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妊娠药物警戒数据来源中临床信息的质量——ConcePTION项目的一项贡献

Quality of Clinical Information in Pregnancy Pharmacovigilance Data Sources-A Contribution of the ConcePTION Project.

作者信息

van Rijt-Weetink Yrea R J, van Gendt Jip, Egberts Toine C G, van Hunsel Florence P A M, Lewis David J, Yates Laura M, Winterfeld Ursula, van Puijenbroek Eugène P

机构信息

Groningen Research Institute of Pharmacy, PharmacoTherapy, -Epidemiology and -Economics, University of Groningen, Groningen, the Netherlands.

Division of Pharmacoepidemiology and Clinical Pharmacology, Department of Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, the Netherlands.

出版信息

Pharmacoepidemiol Drug Saf. 2025 Jul;34(7):e70182. doi: 10.1002/pds.70182.

DOI:10.1002/pds.70182
PMID:40566817
Abstract

PURPOSE

Good documentation of adverse events related to medicines is essential for the assessment of safety signals. Information on the clinical quality of primary pregnancy safety data sources is lacking. The objective of this study was to assess the differences in clinical quality of various sources of primary pregnancy pharmacovigilance (PV) data.

METHODS

Fifty reports of exposures to medicines during pregnancy were collected from: spontaneous and literature reports from EudraVigilance, European Network of Teratology Information Services (ENTIS), the Dutch Pregnancy Drug Register, enhanced PV programmes (EPV), and patient support programmes (PSP). Reports were standardized and anonymized, after which their clinical quality was assessed. Mean scores per source were compared using ANOVA (analysis of variance test).

RESULTS

Mean clinical quality scores were 89.0% (SD 10.1%) for the Dutch Pregnancy Drug Register, 77.1% (SD 13.3%) for TIS, 64.7% (SD 20.5%) for EPVs, 49.5% (SD 16.2%) for PSPs, 40.9% (SD 21.6%) for spontaneous reports, and 38.6% (SD 18.0%) for literature reports. All were statistically significantly different (p ≤ 0.05) except for spontaneous versus literature reports (mean difference 2.2%, p = 0.99) and spontaneous reports versus reports from PSPs (-8.6%, p = 0.14).

CONCLUSIONS

For data sources specifically designed for pregnancy data collection, the clinical quality of information generally outweighed sources designed to capture general safety information. EPV methods showed better scores for clinical quality compared to spontaneous reporting data for pregnancy PV.

摘要

目的

良好记录与药物相关的不良事件对于评估安全信号至关重要。目前缺乏关于初次妊娠安全性数据来源临床质量的信息。本研究的目的是评估各种初次妊娠药物警戒(PV)数据来源的临床质量差异。

方法

从以下方面收集了50份孕期药物暴露报告:EudraVigilance的自发报告和文献报告、欧洲致畸学信息服务网络(ENTIS)、荷兰妊娠药物登记处、强化PV项目(EPV)以及患者支持项目(PSP)。报告经过标准化和匿名化处理,之后对其临床质量进行评估。使用方差分析(ANOVA)比较各来源的平均得分。

结果

荷兰妊娠药物登记处的平均临床质量得分为89.0%(标准差10.1%),ENTIS为77.1%(标准差13.3%),EPV为64.7%(标准差20.5%),PSP为49.5%(标准差16.2%),自发报告为40.9%(标准差21.6%),文献报告为38.6%(标准差18.0%)。除自发报告与文献报告(平均差异2.2%,p = 0.99)以及自发报告与PSP报告(-8.6%,p = 0.14)外,所有差异均具有统计学意义(p≤0.05)。

结论

对于专门为收集妊娠数据而设计的数据源,其信息的临床质量总体上超过旨在获取一般安全信息的数据源。与用于妊娠PV的自发报告数据相比,EPV方法在临床质量方面得分更高。

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本文引用的文献

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Real-World evidence revelations: The potential of patient support programmes to provide data on medication usage.真实世界证据揭示:患者支持项目在提供药物使用数据方面的潜力。
PLoS One. 2024 Feb 8;19(2):e0295226. doi: 10.1371/journal.pone.0295226. eCollection 2024.
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Validation of a Novel Method to Assess the Clinical Quality of Information in Pregnancy-Related Pharmacovigilance Case Reports: A ConcePTION Project.评估妊娠相关药物警戒病例报告中临床信息质量的新方法的验证: ConcePTION 项目。
Drug Saf. 2024 Mar;47(3):261-270. doi: 10.1007/s40264-023-01389-y. Epub 2024 Jan 6.
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Improving Data Collection in Pregnancy Safety Studies: Towards Standardisation of Data Elements in Pregnancy Reports from Public and Private Partners, A Contribution from the ConcePTION Project.
改善妊娠安全性研究的数据收集:实现公共和私人合作伙伴妊娠报告中数据元素的标准化,CONCEPTION 项目的贡献。
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BERT based natural language processing for triage of adverse drug reaction reports shows close to human-level performance.基于BERT的自然语言处理用于药物不良反应报告的分诊,表现出接近人类水平的性能。
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Finding Needles in the Haystack: Clinical Utility Score for Prioritisation (CUSP), an Automated Approach for Identifying Spontaneous Reports with the Highest Clinical Utility.从海量数据中发现关键信息:临床效用评分用于优先级排序(CUSP),这是一种自动识别具有最高临床效用的自发报告的方法。
Drug Saf. 2023 Sep;46(9):847-855. doi: 10.1007/s40264-023-01327-y. Epub 2023 Aug 3.
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Core Data Elements for Pregnancy Pharmacovigilance Studies Using Primary Source Data Collection Methods: Recommendations from the IMI ConcePTION Project.使用初级源数据采集方法进行妊娠药物警戒研究的核心数据元素:来自 IMI ConcePTION 项目的建议。
Drug Saf. 2023 May;46(5):479-491. doi: 10.1007/s40264-023-01291-7. Epub 2023 Mar 28.
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Development of a multivariate prediction model to identify individual case safety reports which require clinical review.开发一种多变量预测模型,以识别需要临床审查的个体病例安全报告。
Pharmacoepidemiol Drug Saf. 2022 Dec;31(12):1300-1307. doi: 10.1002/pds.5553. Epub 2022 Oct 21.
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Scientific, ethical, and legal considerations for the inclusion of pregnant people in clinical trials.将孕妇纳入临床试验的科学、伦理和法律考虑因素。
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A Landscape Analysis of Post-Marketing Studies Registered in the EU PAS Register and ClinicalTrials.gov Focusing on Pregnancy Outcomes or Breastfeeding Effects: A Contribution from the ConcePTION Project.欧盟 PAS 注册库和 ClinicalTrials.gov 中注册的上市后研究的景观分析,重点关注妊娠结局或母乳喂养影响:来自 ConcePTION 项目的贡献。
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