Evidence map›Paper›PMID 28256114›Full record

ArticleEndocrinology and metabolism (Seoul, Korea)2017

Development of Clinical Data Mart of HMG-CoA Reductase Inhibitor for Varied Clinical Research.

Hun Sung Kim, Hyunah Kim, Yoo Jin Jeong, Tong Min Kim, So Jung Yang, Sun Jung Baik, Seung Hwan Lee, Jae Hyoung Cho, In Young Choi, Kun Ho Yoon

Abstract read
In one paragraph

Article in Endocrinology and metabolism (Seoul, Korea), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Digital Health Data Quality Issues: Systematic Review.Journal of medical Internet research · 2023
    Pooled it
  2. Article
  3. Clinical Data Warehousing: A Scoping Review.Journal of the Society for Clinical Data Management · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hun Sung KimDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID http://orcid.org/0000-0002-7002-7300
Hyunah KimCollege of Pharmacy, Sookmyung Women's University, Seoul, Korea.
Yoo Jin JeongDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Tong Min KimDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
So Jung YangDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Sun Jung BaikDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Seung Hwan LeeDivision of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Jae Hyoung ChoDivision of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
In Young ChoiDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea. iychoi@catholic.ac.kr.
Kun Ho YoonDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing use of electronic medical record (EMR) systems for documenting clinical medical data has led to EMR data being increasingly accessed for clinical trials. In this study, a database of patients who were prescribed statins for the first time was developed using EMR data. A clinical data mart (CDM) was developed for cohort study researchers.

methodsSeoul St. Mary's Hospital implemented a clinical data warehouse (CDW) of data for ~2.8 million patients, 47 million prescription events, and laboratory results for 150 million cases. We developed a research database from a subset of the data on the basis of a study protocol. Data for patients who were prescribed a statin for the first time (between the period from January 1, 2009 to December 31, 2015), including personal data, laboratory data, diagnoses, and medications, were extracted.

resultsWe extracted initial clinical data of statin from a CDW that was established to support clinical studies; the data was refined through a data quality management process. Data for 21,368 patients who were prescribed statins for the first time were extracted. We extracted data every 3 months for a period of 1 year. A total of 17 different statins were extracted. It was found that statins were first prescribed by the endocrinology department in most cases (69%, 14,865/21,368).

conclusionStudy researchers can use our CDM for statins. Our EMR data for statins is useful for investigating the effectiveness of treatments and exploring new information on statins. Using EMR is advantageous for compiling an adequate study cohort in a short period.

Indexed as

Clinical data martClinical data warehouseElectronic health recordsHydroxymethylglutaryl-CoA reductase inhibitors

Identifiers

PMID28256114
PMCPMC5368128

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.