Evidence map›Paper›PMID 34971827›Full record

Observational studyBiomedical journal2022

Discharge status validation of the Chang Gung Research database in Taiwan.

Yu-Tung Huang, Ying-Jen Chen, Shang-Hung Chang, Chang-Fu Kuo, Mei-Hua Chen

Abstract readObservational Study
In one paragraph

Observational study in Biomedical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

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  6. Significant Decline in HCV-Related Mortality From Liver Cirrhosis and Chronic Liver Disease (2015-2022): A Sentinel Center Study.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Article
  7. Performance of DOAC and HAS-BLED scores in predicting major bleeding in Asian patients with non-valvular atrial fibrillation receiving direct oral anticoagulants.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
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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

5 authors.

Yu-Tung HuangCenter for Big Data Analytics and Statistics, Department of Medical Research and Development, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
Ying-Jen ChenDivision of Geriatrics and General Internal Medicine, Department of Internal Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan; School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Shang-Hung ChangCenter for Big Data Analytics and Statistics, Department of Medical Research and Development, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan; School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Division of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan.
Chang-Fu KuoSchool of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Division of Rheumatology, Allergy and Immunology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan; Center for Artificial Intelligence in Medicine, Department of Medical Research and Development, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan. Electronic address: zandis@gmail.com.
Mei-Hua ChenDepartment of Geriatrics and Gerontology, National Cheng Kung University Hospital, Tainan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Chang Gung Research Database (CGRD) is the largest multi-institutional electronic medical records database in Taiwan and has been widely used to establish evidence studies. However, the accuracy of CGRD has rarely been validated. This study aims to validate the discharge status, especially with a focus on mortality, of admission data under CGRD.

methodsWe constructed an observational study using CGRD linked with TDR to validate the discharge status. The CGRD and TDR data were obtained from the Chang Gung Memorial Hospital system and the Health and Welfare Data Science Center, respectively. The accuracy, positive predictive value (PPV), and underestimated mortality rate (UEM) were employed as indicators for validation. Year, sex, age, and the primary cause for admission (PCA) were analyzed.

resultsA total of 1,972,044 admission records under CGRD were analyzed. The overall accuracy for mortality coding on discharge status was higher than 97% within one week after discharge. The accuracy increased by year and was more than 98% after 2010. A similar result was observed in UEM; the UEM within one week was lower than 10% after 2010. These indicators varied by age group and PCA-elderly patients had relatively lower accuracy and higher UEM (approximately 11%). The presence of UEM within one week was better but varied by disease.

conclusionsConsidering the data accuracy and UEM discharge status, prioritizing the use of inpatient data after 2010 under CGRD for mortality outcome follow-up studies is recommended.

Indexed as

Data ManagementPatient DischargeAgedHospitalizationHospitalsHumansTaiwanChang Gung research databaseDischarge statusUnderestimated mortality rateValidation

Identifiers

PMID34971827
PMCPMC9795345

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.