Association Between the CALLY Index and Carotid Artery Stenosis Severity in Patients Younger and Older than 65 Years
Abstract
1. Introduction
2. Materials and Methods
2.1. Ethical Approval
2.2. Study Design
2.3. Data Collection
2.4. Ultrasound Evaluation
2.5. Statistical Analysis
3. Results
3.1. Comparison Between the Under-65 and 65-and-Above Groups
3.2. Relationship of the CALLY Index with Carotid Stenosis in the Under-65 Group
3.3. Relationship of the CALLY Index with Carotid Stenosis in the 65-and-Above Group
3.4. Association Between the CALLY Index and Stenosis Severity
3.5. Association of Baseline Characteristics with Carotid Stenosis
3.6. Multivariable Logistic Regression Analysis
3.7. Multivariable Linear Regression Analysis
4. Discussion
Strengths and Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| CALLY | C-reactive protein–albumin–lymphocyte index |
| CRP | C-reactive protein |
| CIMT | Carotid intima–media thickness |
| US | Ultrasonography |
| ROC | Receiver operating characteristic |
| AUC | Area under the curve |
| CI | Confidence interval |
| OR | Odds ratio |
| SD | Standard deviation |
| SE | Standard error |
| SPSS | Statistical Package for the Social Sciences |
References
- Nicolaides, A.; Kakkos, S.; Griffin, M.; Sabetai, M.; Dhanjil, S.; Tegos, T.; Thomas, D.; Giannoukas, A.; Geroulakos, G.; Georgiou, N.; et al. Severity of asymptomatic carotid stenosis and risk of ipsilateral hemispheric ischaemic events: Results from the ACSRS study. Eur. J. Vasc. Endovasc. Surg. 2005, 30, 275–284. [Google Scholar] [CrossRef]
- Yurdakul, S.; Aytekin, S. Doppler ultrasound imaging of the carotid and vertebral arteries. Arch. Turk. Soc. Cardiol. 2011, 39, 508–517. [Google Scholar] [CrossRef]
- Fernández-Alvarez, V.; Sánchez, M.L.; Alvarez, F.L.; Nieto, C.S.; Mäkitie, A.A.; Olsen, K.D.; Ferlito, A. Evaluation of intima-media thickness and arterial stiffness as early ultrasound biomarkers of carotid artery atherosclerosis. Cardiol. Ther. 2022, 11, 231–247. [Google Scholar] [CrossRef]
- Yang, M.; Lin, S.-Q.; Liu, X.-Y.; Tang, M.; Hu, C.-L.; Wang, Z.-W.; Zhang, Q.; Zhang, X.; Song, M.-M.; Ruan, G.-T.; et al. Association between C-reactive protein-albumin-lymphocyte (CALLY) index and overall survival in patients with colorectal cancer: From the investigation on nutrition status and clinical outcome of common cancers study. Front. Immunol. 2023, 14, 1131496. [Google Scholar] [CrossRef]
- Zhu, D.; Lin, Y.-D.; Yao, Y.-Z.; Qi, X.-J.; Qian, K.; Lin, L.-Z. Negative association of C-reactive protein-albumin-lymphocyte index (CALLY index) with all-cause and cause-specific mortality in patients with cancer: Results from NHANES 1999–2018. BMC Cancer 2024, 24, 1499. [Google Scholar] [CrossRef] [PubMed]
