| Literature DB >> 35922714 |
Abdulrahman Ibrahim Hagrass1, Bashar Khaled Almaghary2, Mohamed Abdelhady Mostafa3, Mohamed Elfil4, Sarah Makram Elsayed5, Amira A Aboali6, Aboalmagd Hamdallah7, Mohammed Tarek Hasan1, Mohammed Al-Kafarna2, Khaled Mohamed Ragab8, Mohamed Fahmy Doheim9.
Abstract
BACKGROUND AND OBJECTIVES: In young people aged < 50 years, cervical artery dissection (CeAD) is among the most common causes of stroke. Currently, there is no consensus regarding the safest and most effective antithrombotic treatment for CeAD. We aimed to synthesize concrete evidence from studies that compared the efficacy and safety of antiplatelet (AP) versus anticoagulant (AC) therapies for CeAD.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35922714 PMCID: PMC9433613 DOI: 10.1007/s40268-022-00398-z
Source DB: PubMed Journal: Drugs R D ISSN: 1174-5886
Fig. 1PRISMA flow diagram
Summary of included studies
| Study ID | Design | Study arms | No. | Mean duration of follow up (months) | |
|---|---|---|---|---|---|
| Arauz 2006 | Cohort | Carotid dissection | Aspirin | 44 | 6 |
| Anticoagulant | 14 | ||||
| Vertebral dissection | Aspirin | 38 | |||
| Anticoagulant | 34 | ||||
| Arauz 2012 | Cohort | Vertebral dissection | Antiplatelet | 50 | 6 |
| Anticoagulant | 49 | ||||
| Caprio 2014 | Cohort | Antiplatelet | 40 | 7.5 | |
| Anticoagulant | 70 | ||||
| Anticoagulant | 39 | ||||
| Daou 2017 | Cohort | Antiplatelet | 70 | 24.3 | |
| Anticoagulant | 73 | ||||
| Engelter 2000 | Cohort | Carotid dissection | Antiplatelet | 8 | 7.8 |
| Anticoagulant | 25 | ||||
| Gensicke 2015 | Cohort | Antiplatelet | 43 | 6 | |
| Anticoagulant | 25 | ||||
| Georgiadis 2009 | Cohort | Carotid dissection | Aspirin | 96 | 3 |
| Anticoagulant | 202 | ||||
| Kennedy 2012 | Cohort | Antiplatelet | 59 | 12 | |
| Anticoagulant | 28 | ||||
| Markus 2019 | RCT | Antiplatelet | 126 | 12 | |
| Anticoagulant | 124 | ||||
| Weimar 2010 | Cohort | Antiplatelet | 32 | 31 | |
| Anticoagulant | 193 | ||||
| Yaghi 2012 | Cohort | Antiplatelet | 31 | 6 | |
| Anticoagulant | 16 | ||||
| Machet 2013 | Cohort | Antiplatelet | 13 | ||
| Anticoagulant | 31 | ||||
| Engelter 2021 | RCT | Aspirin | 100 | 3 | |
| Anticoagulant | 94 | ||||
| Vineetha 2019 | Cohort | Antiplatelet | 136 | 6 | |
| Anticoagulant | 64 | ||||
| Beletsky 2003 | Cohort | Anticoagulant | 71 | 10 | |
| Aspirin | 23 | ||||
RCT randomized controlled trial
Baseline for included studies
| Study ID | Study arms | Age, y | Gender, | Dissection type, | mRs 0–2, | mRs >= 3, n (%) | Hypertension, | Current smoking, | Admission NIHSS | Follow-up in months | Migraine, | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Male | Female | Spontaneous | Traumatic | |||||||||||
| Arauz 2006 | Carotid dissection | Aspirin | 34.4 (12) | 26 (45) | 32 (55) | 8 (18) | 36 (82) | |||||||
| Anticoagulant | 1 (8) | 13 (92) | ||||||||||||
| Vertebral dissection | Aspirin | 36.3 (8) | 44 (61) | 28 (39) | 22 (58) | 16 (42) | ||||||||
| Anticoagulant | 15 (44) | 19 (56) | ||||||||||||
| Arauz 2012 | Vertebral dissection | Antiplatelet | 39.2 (7.69) | 32 (64) | 18 (36) | 43 (86) | 7 (14) | 6 (12) | 15 (30) | 5.28 (3.27) | 48.98 (43) | |||
| Anticoagulant | 36.49 (9.25) | 30 (61.2) | 19 (38.8) | 39 (80) | 10 (20) | 9 (18.4) | 16 (32.7) | 7.66 (5.12) | 44.86 (37.75) | |||||
| Caprio 2014 | Antiplatelet | 48.1 (13.2) | 17 (42.5) | 23 (57.5) | 8 (20) | 6 (15) | ||||||||
| Anticoagulant | 41.4 (15) | 21 (30) | 49 (70) | 13 (18.6) | 13 (18.6) | |||||||||
| Anticoagulant | 42.3 (12.1) | 17 (43.6) | 22 (56.4) | 10 (25.6) | 7 (17.9) | |||||||||
| Daou 2017 | Antiplatelet | 49 | 31 (44) | 39 (56) | 49 (70) | 21 (30) | 25 (36) | 18 (26) | 23 | |||||
| Anticoagulant | 44 | 31 (43) | 42 (57) | 53 (73) | 20 (27) | 28 (39) | 19 (26) | 30 | ||||||
| Engelter 2000 | Carotid dissection | Antiplatelet | 47.8 (12.6) | 5 (63) | 3 (37) | 4 (50) | 1 (13) | 4 (50) | ||||||
