Table 1:
PMID | Author | Year | Sample size | Age (mean) | Age (median) | Women % | HTN % | DM % | Smoking % | DLP % | CAD % | Plaque imaging | Imaging delay (days) | High-risk features | ROB |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
24330333 | Bayer-Karpinska [5] | 2013 | 32 | NA | 74 | 32 | 72 | 22 | 49 | 28 | 22 | MRI (HRBB) | < 7 | ulceration, intraplaque hemorrhage, thrombus | 9 |
29307510 | Buon [6] | 2018 | 44 | NA | 46.5 | 43 | 14 | 2 | 59 | 16 | NA | Carotid US | NA | ulceration, echolucency, thrombus | 9 |
27412144 | Coutinho [7] | 2016 | 85 | NA | 70 | 52 | 60 | 28 | NA | 34 | 20 | CTA | < 10 | plaque thickness ≥ 3 mm | 10 |
22498329 | Freilinger [8] | 2012 | 32 | 71.7 | NA | 31 | 59 | 22 | 63 | 47 | 22 | MRI (HRBB) | 5.8 | ulceration, intraplaque hemorrhage, thrombus | 10 |
26077590 | Gupta [9] | 2015 | 27 | 71 | NA | 48 | 78 | 22 | 4 | 56 | 11 | MRI (3D-TOF) | 2.6 | intraplaque hemorrhage | 8 |
29571754 | Singh [10] | 2018 | 35 | 74.3 | NA | 54 | 74 | 29 | 6 | 80 | 49 | MRI (HRBB) | NA | intraplaque hemorrhage | 9 |
26897689 | Gupta [11] | 2016 | 50 | 69.5 | NA | 50 | NA | NA | NA | NA | NA | MRI (3D-TOF) | 1 | intraplaque hemorrhage | 9 |
26433367 | Hyafil [12] | 2016 | 18 | 70 | NA | 63 | 72 | 22 | 17 | 28 | 22 | MRI (HRBB) | < 14 | fibrous cap rupture, intraplaque hemorrhage, thrombus | 9 |
3D-TOF = 3-dimensional time of flight, CAD = Coronary artery disease, DLP = Dyslipidemia, DM = Diabetes mellitus, HRBB = High-resolution black blood, HTN = Hypertension, MRI = Magnetic Resonance Imaging, NA = Not available, PMID = PubMed accession number, ROB = Risk of bias score (maximum 10, 8–10 = low risk of bias/high-quality, 5–7 = moderate risk of bias/moderate quality, ≤4 = high risk of bias/low quality), US = Ultrasound