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N Engl J Med. 2021 Sep 16;385(12):1078-1090. doi: 10.1056/NEJMoa2110475. Epub 2021 Aug 25.
3
Integrating Real-World Evidence in the Regulatory Decision-Making Process: A Systematic Analysis of Experiences in the US, EU, and China Using a Logic Model.在监管决策过程中整合真实世界证据:使用逻辑模型对美国、欧盟和中国的经验进行系统分析。
Front Med (Lausanne). 2021 May 31;8:669509. doi: 10.3389/fmed.2021.669509. eCollection 2021.
4
Real-world data in Saudi Arabia: Current situation and challenges for regulatory decision-making.沙特阿拉伯的真实世界数据:监管决策的现状和挑战。
Pharmacoepidemiol Drug Saf. 2020 Oct;29(10):1303-1306. doi: 10.1002/pds.5025. Epub 2020 May 27.
5
Use of real-world evidence in regulatory decisions for rare diseases in the United States-Current status and future directions.利用真实世界证据支持美国罕见病监管决策:现状与未来方向
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6
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8
Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9 edition.2019 年全球及各区域糖尿病患病率估算值及 2030 年和 2045 年预测值:国际糖尿病联盟糖尿病地图集(第 9 版)的结果。
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9
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在沙特中央标准化数据库中记录 2 型糖尿病:一项回顾性验证研究。

Recording type 2 diabetes mellitus in a standardised central Saudi database: a retrospective validation study.

机构信息

Research Informatics Department, Saudi Food and Drug Authority, Riyadh, Saudi Arabia.

College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.

出版信息

BMJ Open. 2023 Mar 21;13(3):e065468. doi: 10.1136/bmjopen-2022-065468.

DOI:10.1136/bmjopen-2022-065468
PMID:36944455
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10032409/
Abstract

OBJECTIVES

This study was conducted to assess the validity of recording (and the original diagnostic practice) of type 2 diabetes mellitus at a hospital whose records were integrated to a centralised database (the standardised common data model (CDM) of the Saudi National Pharmacoepidemiologic Database (NPED)).

DESIGN

A retrospective single-centre validation study.

SETTINGS

Data of the study participants were extracted from the CDM of the NPED (only records of one tertiary care hospital were integrated at the time of the study) between 1 January 2013 and 1 July 2018.

PARTICIPANTS

A random sample of patients with type 2 diabetes mellitus (≥18 years old and with a code of type 2 diabetes mellitus) matched with a control group (patients without diabetes) based on age and sex.

OUTCOME MEASURES

The standardised coding of type 2 diabetes in the CDM was validated by comparing the presence of diabetes in the CDM versus the original electronic records at the hospital, the recording in paper-based medical records, and the physician re-assessment of diabetes in the included cases and controls, respectively. Sensitivity, specificity, positive predictive value and negative predictive value were estimated for each pairwise comparison using RStudio V.1.4.1103.

RESULTS

A total of 437 random sample of patients with type 2 diabetes mellitus was identified and matched with 437 controls. Only 190 of 437 (43.0%) had paper-based medical records. All estimates were above 90% except for sensitivity and specificity of CDM versus paper-based records (54%; 95% CI 47% to 61% and 68%; 95% CI 62% to 73%, respectively).

CONCLUSIONS

This study provided an assessment to the extent of which only type 2 diabetes mellitus code can be used to identify patients with this disease at a Saudi centralised database. A future multi-centre study would help adding more emphasis to the study findings.

摘要

目的

本研究旨在评估一家医院记录(及原始诊断实践)2 型糖尿病的有效性,该医院的记录已整合到一个集中式数据库中(沙特国家药物流行病学数据库(NPED)的标准化通用数据模型(CDM))。

设计

回顾性单中心验证研究。

设置

研究参与者的数据从 NPED 的 CDM 中提取(研究时仅整合了一家三级保健医院的记录),时间范围为 2013 年 1 月 1 日至 2018 年 7 月 1 日。

参与者

根据年龄和性别与对照组(无糖尿病患者)匹配的 2 型糖尿病患者随机样本(年龄≥18 岁且有 2 型糖尿病代码)。

主要结局测量

通过比较 CDM 中 2 型糖尿病的标准化编码与医院原始电子记录、纸质病历中的记录以及纳入病例和对照中医生对糖尿病的重新评估,验证 CDM 中 2 型糖尿病的编码。使用 RStudio V.1.4.1103 分别估计每种两两比较的敏感性、特异性、阳性预测值和阴性预测值。

结果

共确定了 437 名 2 型糖尿病患者的随机样本,并与 437 名对照匹配。仅有 190/437(43.0%)名患者有纸质病历。除了 CDM 与纸质记录的敏感性和特异性(分别为 54%(95%CI 47%至 61%)和 68%(95%CI 62%至 73%))外,所有估计值均高于 90%。

结论

本研究评估了仅使用 2 型糖尿病代码在沙特集中式数据库中识别该疾病患者的程度。未来的多中心研究将有助于进一步强调研究结果。