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. 2025 Feb 19;33(1):19–26. doi: 10.12793/tcp.2025.33.e2

Clinical data warehouse analysis of clinical laboratory test results of Korean healthy volunteers: does “not clinically significant” range of healthy volunteers need modification?

Cheol Joong Kim 1,2, Tak Don Kim 1,2, Ye Chan Park 1,2, Jin-Gyu Jung 3, Jung Sunwoo 1,, Jang Hee Hong 1,4,
PMCID: PMC11976152  PMID: 40206872

Abstract

This study analyzed clinical laboratory test results of healthy Korean volunteers screened for Phase 1 clinical trials at Chungnam National University Hospital. Data from 53 trials conducted between 2019 and 2023 were extracted from the Clinical Data Warehouse and included tests such as white blood cell count, hemoglobin, aspartate aminotransferase, alanine aminotransferase, and creatinine. The study aimed to evaluate whether current ranges for “not clinically significant (NCS)” values need modification. Results showed that NCS values often varied between studies, with temporary deviations from normal ranges being common among healthy volunteers, especially those engaged in activities such as heavy weight training or recent dietary excess. Comparative pharmacokinetics and bioequivalence studies made up the majority of trials. The analysis highlighted discrepancies in laboratory criteria application, with implications for screening failure rates. The findings suggest that stricter guidelines might exclude otherwise eligible participants unnecessarily. Establishing consistent NCS criteria could optimize screening and reduce variability across clinical sites. This is the first study to provide insights into clinical lab results for healthy Korean volunteers, emphasizing the need for tailored NCS guidelines in Phase 1 trials.

Keywords: Clinical Laboratory Techniques; Healthy Volunteers; Clinical Trial, Phase I; Reference Values; Data Warehousing

INTRODUCTION

In Phase 1 clinical trial screening, clinical laboratory tests are essential components of the basic evaluation of volunteers. The clinical laboratory test items typically include white blood cell count, hemoglobin concentration, platelet count, aspartate aminotransferase (AST), alanine aminotransferase (ALT), creatinine, and urine dipstick analysis. These items have well-established normal ranges.

However, a slight deviation from the normal range does not necessarily indicate an abnormal condition in volunteers. The determination of an abnormal condition or eligibility for participation in a clinical trial requires a comprehensive evaluation of various factors, including clinical laboratory test results, physical examination, medical history, and blood pressure. Laboratory test values may temporarily fall outside the normal range. Therefore, if the abnormal values are deemed not clinically significant (NCS), volunteers may still be allowed to participate in the Phase 1 clinical trial. The Common Terminology Criteria for Adverse Events (CTCAE) grading system is internationally recognized as the standard evaluating adverse events [1,2]. However, applying the CTCAE laboratory criteria directly to the screening of healthy adult volunteers in Phase 1 clinical trials remains controversial. Among healthy adults, it is common for individuals who engage in heavy weight training to present for screening when their creatine phosphokinase (CPK) and lactate dehydrogenase (LDH) levels have not fully returned to baseline. There are also cases where individuals undergo screening when their triglyceride (TG) and AST/ALT levels have not returned to baseline following a single episode of excessive consumption of fatty foods and alcohol.

The NCS range for healthy participants in a Phase 1 clinical trial can be determined with a certain degree of discretion by the investigator, depending on the study. As a result, the NCS range may vary slightly between institutions and studies.

There are limited studies on the clinical laboratory test results of volunteers in Phase 1 clinical trials. Sibille et al. [3] analyzed laboratory data from 927 healthy male volunteers to establish reference values, reference changes, and limits for screening and laboratory adverse events (LAE) in Phase 1 clinical trials. The research highlighted the importance of specific inclusion limits and LAE thresholds to differentiate between normal variations and significant abnormalities during trials. Deiteren et al. [4] retrospectively analyzed data from 3,365 healthy volunteers who participated in 9,670 screening visits for Phase 1 clinical trials to assess how predefined eligibility criteria impact screen failure rates. It was found that strict ranges for cardiovascular, renal, liver, and coagulation parameters often led to high screen failure rates, suggesting that many healthy individuals were excluded unnecessarily.

