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方法学质量的多变量预后模型颅内出血的重症监护病房:系统评价。

Methodological quality of multivariate prognostic models for intracranial haemorrhages in intensive care units: a systematic review.

机构信息

UMR 1246 Methods in Patients-Centered Outcomes and Health Research, INSERM, Nantes, France

UMR 1246 Methods in Patients-Centered Outcomes and Health Research, INSERM, Nantes, France.

出版信息

BMJ Open. 2021 Sep 21;11(9):e047279. doi: 10.1136/bmjopen-2020-047279.

Abstract

OBJECTIVES

Patients with severe spontaneous intracranial haemorrhages, managed in intensive care units, face ethical issues regarding the difficulty of anticipating their recovery. Prognostic tools help clinicians in counselling patients and relatives and guide therapeutic decisions. We aimed to methodologically assess prognostic tools for functional outcomes in severe spontaneous intracranial haemorrhages.

DATA SOURCES

Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations, we conducted a systematic review querying Medline, Embase, Web of Science, and the Cochrane in January 2020.

STUDY SELECTION

We included development or validation of multivariate prognostic models for severe intracerebral or subarachnoid haemorrhage.

DATA EXTRACTION

We evaluated the articles following the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies and Transparent Reporting of multivariable prediction model for Individual Prognosis Or Diagnosis statements to assess the tools' methodological reporting.

RESULTS

Of the 6149 references retrieved, we identified 85 articles eligible. We discarded 43 articles due to the absence of prognostic performance or predictor selection. Among the 42 articles included, 22 did not validate models, 6 developed and validated models and 14 only externally validated models. When adding 11 articles comparing developed models to existing ones, 25 articles externally validated models. We identified methodological pitfalls, notably the lack of adequate validations or insufficient performance levels. We finally retained three scores predicting mortality and unfavourable outcomes: the IntraCerebral Haemorrhages (ICH) score and the max-ICH score for intracerebral haemorrhages, the SubArachnoid Haemorrhage International Trialists score for subarachnoid haemorrhages.

CONCLUSIONS

Although prognostic studies on intracranial haemorrhages abound in the literature, they lack methodological robustness or show incomplete reporting. Rather than developing new scores, future authors should focus on externally validating and updating existing scores with large and recent cohorts.

摘要

目的

在重症监护病房接受治疗的严重自发性颅内出血患者,其康复情况难以预测,这涉及到伦理问题。预后工具可帮助临床医生为患者和家属提供咨询,并指导治疗决策。本研究旨在系统评估用于严重自发性颅内出血患者功能预后的预后工具。

数据来源

根据系统评价和荟萃分析的首选报告项目建议,我们于 2020 年 1 月在 Medline、Embase、Web of Science 和 Cochrane 中进行了系统检索。

研究选择

我们纳入了用于严重脑内或蛛网膜下腔出血的多变量预后模型的开发或验证研究。

数据提取

我们根据关键评估清单和系统评价预测模型研究的数据提取清单,以及多变量预测模型个体预后或诊断报告的透明性清单,评估了这些工具的方法学报告。

结果

在检索到的 6149 篇参考文献中,我们确定了 85 篇符合条件的文章。由于缺乏预后性能或预测因子选择,我们排除了 43 篇文章。在纳入的 42 篇文章中,有 22 篇没有验证模型,6 篇开发和验证了模型,14 篇仅进行了外部验证模型。在添加了 11 篇比较开发模型与现有模型的文章后,我们共评估了 25 篇外部验证模型。我们发现了一些方法学上的缺陷,特别是缺乏充分的验证或性能水平不足。最终,我们保留了三个预测死亡率和不良结局的评分:ICH 评分和 max-ICH 评分用于脑内出血,蛛网膜下腔出血国际试验评分用于蛛网膜下腔出血。

结论

尽管颅内出血的预后研究在文献中大量存在,但它们缺乏方法学上的稳健性或表现出不完整的报告。未来的作者应该专注于使用大型和近期的队列对现有的评分进行外部验证和更新,而不是开发新的评分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e53/8458313/8953a7bcb198/bmjopen-2020-047279f01.jpg

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