- Han, D.; Wu, L.; Zhou, H.; Xue, Y.; He, S.; Ma, Z.; Su, S.; Li, P.; Liu, S.; Huang, Z. Associations of the C-reactive protein-albumin-lymphocyte index with all-cause and cardiovascular mortality among individuals with cardiovascular disease: Evidence from the NHANES 2001–2010. BMC Cardiovasc. Disord. 2025, 25, 144. [Google Scholar] [CrossRef] [PubMed]
- Ye, J.; Chen, L.; Xu, D.; Li, R.; Lan, R.; Chen, S.; He, X.; Lin, M. Inverse association between CALLY index and angina pectoris in US adults: A population-based study. BMC Cardiovasc. Disord. 2025, 25, 94. [Google Scholar] [CrossRef]
- Güven, B.; Deniz, M.F.; Geylan, N.A.; Kültürsay, B.; Dönmez, A.; Bulat, Z.; Gül, Ö.B.; Kaya, M.; Oktay, V. A novel indicator of all-cause mortality in acute coronary syndrome: The CALLY index. Biomark. Med. 2025, 19, 287–294. [Google Scholar] [CrossRef]
- Ferrucci, L.; Fabbri, E. Inflammageing: Chronic inflammation in ageing, cardiovascular disease, and frailty. Nat. Rev. Cardiol. 2018, 15, 505–522. [Google Scholar] [CrossRef] [PubMed]
- Ley, K. Inflammation and atherosclerosis. Cells 2021, 10, 1197. [Google Scholar] [CrossRef]
- Liu, Y.; Zhu, B.; Zhou, W.; Du, Y.; Qi, D.; Wang, C.; Cheng, Q.; Zhang, Y.; Wang, S.; Gao, C. Triglyceride-glucose index as a marker of adverse cardiovascular prognosis in patients with coronary heart disease and hypertension. Cardiovasc. Diabetol. 2023, 22, 133. [Google Scholar] [CrossRef]
- Li, Y.; Li, P.; Tang, Q.; Jiao, T.; Gao, Y.; An, S.; Jiang, H.; Cheng, H.; Yang, Z.; Zhou, J.; et al. Triglyceride-Glucose Index and Neutrophil-to-Lymphocyte Ratio: A Metabolic-Inflammatory Signature for Mortality Prediction in a Multicenter Retrospective Cohort of 1249 Dialysis Patients with Coronary Artery Disease. J. Inflamm. Res. 2025, 18, 14203–14215. [Google Scholar] [CrossRef] [PubMed]
- Chen, Y.; Chen, S.; Han, Y.; Xu, Q.; Zhao, X. Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio are Important Indicators for Predicting in-Hospital Death in Elderly AMI Patients. J. Inflamm. Res. 2023, 16, 2051–2061. [Google Scholar] [CrossRef]
- Tello-Montoliu, A.; Marín, F.; Roldán, V.; Mainar, L.; López, M.T.; Sogorb, F.; Vicente, V.; Lip, G.Y.H. A multimarker risk stratification approach to non-ST elevation acute coronary syndrome: Implications of troponin T, CRP, NT pro-BNP and fibrin D-dimer levels. J. Intern. Med. 2007, 262, 651–658. [Google Scholar] [CrossRef]
- Goei, D.; Hoeks, S.E.; Boersma, E.; Winkel, T.A.; Dunkelgrun, M.; Flu, W.-J.; Schouten, O.; Bax, J.J.; Poldermans, D. Incremental value of high-sensitivity C-reactive protein and N-terminal pro-B-type natriuretic peptide for the prediction of postoperative cardiac events in noncardiac vascular surgery patients. Coron. Artery Dis. 2009, 20, 219–224. [Google Scholar] [CrossRef]
- Li, W.; Chen, D.; Tao, Y.; Lu, Z.; Wang, D. Association between triglyceride-glucose index and carotid atherosclerosis detected by ultrasonography. Cardiovasc. Diabetol. 2022, 21, 137. [Google Scholar] [CrossRef]
