estimates when updated with new data. Evidence of moderate and lower quality may be equally prone to being unstable and cannot indicate if available effect estimates are true, exaggerated, or underestimated.

摘要

目的

评估新数据出现时,整体证据质量在多大程度上表明干预效果估计值会发生变化。

方法

我们进行了一项荟萃分析研究。我们从 Cochrane 综述的随机试验荟萃分析中获取了证据,这些综述针对同一医疗保健问题进行了更新,纳入了 2016 年 1 月至 2021 年 5 月期间额外数据。我们从荟萃分析中提取了报告的效应估计值及其 95%置信区间(CI),以及第一版和最后一版更新综述中针对主要结局的任何干预比较的相应 GRADE(推荐评估、制定与评估)评估。我们考虑了报告的总体质量(确定性)证据(CoE)和特定证据局限性(无、严重或非常严重的偏倚风险、不精确性、不一致性和/或间接性)。我们使用比值比(OR)、绝对比值比(aOR)、标准误差比(RoSE)、效应方向和统计学意义水平评估原始证据和更新证据之间的汇总效应估计值变化。

结果

在 150 项原始 Cochrane 综述中,有 19.3%(n=29)的 CoE 较高且无局限性。更新后的额外数据并未系统地改变效应估计值(平均 OR 1.00;95%CI 0.99-1.02),与旧估计值相比偏离 1.06 倍(中位数 aOR;四分位距[IQR]:1.01-1.15),获得了更高的精确度(中位数 RoSE 0.87;IQR 0.76-1.00),在 93%(27/29)的情况下保持了相同的方向和统计学意义水平。原始综述中有 121 项 CoE 较低且存在局限性,其中 30.0%(45/150)为中度 CoE,32.0%(48/150)为低度 CoE,18.7%(28/150)为极低度 CoE。它们的更新有更大的绝对偏差(中位数 aOR 1.12 至 1.33)和更大的精度增益(中位数 RoSE 0.78-0.86),但这些 CoE 类别之间没有明显和一致的差异。效应方向或统计学意义的变化在较低质量证据中也更为常见,同样在各个类别中程度相似(中度、低度和极低度 CoE 分别为 75.6%、64.6%和 75.0%不变)。随着局限性的增加,效应估计值的偏差更大(aOR 1.05 为零、1.11 为一、1.25 为二、1.24 为三),方向或意义的变化更为频繁(无局限性的稳定性为 93.2%、有一个局限性的稳定性为 74.5%、有两个局限性的稳定性为 68.2%、有三个局限性的稳定性为 61.5%)。

结论

高质量且无方法学缺陷的证据是可靠和稳定的,在更新新数据时提供可靠的干预效果估计值。中等质量和较低质量的证据可能同样不稳定,无法指示现有效果估计值是否真实、夸大或低估。

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