A retrospective study was considered necessary to establish minimum criteria for setting the NCS range. Accordingly, clinical laboratory test data of healthy Korean adults who volunteered for clinical trials at Chungnam National University Hospital were extracted and analyzed using the hospital’s Clinical Data Warehouse (CDW). This study is the first to examine the clinical laboratory test results of Korean volunteers screened for Phase 1 clinical trials conducted in Republic of Korea.

METHODS

Ethics review

This study was reviewed and approved by the Institutional Review Board (IRB) of Chungnam National University Hospital (IRB No. 2024-10-039).

Data extraction

The analysis included all healthy volunteer clinical trials screened at the Clinical Trial Center of Chungnam National University Hospital between January 1, 2019, and December 31, 2023. Only trials with an approved protocol, a protocol number, and a completed database lock were included in the analysis. All trials were conducted with the approval of Institutional Review Board of Chungnam National University Hospital and in accordance with the Helsinki Declaration.

The data extraction algorithm from the CDW was configured using search criteria based on the intersection of outpatient visit dates (January 1, 2019 to December 31, 2023), department code, and the principal investigator’s name.

The output items were set as follows: reception ID, gender, date of birth, date of visit, age at the time of visit, department at the time of visit, attending physician, test code, test name, test form detail item ID, test result (numeric value), test result (positive/negative), and overall test result.

Data cleaning and statistical analysis software

The whole process was conducted in R (version 4.4.1; R Foundation for Statistical Computing, Vienna, Austria) and R Studio (RStudio 2024.04.2+764 "Chocolate Cosmos" Release [e4392fc9ddc21961fd1d0efd47484b43f07a4177, 2024-06-05] for windows, Mozilla/5.0 [Windows NT 10.0; Win64; x64] AppleWebKit/537.36 [KHTML, like Gecko] RStudio/2024.04.2+764 Chrome/120.0.6099.291 Electron/28.3.1 Safari/537.36, Quarto 1.4.555). To isolate screening tests among those performed in the outpatient setting, only data where the order date and test date of the anti-human immunodeficiency virus antibody matched were remained. Follow-up tests conducted after the initial screening were not considered in the analysis.

RESULTS

The 53 Phase 1 clinical trials included in the analysis were further categorized and detailed in Table 1. Comparative pharmacokinetics and bioequivalence studies accounted for 64.1% of the total clinical trials.

Table 1. Detailed overview of clinical trials in the data.

Detailed type of Phase 1 clinical trial No. of trials (%)
Comparative pharmacokinetics 19 (35.8)
Bioequivalence test 15 (28.3)
Drug-drug interaction 8 (15.1)
Food effect 4 (7.5)
First-in-human (single ascending dose and/or multiple ascending dose) 3 (5.7)
Exploratory/proof-of-concept 3 (5.7)
Bridge 1 (1.9)
Total 53 (100)

The data cleaning process is depicted in Fig. 1. Clinical laboratory test results were analyzed for 1,378 male and 203 female volunteers.

Figure 1. Description of the data cleaning process following the extraction of raw data from the Clinical Data Warehouse at Chungnam National University Hospital.

Figure 1

HIV, human immunodeficiency virus.

The demographics of the volunteers are presented in Table 2. Continuous variables are summarized in Tables 3 and 4, while categorical variables are detailed in Table 5. The number of volunteers counted for each variable in Tables 3, 4, 5 varies because the tests included in the screening differ between studies. Due to the significant difference in the mean age between males and females, all statistical analyses were conducted separately for each genderr.

Table 2. Demographics of healthy volunteer population at screening.

Variables Male (n = 1,378) Female (n = 203) Total (n = 1,581)
Age (yr) 25.7 ± 5.8 44.7 ± 16.6 28.3 ± 10.4
Height (cm) 175.2 ± 6.5 158.1 ± 4.8 169.2 ± 10.1
BMI (kg/m2) 24.1 ± 3.4 23.4 ± 3.3 23.9 ± 3.4

BMI, body mass index.

Table 3. Descriptive statistics of continuous laboratory test variables for healthy male volunteers and their corresponding reference ranges.