- Guo, H.; Wang, S.; Wang, H.; Feng, L. Application of TyG index and carotid ultrasound parameters in the prediction of ischemic stroke. Front. Endocrinol. 2025, 16, 1481676. [Google Scholar] [CrossRef]
- Zou, X.; Li, Y.; Zhang, S.; Zhang, J.; Wang, Y.; Shi, S.; Zhao, Z.; Zhao, Y.; Liu, T.; Kolberg, B.; et al. Relationship between triglyceride-glucose index and carotid artery plaques in ischemic stroke patients: Based on blood pressure status, sex, and age. J. Stroke Cerebrovasc. Dis. 2024, 33, 107992. [Google Scholar] [CrossRef] [PubMed]
- Li, X.; Li, J.; Wu, G. Relationship of Neutrophil-to-Lymphocyte Ratio with Carotid Plaque Vulnerability and Occurrence of Vulnerable Carotid Plaque in Patients with Acute Ischemic Stroke. Biomed. Res. Int. 2021, 2021, 6894623. [Google Scholar] [CrossRef]
- Kawahara, S.; Aoyama, T.; Murakawa, M.; Kanemoto, R.; Matsushita, N.; Hashimoto, I.; Kamiya, M.; Maezawa, Y.; Kobayashi, S.; Ueno, M.; et al. Clinical usefulness of C-reactive protein-albumin-lymphocyte (CALLY) index as a prognostic biomarker in patients undergoing surgical resection of pancreatic cancer. Langenbecks Arch. Surg. 2024, 409, 317. [Google Scholar] [CrossRef] [PubMed]
- Gungor, F.; Kılavuz, H.; Arslan, M.F.; Demir, M.; Korkmaz, Y.Y.; Bekraki, A.; Kurtulus, I. Predictive value of the Cally Score in determining surgical strategy for complicated left-sided colonic diverticulitis: A retrospective cohort study. Medicina 2025, 61, 1455. [Google Scholar] [CrossRef] [PubMed]
- Deng, Y.; Huang, J.; Deng, L.; Zhou, Y.; Pan, L.; Wang, J.; Chen, Q.; Gu, Q.; Zhang, Y.; Wei, J.; et al. C-reactive protein-albumin-lymphocyte (CALLY) index as an independent risk factor for postoperative atrial fibrillation recurrence. Clin. Cardiol. 2025, 48, e70157. [Google Scholar] [CrossRef]
- Wu, Z.; Fu, L.; Liu, X.; Gong, C.; Wu, Q.; Li, W.; Wang, B. The relationship between C-reactive protein-albumin-lymphocyte index and peripheral artery disease. Sci. Rep. 2025, 15, 24380. [Google Scholar] [CrossRef] [PubMed]
- Pannu, A.K. Expanding risk stratification in acute coronary syndromes with systemic indices: HALP and CALLY. Biomark. Med. 2025, 19, 451–453. [Google Scholar] [CrossRef]
- Yücel, C.; Ketenciler, S.; Gökkurt, Y.; Ozgol, I.; Gol, I.; Yesiltas, M.A. Evaluation of the relationship between carotid artery stenosis and CALLY index in patients undergoing isolated coronary artery bypass surgery. Coron. Artery Dis. 2025, 37, 78–83. [Google Scholar] [CrossRef] [PubMed]
| Age < 65 (n = 895) | Age ≥ 65 (n = 621) | p | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean ± SD, n (%) | Median | Mean ± SD, n (%) | Median | ||||||||
| Sex | Female | 348 | 38.9% | 254 | 40.9% | 0.429 | X2 | ||||
| Male | 547 | 61.1% | 367 | 59.1% | |||||||
| Carotid Intima–Media Thickness (mm) | |||||||||||
| Left | 0.74 | ± | 0.23 | 0.70 | 1.08 | ± | 0.24 | 1.10 | 0.000 | m | |
| Right | 0.74 | ± | 0.22 | 0.70 | 1.05 | ± | 0.24 | 1.10 | 0.000 | m | |
