ArticleJournal of evidence-based medicine2025
Can Real-World Data From Hospital Information Systems Be Directly Utilized for Efficacy Studies: An Analysis of Data Time Points.
Article in Journal of evidence-based medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Can Real-World Data From Hospital Information Systems Be Directly Utilized for Efficacy Studies: An Analysis of Data Time Points.Journal of evidence-based medicine · 2025Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
backgroundData from Hospital Information Systems are crucial components of real-world data, but concerns arise regarding the transparency of measurement time-points when directly utilizing for efficacy studies. The objective of the study was to analyze the distribution characteristics of time-points for laboratory test records from HIS.
methodMedical records before December 31, 2019 from Affiliated Hospital of Shandong University of Traditional Chinese Medicine, for patients primarily diagnosed with coronary heart disease (CHD), or heart failure combined with secondary diagnosis of CHD were retrieved from HIS. Fifteen test groups were extracted. The number of records, average of test times, and distribution characteristics of time points were analyzed.
resultsThe renal function tests have the most records, and the blood glucose have the most times. Tests time-points distribution showed concentration in the early stage of hospitalization, with the majority occurring within the first 0-10%. For those measured ≥2 times, their first tests are also centrally distributed in the early stage, while the lasts in all period of hospitalization. Besides, substantial difference is showed in the time span of the first and last test. Abnormal value may be a trigger that promotes more intensive examination, and normal or abnormal status of the first examination is significantly weak to moderate correlated with the number of examinations and time span. DISCUSSION: The disclosure of time-points of clinical studies based on HIS should be encouraged and the pre-survey of data measuring time point is essential to the design of trial.
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