Laboratory parameter Male (n = 1,378)
No. of tests Arithmetic mean Standard deviation Minimum Median Maximum 2.5th percentile 97.5th percentile Reference range
Complete blood count
White blood cell (103/μL) 1,704 6.6 1.6 3.2 6.3 16.5 4.2 10.3 3.8–10
Red blood cell (106/μL) 422 5.1 0.3 4.2 5.1 6.2 4.5 5.7 4.2–6
Hemoglobin (g/dL) 422 15.4 0.9 10.1 15.4 18.3 13.5 16.9 13.5–17.5
Hematocrit (%) 422 45.1 2.6 31.2 45.2 51.5 40.0 49.5 39–53
Platelets (103/μL) 422 259.5 50.8 108 254 588 173.5 370.8 130–400
Segmented neutrophil (%) 1,704 57.3 8.3 29.1 57 84.6 42.0 74.5 35–74
Lymphocyte (%) 1,704 31.8 7.3 10.1 31.8 59.4 17.1 45.8 20–51
Monocyte (%) 1,704 7.5 1.9 2.3 7.3 25.2 4.4 11.7 3–11
Eosinophil (%) 1,704 2.7 2.2 0 2.2 23.9 0.4 8.4 0–10
Basophil (%) 1,704 0.8 0.4 0 0.7 10.6 0.3 1.5 0–2
Blood chemistry
Total protein (g/dL) 1,704 7.3 0.4 5.9 7.2 10.4 6.6 8.0 6.5–8
Albumin (g/dL) 422 4.5 0.3 3.6 4.5 5.3 4.0 5.1 4.0–5.0
Total cholesterol (mg/dL) 422 186.6 35.5 116 185 342 125 266.5 125–220
Aspartate transaminase (U/L) 422 23.1 12.8 8 21 155 11 52 13–33
Alanine transaminase (U/L) 422 28.1 20.7 7 23 190 9.5 93.4 8–42
Alkaline phosphatase (U/L) 422 65.1 16.7 27 63 133 40 104 40–130
Lactate dehydrogenase (U/L) 422 374.8 88.5 195 361.5 708 241 592.8 200–400
Gamma-glutamyl transferase (U/L) 421 31.1 31.6 7 22 334 9.6 86.5 10–47
Creatine phosphokinase (U/L) 422 190.2 543.3 39 114.5 9,445 60 602.6 56–244
Total bilirubin (mg/dL) 1,702 1.0 0.4 0.2 0.9 4.4 0.4 2 0.2–1.2
Urea nitrogen (mg/dL) 422 12.3 3.3 3.8 12 25 6.8 19.7 8–20
Creatinine (mg/dL) 422 0.9 0.2 0.5 0.9 1.3 0.6 1.2 0.6–1.1
Estimated glomerular filtration rate (MDRD) (mL/min/1.73 m2) 416 111.3 25.6 60 106 214 73.4 174.2 ≥ 90
Estimated glomerular filtration rate (CKD-EPI) (mL/min/1.73 m2) 403 116.3 15.6 67 118 156 82 143 ≥ 90
Phosphorus (mg/dL) 422 3.7 0.5 2.2 3.6 5.3 2.8 4.9 2.5–4.7
Uric acid (mg/dL) 422 6.2 1.5 0.5 6.2 16.9 3.7 9.3 3.5–7.2
Glucose (mg/dL) 1,704 95 8.8 59 95 232 80 110 70–115
Sodium (mEq/L) 422 140 2.4 133 140 158.1 135.7 145 135–150
Potassium (mEq/L) 422 4.3 0.3 3.4 4.3 5.3 3.7 5.0 3.4–5
Chloride (mEq/L) 422 103.1 2.8 92 103 115.7 97.9 108.6 98–110
Urinalysis
Specific gravity 422 1.0199 0.0087 1.0010 1.0210 1.0390 1.0030 1.0335 1.005–1.03
pH 422 6.1 0.7 5.0 6.0 8.5 5.0 7.7 5–9
Coagulation
PT (%) 153 95.9 10.2 71 96 122 77.6 114.8 70–130
PT (INR) 153 1.03 0.07 0.89 1.03 1.25 0.93 1.18 0.80–1.23
aPTT (sec) 153 32.7 2.6 26.7 32.5 40.8 28.2 38.5 25.1–39.7

MDRD, Modification of Diet in Renal Disease; CKD-EPI, Chronic Kidney Disease Epidemiology; INR, international normalized ratio; PT, prothrombin time; aPTT, activated partial thromboplastin time.

Table 4. Descriptive statistics of continuous laboratory test variables for healthy female volunteers and their corresponding reference ranges.