| Degree of Stenosis | Normal | 643 | 71.8% | 127 | 20.5% | 0.000 | X2 | ||||
| Mild | 222 | 24.8% | 374 | 60.2% | |||||||
| Moderate | 17 | 1.9% | 70 | 11.3% | |||||||
| Severe | 11 | 1.2% | 42 | 6.8% | |||||||
| Occlusion | 2 | 0.2% | 8 | 1.3% | |||||||
| Albumin | 4.2 | ± | 0.6 | 4.2 | 3.7 | ± | 0.6 | 3.8 | 0.000 | m | |
| Lymphocyte | 2.1 | ± | 0.8 | 2.1 | 1.9 | ± | 1.0 | 1.8 | 0.000 | m | |
| CRP | 5.0 | ± | 16.7 | 1.5 | 7.9 | ± | 18.4 | 3.0 | 0.000 | m | |
| CALLY Index | 8.3 | ± | 8.5 | 6.0 | 4.0 | ± | 5.1 | 2.1 | 0.000 | m | |
| Department | Neurology | 512 | 57.6% | 208 | 33.9% | 0.000 | X2 | ||||
| Cardiovascular Surgery | 294 | 33.1% | 295 | 48.1% | 0.000 | X2 | |||||
| Other | 83 | 9.3% | 110 | 17.9% | 0.000 | X2 | |||||
| Stenosis (−) (n = 643) | Stenosis (+) (n = 252) | p | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean ± SD, n (%) | Median | Mean ± SD, n (%) | Median | ||||||||
| Age | 46.7 | ± | 9.6 | 47.0 | 56.5 | ± | 6.2 | 59.0 | 0.000 | m | |
| Sex | Female | 276 | 42.9% | 72 | 28.6% | 0.000 | X2 | ||||
| Male | 367 | 57.1% | 180 | 71.4% | |||||||
| Carotid Intima–Media Thickness (mm) | |||||||||||
| Left | 0.66 | ± | 0.19 | 0.60 | 0.95 | ± | 0.21 | 1.00 | 0.000 | m | |
| Right | 0.66 | ± | 0.18 | 0.60 | 0.92 | ± | 0.20 | 0.90 | 0.000 | m | |
| Albumin | 4.2 | ± | 0.5 | 4.3 | 4.0 | ± | 0.6 | 4.1 | 0.000 | m | |
| Lymphocyte | 2.1 | ± | 0.7 | 2.1 | 2.1 | ± | 0.9 | 2.1 | 0.650 | m | |
| CRP | 3.2 | ± | 9.9 | 1.1 | 9.5 | ± | 26.8 | 2.9 | 0.000 | m | |
| CALLY Index | 9.4 | ± | 8.9 | 6.9 | 5.4 | ± | 6.3 | 2.8 | 0.000 | m | |
| Department | Neurology | 412 | 64.1% | 100 | 39.7% | 0.000 | X2 | ||||
| Cardiovascular Surgery | 176 | 27.4% | 118 | 46.8% | 0.000 | X2 | |||||
| Other | 50 | 7.8% | 33 | 13.1% | 0.014 | X2 | |||||
| Stenosis (−) (n = 127) | Stenosis (+) (n = 494) | p | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean ± SD, n (%) | Median | Mean ± SD, n (%) | Median | ||||||||
| Age (years) | 71.0 | ± | 5.7 | 69.0 | 75.5 | ± | 7.1 | 75.0 | 0.000 | m | |
| Sex | Female | 64 | 50.4% | 190 | 38.5% | 0.015 | X2 | ||||
| Male | 63 | 49.6% | 304 | 61.5% | |||||||
| Carotid Intima–Media Thickness (mm) | |||||||||||
| Left | 0.90 | ± | 0.24 | 0.90 | 1.13 | ± | 0.22 | 1.20 | 0.000 | m | |
| Right | 0.87 | ± | 0.22 | 0.90 | 1.09 | ± | 0.22 | 1.10 | 0.000 | m | |
| Albumin | 3.9 | ± | 0.6 | 4.0 | 3.7 | ± | 0.6 | 3.8 | 0.000 | m | |
| Lymphocyte | 2.0 | ± | 0.7 | 1.9 | 1.9 | ± | 1.1 | 1.7 | 0.011 | m | |
| CRP | 4.9 | ± | 16.8 | 1.8 | 8.7 | ± | 18.8 | 3.5 | 0.000 | m | |
| CALLY Index | 6.0 | ± | 6.3 | 3.8 | 3.5 | ± | 4.6 | 1.9 | 0.000 | m | |
| Department | Neurology | 57 | 44.9% | 151 | 30.6% | 0.002 | X2 | ||||
| Cardiovascular Surgery | 54 | 42.5% | 241 | 48.8% | 0.207 | X2 | |||||
| Other | 12 | 9.4% | 98 | 19.8% | 0.006 | X2 | |||||
