Evidence map›Paper›PMID 35191230›Full record

ArticleJournal of Korean medical science2022

Sodium-Glucose Cotransporter-2 Inhibitor-Related Diabetic Ketoacidosis: Accuracy Verification of Operational Definition.

Dong Yoon Kang, Hyunah Kim, SooJeong Ko, HyungMin Kim, Jiwon Shinn, Min-Gyu Kang, Sun-Ju Byeon, Jeong-Hee Choi, Soo-Yong Shin, Hun-Sung Kim

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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.

Dong Yoon KangDrug Safety Monitoring Center, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0003-4283-2633
Hyunah KimCollege of Pharmacy, Sookmyung Women's University, Seoul, Korea.ORCID https://orcid.org/0000-0002-5533-2040
SooJeong KoDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-6550-9188
HyungMin KimDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-2824-0535
Jiwon ShinnDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-9131-6128
Min-Gyu KangDivision of Allergy and Clinical Immunology, Departmemt of Internal Medicine, Chungbuk National University Hospital, Chungbuk National College of Medicine, Cheongju, Korea.ORCID https://orcid.org/0000-0002-3239-4492
Sun-Ju ByeonDepartment of Pathology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea.ORCID https://orcid.org/0000-0002-9599-4970
Jeong-Hee ChoiDepartment of Pulmonology and Allergy, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea.ORCID https://orcid.org/0000-0002-0599-875X
Soo-Yong ShinDepartment of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.ORCID https://orcid.org/0000-0002-2410-6120
Hun-Sung KimDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-7002-7300

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe most important aspect of a retrospective cohort study is the operational definition (OP) of the disease. We developed a detailed OP for the detection of sodium-glucose cotransporter-2 inhibitors (SGLT2i) related to diabetic ketoacidosis (DKA). The OP was systemically verified and analyzed.

methodsAll patients prescribed SGLT2i at four university hospitals were enrolled in this experiment. A DKA diagnostic algorithm was created and distributed to each hospital; subsequently, the number of SGLT2i-related DKAs was confirmed. Then, the algorithm functionality was verified through manual chart reviews by an endocrinologist using the same OP.

resultsA total of 8,958 patients were initially prescribed SGLT2i. According to the algorithm, 0.18% (16/8,958) were confirmed to have SGLT2i-related DKA. However, based on manual chart reviews of these 16 cases, there was only one case of SGLT2i-related DKA (positive predictive value = 6.3%). Even after repeatedly narrowing the diagnosis range of the algorithm, the effect of a positive predictive value was insignificant (6.3-10.0%,

conclusionOwing to the nature of electronic medical record data, we could not create an algorithm that clearly differentiates SGLT2i-related DKA despite repeated attempts. In all retrospective studies, a portion of the samples should be randomly selected to confirm the accuracy of the OP through chart review. In retrospective cohort studies in which chart review is not possible, it will be difficult to guarantee the reliability of the results.

Indexed as

Diabetes Mellitus, Type 2Diabetic KetoacidosisSodium-Glucose Transporter 2 InhibitorsGlucoseHumansReproducibility of ResultsRetrospective StudiesSodiumGlucoseSodiumSodium-Glucose Transporter 2 InhibitorsCohort StudiesDiabetes ComplicationsDiabetes Mellitus, Type 2Diabetic KetoacidosisSodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID35191230
PMCPMC8860766

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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.