Laboratory parameter Female (n = 203)
No. of tests Arithmetic mean Standard deviation Minimum Median Maximum 2.5th percentile 97.5th percentile Reference range
Complete blood count
White blood cell (103/μL) 231 6.5 1.6 3.3 6.2 12.5 4.0 10.6 3.5–10
Red blood cell (106/μL) 103 4.3 0.3 3.2 4.3 5.2 3.8 4.9 4–5.4
Hemoglobin (g/dL) 103 13.1 0.9 10.4 13.2 15.1 11 14.5 12–16
Hematocrit (%) 103 38.7 2.5 31.4 38.5 43.5 33.4 42.9 36–46
Platelets (103/μL) 103 268.8 60.5 158 264 424 175 383.2 130–400
Segmented neutrophil (%) 231 54.6 9.9 29.2 54.4 83.9 35.7 73.8 35–74
Lymphocyte (%) 231 36 9.2 10.7 36.5 58.3 20.1 54.6 20–51
Monocyte (%) 231 6.3 1.6 2.9 6.2 11.2 3.7 9.6 3–11
Eosinophil (%) 231 2.3 2.2 0.1 1.6 17.1 0.5 7.9 0–10
Basophil (%) 231 0.8 0.4 0.1 0.7 2.7 0.3 1.7 0–2
Blood chemistry
Total protein (g/dL) 231 7.1 0.4 6.1 7.1 8.2 6.5 7.9 6.5–8
Albumin (g/dL) 103 4.2 0.3 3.3 4.2 5.1 3.7 4.8 4.0–5.0
Total cholesterol (mg/dL) 103 200.9 35.5 124 198 292 137.6 261.8 125–220
Aspartate transaminase (U/L) 103 23.4 11.9 8 21 95 10.1 51.5 13–33
Alanine transaminase (U/L) 103 22.1 16.8 6 17 112 7 69.6 6–27
Alkaline phosphatase (U/L) 102 66.4 19.7 36 63 127 38.5 108.8 35–105
Lactate dehydrogenase (U/L) 103 419.7 98.9 253 411 698 277.6 644.2 200–400
Gamma-glutamyl transferase (U/L) 103 22.2 15.2 7 17.6 118.7 7.5 59.6 10–47
Creatine phosphokinase (U/L) 103 96.5 46.3 36 86 301 46.6 227.6 43–165
Total bilirubin (mg/dL) 228 0.8 0.3 0.2 0.7 2.1 0.3 1.4 0.2–1.2
Urea nitrogen (mg/dL) 103 12.1 3.8 5.3 11.4 24 6.7 20.5 8–20
Creatinine (mg/dL) 103 0.6 0.1 0.3 0.6 0.9 0.4 0.8 0.4–0.8
Estimated glomerular filtration rate (MDRD) (mL/min/1.73 m2) 103 121.3 34.2 67 117 294 77 197.6 ≥ 90
Estimated glomerular filtration rate (CKD-EPI) (mL/min/1.73 m2) 103 115.3 18.7 76 114 167 80.6 144 ≥ 90
Phosphorus (mg/dL) 103 3.8 0.5 2.4 3.8 5.2 2.7 4.8 2.5–4.7
Uric acid (mg/dL) 103 4.4 1.2 1.9 4.3 8.1 2.5 7.3 2.6–6
Glucose (mg/dL) 231 94.9 8.1 78 95 126 81 115 70–115
Sodium (mEq/L) 103 139.6 2.6 134 139.6 145 134.4 144 135–150
Potassium (mEq/L) 103 4.2 0.3 3.5 4.2 5.1 3.6 4.7 3.4–5
Chloride (mEq/L) 103 105 2.5 97.5 105.3 110 99.6 109 98–110
Urinalysis
Specific gravity 103 1.0161 0.0080 1.0020 1.0160 1.0340 1.0030 1.0319 1.005–1.03
pH 103 6.0 0.8 5.0 6.0 7.5 5.0 7.5 5–9
Coagulation
PT (%) 24 94.5 8.1 83 95 112 84.2 112 70–130
PT (INR) 24 1.04 0.05 0.94 1.04 1.13 0.94 1.12 0.80–1.23
aPTT (sec) 24 32.9 3.3 27.5 32.8 41.2 27.7 39.4 25.1–39.7

MDRD, Modification of Diet in Renal Disease; CKD-EPI, Chronic Kidney Disease Epidemiology; INR, international normalized ratio; PT, prothrombin time; aPTT, activated partial thromboplastin time.