| Degree of Stenosis | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 Normal (n:770) | 2 Mild (n:596) | 3 Moderate (n:87) | 4 Severe (n:53) | 5 Occlusion (n:10) | p | |||||||||||||
| Carotid Intima–Media Thickness (mm) | Mean + SD | 0.41 | ± | 0.25 | 0.82 | ± | 0.34 | 0.98 | ± | 0.26 | 1.10 | ± | 0.16 | 0.97 | ± | 0.28 | 0.000 K | K |
| CALLY Index | Mean + SD | 8.86 | ± | 8.62 | 4.52 | ± | 5.55 | 2.97 | ± | 4.45 | 2.32 | ± | 3.08 | 0.93 | ± | 0.75 | 0.000 K | K |
| Median | 6.62 | 2.52 1 | 1.23 12 | 1.17 12 | 0.67 12 | |||||||||||||
| Variables | Left CIMT (Mean ± SD) | p-Value | Right CIMT (Mean ± SD) | p-Value |
|---|---|---|---|---|
| Sex | 0.020 | 0.016 | ||
| Male | 0.89 ± 0.29 | 0.87 ± 0.27 | ||
| Female | 0.85 ± 0.28 | 0.84 ± 0.27 | ||
| Age group | <0.001 | <0.001 | ||
| <65 years | 0.74 ± 0.23 | 0.73 ± 0.22 | ||
| ≥65 years | 1.08 ± 0.24 | 1.04 ± 0.23 | ||
| Hypertension | <0.001 | <0.001 | ||
| Present | 0.96 ± 0.28 | 0.94 ± 0.27 | ||
| Absent | 0.81 ± 0.27 | 0.79 ± 0.25 | ||
| Diabetes mellitus | <0.001 | <0.001 | ||
| Present | 0.93 ± 0.28 | 0.91 ± 0.27 | ||
| Absent | 0.86 ± 0.28 | 0.84 ± 0.27 | ||
| Hyperlipidemia | <0.001 | <0.001 | ||
| Present | 0.95 ± 0.27 | 0.92 ± 0.26 | ||
| Absent | 0.84 ± 0.29 | 0.83 ± 0.27 | ||
| Smoking | 0.254 | 0.386 | ||
| Present | 0.86 ± 0.29 | 0.85 ± 0.27 | ||
| Absent | 0.88 ± 0.29 | 0.86 ± 0.27 |
| Parameters | Stenosis (+) (n = 746) | Stenosis (−) (n = 770) | p-Value |
|---|---|---|---|
| Sex, n (%) | <0.001 | ||
| Male | 484 (64.9) | 430 (55.8) | |
| Female | 262 (35.1) | 340 (44.2) | |
| Age (years) | 69.09 ± 11.25 | 50.68 ± 12.81 | <0.001 |
| Hypertension, n (%) | 440 (59.0) | 237 (30.8) | <0.001 |
| Diabetes mellitus, n (%) | 222 (29.8) | 159 (20.6) | <0.001 |
| Hyperlipidemia, n (%) | 323 (43.3) | 172 (22.3) | <0.001 |
| Smoking, n (%) | 231 (31.0) | 246 (31.9) | 0.680 |
| Albumin (g/dL) | 3.78 ± 0.62 | 4.18 ± 0.54 | <0.001 |
| Lymphocyte count | 1.94 ± 1.01 | 2.12 ± 0.74 | <0.001 |
| CRP | 8.97 ± 21.6 | 3.50 ± 11.4 | <0.001 |
| CALLY index | 4.13 ± 5.31 | 8.86 ± 8.62 | <0.001 |
| Parameters | Beta | SE | p-Value | OR | 95% CI for OR | |
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| CALLY index | −0.059 | 0.011 | <0.001 | 0.943 | 0.923 | 0.964 |
| Sex | 0.608 | 0.143 | <0.001 | 1.837 | 1.387 | 2.432 |
| Age | 0.108 | 0.006 | <0.001 | 1.114 | 1.100 | 1.128 |
| Hypertension | 0.572 | 0.141 | <0.001 | 1.772 | 1.345 | 2.334 |
| Diabetes mellitus | 0.069 | 0.160 | 0.666 | 1.071 | 0.783 | 1.466 |
| Hyperlipidemia | 0.794 | 0.147 | <0.001 | 2.213 | 1.660 | 2.950 |
| Smoking | 0.205 | 0.148 | 0.166 | 1.228 | 0.919 | 1.640 |
| Parameters | Beta | SE | p-Value | OR | 95% CI for OR | |
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| CALLY index | −0.059 | 0.013 | <0.001 | 0.942 | 0.918 | 0.967 |
| Sex | 0.653 | 0.191 | 0.001 | 1.920 | 1.320 | 2.794 |
| Age | 0.142 | 0.013 | <0.001 | 1.152 | 1.124 | 1.182 |