| Anticoagulant | 44.5 (9.26) | 18 (72) | 7 (28) | 14 (56) | 7 (28) | 10 (40) | ||||||||
| Gensicke 2015 | Antiplatelet | 45 (11.5) | 29 (67.4) | 14 (32.6) | ||||||||||
| Anticoagulant | 48.67 (12.58) | 18 (72) | 7 (28) | |||||||||||
| Georgiadis 2009 | Carotid dissection | Aspirin | 46 (11) | 53 (55) | 43 (45) | 25 (26) | 37 (38.5) | |||||||
| Anticoagulant | 46 (10) | 115 (57) | 87 (43) | 56 (27.7) | 53 (26.2) | |||||||||
| Kennedy 2012 | Antiplatelet | 45 | 34 (57.6) | 25 (42.4) | 12 (20.3) | 10 (16.9) | 13 (22) | |||||||
| Anticoagulant | 43 | 17 (60.7) | 11 (39.3) | 1 (3.6) | 5 (17.9) | 7 (25) | ||||||||
| Markus 2019 | Antiplatelet | 49.3 (12) | 87 (69) | 39 (31) | 29 (23) | 20 (16) | ||||||||
| Anticoagulant | 49.2 (12) | 87 (70) | 37 (30) | 26 (21) | 25 (20) | |||||||||
| Weimar 2010 | Antiplatelet | 50.4 | 20 (72.5) | 12 (27.5) | 18 (56.3) | 9 (29) | 4.5 | |||||||
| Anticoagulant | 47.7 | 118 (60.2) | 78 (39.8) | 74 (37.8) | 66 (34.7) | 3 | ||||||||
| Yaghi 2012 | Antiplatelet | 44 (12.3) | 19 (61.3) | 12 (38.7) | 14 (45.1) | 12 (38.7) | 9 (29) | |||||||
| Anticoagulant | 46.7 (12.5) | 10 (62.5) | 6 (37.5) | 8 (50) | 8 (50) | 5 (31.2) | ||||||||
| Machet 2013 | Antiplatelet | 41.8 (9.6) | 5.5 (6.3) | |||||||||||
| Anticoagulant | 45.7 (8.5) | 2.3 (4.1) | ||||||||||||
| Engelter 2021 | Aspirin | 46.6 (10.6) | 62 (62) | 38 (38) | 32 (32) | 2.1 (2.7) | ||||||||
| Anticoagulant | 45.5 (11.6) | 61 (65) | 33 (35) | 28 (30) | 2.5 (4.1) | |||||||||
| Vineetha 2019 | Antiplatelet | 43.44 (13.16) | 103 (75.7) | 33 (24.3) | 67 (49.3) | 60 (44.1) | 48 (35.3) | 8.18 (7.03_ | 11 (8.1) | |||||
| Anticoagulant | 43.56 (12.98) | 50 (78.1) | 14 (21.9) | 39 (60.9) | 32 (50) | 20 (31.3) | 6.25 (5.7) | 5 (7.8) | ||||||
| Beletsky 2003 | Anticoagulant, Aspirin | 44 (11) | 56 (48) | 60 (52) | 68 (58.6) | 21 (18) | 23 (20) | 10 (3.5) | 15 (13) | |||||
Risk of bias for cohort studies
| Study ID | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | Total | Quality |
|---|---|---|---|---|---|---|---|---|---|---|
| Arauz 2006 | * | * | * | * | * | * | * | * | 8 | High |
| Arauz 2013 | * | * | * | * | * | * | * | * | 8 | High |
| Caprio 2014 | * | * | * | * | * | * | * | * | 8 | High |
| Daou 2017 | * | * | * | * | * | * | * | * | 8 | High |
| Engelter 2000 | * | * | * | * | * | * | * | * | 8 | High |
| Gensicke 2015 | * | * | * | * | * | * | * | * | 8 | High |
| Georgiadis 2009 | * | * | * | * | * | * | * | * | 8 | High |
| Kennedy 2012 | * | * | * | * | * | * | * | * | 8 | High |
| Machet 2013 | * | * | * | * | * | * | * | * | 8 | High |
| Weimar 2010 | * | * | * | * | * | * | * | 7 | High | |
| Yaghi 2012 | * | * | * | * | * | * | * | 7 | High | |
| Beletsky 2003 | * | * | * | * | * | * | * | 7 | High | |
| Vineetha 2019 | * | * | * | * | * | * | * | * | 8 | High |
Fig. 2Risk of bias graph and summary
Fig. 3a Death during short-term follow-up. b Death during long-term follow-up
Fig. 4a Forest plot of primary ischaemic stroke. b Forest plot of primary transient ischaemic attack (TIA)
Fig. 5a Forest plot of recurrent stroke. b Forest plot of recurrent transient ischaemic attack (TIA)
Fig. 6a Forest plot of symptomatic Intracranial haemorrhage (ICH). b Forest plot of major extra-cranial bleeding
Fig. 7a Forest plot of good functional outcome at 6 months (mRs = 0–2). b Forest plot of poor outcome at 6 months (mRs ≥ 3)
| Both antiplatelet (AP) and anticoagulant (AC) drugs can be used in the management of cervical artery dissection due to similar rates of recurrent stroke, transient ischaemic attack, haemorrhage, mortality, and complete recanalization. Despite this similarity, it is possible that the statistically equal AC/AP profiles may be due to significant conflict zones among the AC–AP comparative studies. |
| We urge further well-designed clinical trials to determine whether or not unnecessary anticoagulation may be avoided in cervical artery dissection. |