Table 5. Descriptive statistics of categorical laboratory test variables for healthy volunteers and their corresponding reference values.

Laboratory parameter Male (n = 1,378) Female (n = 203)
No. of tests No. of tests by outcome Reference value No. of tests No. of tests by outcome Reference value
Urinalysis
Protein 1,704 Negative: 1,506 Negative 231 Negative: 214 Negative
+/−: 154 +/−: 11
1+: 35 1+: 4
2+: 7 2+: 2
3+: 1
4+: 1
White blood cell (/HPF) 1,667 0–2: 1,591 0–2 231 0–2: 160 0–2
3–5: 51 3–5: 33
6–10: 13 6–10: 15
11–20: 4 11–20: 15
21–50: 5 21–50: 6
Many: 3 Many: 2
Red blood cell (/HPF) 1,667 0–2: 1,624 0–2 231 0–2: 204 0–2
3–5: 23 3–5: 17
6–10: 5 6–10: 4
11–20: 6 11–20: 3
21–50: 5 21–50: 1
Many: 4 Many: 2
Squamous epithelial cell (/HPF) 1,667 0–2: 6 0–5 231 0–5: 203 0-5
0–5: 1,657 6–10: 14
3–5: 1 11–20: 9
6–10: 1 21–30: 3
11–20: 2 Many: 2
Glucose 1,704 Negative: 1,696 Negative 231 Negative: 231 Negative
+/−: 4
1+: 2
2+: 1
3+: 1
Ketone 1,704 Negative: 1,361 Negative 231 Negative: 196 Negative
+/−: 297 +/−: 25
1+: 33 1+: 7
2+: 6 2+: 1
3+: 6 3+: 2
4+: 1
Bilirubin 1,704 Negative: 1,612 Negative 231 Negative: 228 Negative
1+: 88 1+: 3
2+: 4
Erythrocyte 1,704 Negative: 1,636 Negative 231 Negative: 181 Negative
+/−: 40 +/−: 25
1+: 14 1+: 9
2+: 9 2+: 12
3+: 5 3+: 4
Nitrite 1,704 Negative: 1,704 Negative 231 Negative: 229 Negative
Positive: 2
Urobilinogen 1,704 Negative: 4 +/− 231 +/−: 231 +/−
+/−: 1,696
1+: 4
Leukocyte 1,704 Negative: 1,551 Negative 231 Negative: 120 Negative
+/−: 112 +/−: 51
1+: 32 1+: 27
2+: 9 2+: 25
3+: 8
Bacteria 176 Few: 160 Not applicable 58 Few: 45 Not applicable
Moderate: 16 Moderate: 12
Many: 1
Serology
Rapid plasma reagin antibody (RU) 1,702 Negative: 1,701 Negative 231 Negative: 230 Negative
Gray zone: 1 Positive: 1
Anti human immunodeficiency virus antibody (Signal-to-cutoff ratio) 1,703 Negative: 1,702 Negative 231 Negative: 231 Negative
Positive: 1

The results were presented exactly as reported by the Department of Laboratory Medicine at Chungnam National University Hospital.

DISCUSSION

This study is significant as it is the first to analyze clinical laboratory tests conducted during the screening of healthy Korean volunteers participating in Phase 1 clinical trials. The ranges of clinical laboratory test results deemed “NCS” vary slightly between institutions and studies. Therefore, the findings of this study can provide valuable guidance for establishing criteria for what is considered “NCS.”

The NCS criteria can be influenced by various factors, including volunteers’ lifestyle and temporary physical conditions. Therefore, setting more flexible and context-appropriate standards may be necessary. For test results that significantly deviate from the reference range, a practical approach often involves re-testing. However, even if the results do not completely fall within the reference range after 2 or more re-tests, volunteers may still be allowed to participate in the clinical trial based on the investigator’s judgment and the healthy condition of the volunteer. Prior to the initiation of the clinical trial, it is crucial for the sponsor, clinical research organization, and investigators to collaboratively discuss and establish NCS ranges. This approach ensures that the clinical trial is conducted in a scientifically sound and ethically responsible manner.

