OPEN ACCESS pISSN 2234-3806
eISSN 2234-3814

Cited by CrossRef (9)

  1. George Kuo, Jia-Jin Chen, Chieh-Li Yen, Pei-Chun Fan, Cheng-Chia Lee, Chih-Hsiang Chang. Association between early, small creatinine elevation and severe acute kidney injury in critically ill adult patients. Journal of Critical Care 2022;72:154142
    https://doi.org/10.1016/j.jcrc.2022.154142
  2. Seunghoo Lee, Joonsang Yu, Chan-Ik Cho, Eun-Jung Cho, Tae-Dong Jeong, Sollip Kim, Woochang Lee, Sail Chun, Won-Ki Min. Impact of Academia-Government Collaboration on Laboratory Medicine Standardization in South Korea: analysis of eight years creatinine proficiency testing experience. 2024;62:861
    https://doi.org/10.1515/cclm-2023-1160
  3. Sollip Kim, Eun-Jung Cho, Tae-Dong Jeong, Hyung-Doo Park, Yeo-Min Yun, Kyunghoon Lee, Yong-Wha Lee, Sail Chun, Won-Ki Min. Proposed Model for Evaluating Real-world Laboratory Results for Big Data Research. Ann Lab Med 2023;43:104
    https://doi.org/10.3343/alm.2023.43.1.104
  4. Tae-Dong Jeong, Jinyoung Hong, Woochang Lee, Sail Chun, Won-Ki Min. Accuracy of the New Creatinine-based Equations for Estimating Glomerular Filtration Rate in Koreans. Ann Lab Med 2023;43:244
    https://doi.org/10.3343/alm.2023.43.3.244
  5. Tae-Dong Jeong. Accuracy of Creatinine Assay According to Expanded Proficiency Testing in Participants. J Lab Med Qual Assur 2022;44:199
    https://doi.org/10.15263/jlmqa.2022.44.4.199
  6. Tae-Dong Jeong, Yeo-Min Yun. Report of the Korean Association of External Quality Assessment Service on Accuracy-Based Creatinine Testing in Korea (2020–2021). J Lab Med Qual Assur 2022;44:136
    https://doi.org/10.15263/jlmqa.2022.44.3.136
  7. Namhee Kim, Yein Kim, Jeongeun Park, Jungsoo Choi, Hyunyong Hwang. Evaluation of automated calibration and quality control processes using the Aptio total laboratory automation system . KMJ 2022;37:342
    https://doi.org/10.7180/kmj.22.144
  8. Tae-Dong Jeong. Annual Report of the Korean Association of External Quality Assessment Service on Accuracy-Based Creatinine Testing (2022). J Lab Med Qual Assur 2023;45:10
    https://doi.org/10.15263/jlmqa.2023.45.1.10
  9. Sollip Kim. Laboratory Data Quality Evaluation in the Big Data Era. Ann Lab Med 2023;43:399
    https://doi.org/10.3343/alm.2023.43.5.399