| Hypertension | 0.623 | 0.188 | 0.001 | 1.864 | 1.290 | 2.694 |
| Diabetes mellitus | 0.197 | 0.224 | 0.381 | 1.217 | 0.784 | 1.890 |
| Hyperlipidemia | 0.751 | 0.189 | <0.001 | 2.119 | 1.463 | 3.070 |
| Smoking | 0.187 | 0.188 | 0.322 | 1.205 | 0.833 | 1.743 |
| Parameters | Beta | SE | p-Value | OR | 95% CI for OR | |
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| CALLY index | −0.063 | 0.020 | 0.001 | 0.939 | 0.904 | 0.975 |
| Sex | 0.492 | 0.218 | 0.024 | 1.636 | 1.066 | 2.510 |
| Age | 0.110 | 0.019 | <0.001 | 1.117 | 1.075 | 1.160 |
| Hypertension | 0.631 | 0.218 | 0.004 | 1.880 | 1.226 | 2.883 |
| Diabetes mellitus | 0.027 | 0.228 | 0.906 | 1.027 | 0.658 | 1.605 |
| Hyperlipidemia | 0.787 | 0.238 | 0.001 | 2.197 | 1.378 | 3.502 |
| Smoking | 0.214 | 0.246 | 0.385 | 1.239 | 0.765 | 2.006 |
| Variables | Left CIMT (β, SE) | p-Value | 95% CI | Right CIMT (β, SE) | p-Value | 95% CI |
|---|---|---|---|---|---|---|
| CALLY index | −0.007 (0.001) | <0.001 | −0.009 to −0.006 | −0.007 (0.001) | <0.001 | −0.008 to −0.005 |
| Age | 0.011 (<0.001) | <0.001 | 0.011 to 0.012 | 0.010 (<0.001) | <0.001 | 0.009 to 0.011 |
| Sex | 0.025 (0.010) | 0.019 | 0.004 to 0.045 | 0.025 (0.010) | 0.014 | 0.005 to 0.046 |
| Hypertension | 0.029 (0.011) | 0.009 | 0.007 to 0.050 | 0.028 (0.011) | 0.010 | 0.007 to 0.048 |
| Hyperlipidemia | 0.031 (0.011) | 0.005 | 0.010 to 0.053 | 0.019 (0.011) | 0.077 | −0.002 to 0.041 |
| Diabetes mellitus | 0.002 (0.012) | 0.852 | −0.021 to 0.026 | 0.000 (0.012) | 0.985 | −0.023 to 0.023 |
| Smoking | 0.004 (0.011) | 0.717 | −0.018 to 0.026 | 0.008 (0.011) | 0.477 | −0.014 to 0.029 |
| Albumin level | −0.009 (0.010) | 0.372 | −0.027 to 0.010 | −0.021 (0.009) | 0.025 | −0.039 to −0.003 |
| Lymphocyte count | 0.018 (0.006) | 0.004 | 0.006 to 0.030 | 0.020 (0.006) | 0.001 | 0.008 to 0.032 |
| CRP | 0.002 (<0.001) | <0.001 | 0.001 to 0.002 | 0.001 (<0.001) | <0.001 | 0.001 to 0.002 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Doğan, D.; Güler, E. Association Between the CALLY Index and Carotid Artery Stenosis Severity in Patients Younger and Older than 65 Years. J. Clin. Med. 2026, 15, 4242. https://doi.org/10.3390/jcm15114242
Doğan D, Güler E. Association Between the CALLY Index and Carotid Artery Stenosis Severity in Patients Younger and Older than 65 Years. Journal of Clinical Medicine. 2026; 15(11):4242. https://doi.org/10.3390/jcm15114242
Chicago/Turabian StyleDoğan, Demet, and Erce Güler. 2026. "Association Between the CALLY Index and Carotid Artery Stenosis Severity in Patients Younger and Older than 65 Years" Journal of Clinical Medicine 15, no. 11: 4242. https://doi.org/10.3390/jcm15114242
APA StyleDoğan, D., & Güler, E. (2026). Association Between the CALLY Index and Carotid Artery Stenosis Severity in Patients Younger and Older than 65 Years. Journal of Clinical Medicine, 15(11), 4242. https://doi.org/10.3390/jcm15114242