Based on the statistical analysis results of this study, proposed NCS ranges for certain laboratory tests in male and female participants in clinical trials involving healthy subjects are presented in Table 6. For test items like white blood cell count or estimated glomerular filtration rate, where values outside the reference range may indicate infection or renal impairment, NCS ranges were not proposed in Table 6. NCS ranges were proposed only for test items deemed potentially controversial based on the authors’ expertise and judgment.

Table 6. Proposal for adjusted not clinically significant clinical laboratory test ranges in clinical trials involving healthy adults.

Laboratory parameter Male Female
Reference Proposed not clinically significant range/value Reference Proposed not clinically significant range/value
Blood chemistry
Albumin (g/dL) 4.0–5.0 4.0–5.1 4.0–5.0 3.7–5.0
Total cholesterol (mg/dL) 125–220 125–266.5 125–220 125–261.8
Lactate dehydrogenase (U/L) 200–400 200–592.8 200–400 200–644.2
Creatine phosphokinase (U/L) 56–244 56–602.6 43–165 43–227.6
Total bilirubin (mg/dL) 0.2–1.2 0.2–2.0 0.2–1.2 0.2–1.4
Urea nitrogen (mg/dL) 8–20 6.8–20 8–20 6.7–20.5
Creatinine (mg/dL) 0.6–1.1 0.6–1.2 0.4–0.8 0.4–0.8 (same as reference)
Phosphorus (mg/dL) 2.5–4.7 2.5–4.9 2.5–4.7 2.5–4.8
Uric acid (mg/dL) 3.5–7.2 3.5–9.3 2.6–6.0 2.5–7.3
Urinalysis
Protein Negative Negative, +/−, 1+ Negative Negative
White blood cell (/HPF) 0–2 0–2, 3–5 0–2 0–2, 3–5, 6–10, 11–20
Red blood cell (/HPF) 0–2 0–2, 3–5 0–2 0–2, 3–5, 6–10
Squamous epithelial cell (/HPF) 0–5 0–5 (same as reference) 0–5 0–5, 6–10
Ketone Negative Negative, +/−, 1+ Negative Negative, +/−
Bilirubin Negative Negative, 1+ Negative Negative (same as reference)
Erythrocyte Negative Negative, +/− Negative Negative, +/−, 1+
Leukocyte Negative Negative, +/− Negative Negative, +/−, 1+, 2+
Bacteria - - Not applicable Few, Many, Moderate

Only laboratory test items deemed potentially controversial in clinical trials involving healthy subjects were presented. If the lower limit of the reference range was smaller than the 2.5th percentile value, the lower limit of the proposed range/value was suggested as the lower limit of the reference range. If the 97.5th percentile value exceeded the upper limit of the reference range, the upper limit of the proposed range/value was suggested as the 97.5th percentile value. The proposed range/value was suggested within a range/value where the number of tests did not exceed 2.5% of the number of tests for each laboratory test item in Table 5.

This study has several limitations. First, it utilizes volunteer data from a single clinical trial site. Second, the data include all subjects who participated in the screening, regardless of whether they passed or failed the screening criteria. Third, the use of anonymized data prevented the identification of duplicated participants. Additionally, this study is based on screening results from clinical trials involving healthy volunteers, making it challenging to directly apply these findings to clinical trials involving patient populations.

ACKNOWLEDGMENTS

We would like to express our gratitude to all the individuals who volunteered their time to participate in clinical trials conducted by Chungnam National University Hospital Clinical Trials Center.

Footnotes

Funding: This work was financially supported by research fund of Chungnam National University.

Conflict of Interest: - Authors: Nothing to declare

- Reviewers: Nothing to declare

- Editors: Nothing to declare

Reviewer: This article was reviewed by peer experts who are not TCP editors.

Author Contributions:
  • Conceptualization: Kim TD, Sunwoo J.
  • Data curation: Kim TD.
  • Formal analysis: Kim TD, Sunwoo J.
  • Funding acquisition: Jung JG, Hong JH.
  • Investigation: Kim CJ, Kim TD, Park YC.
  • Methodology: Park YC.
  • Project administration: Sunwoo J.
  • Resources: Kim TD, Hong JH.
  • Supervision: Sunwoo J.
  • Validation: Sunwoo J.
  • Writing - original draft: Kim CJ.
  • Writing - review & editing: Sunwoo J.

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