| Literature DB >> 30958821 |
Emma M H Slot1, Gabriel J E Rinkel1, Ale Algra1,2, Ynte M Ruigrok1.
Abstract
BACKGROUND ANDEntities:
Mesh:
Year: 2019 PMID: 30958821 PMCID: PMC6453525 DOI: 10.1371/journal.pone.0213372
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flowchart of the study selection process.
Overview of study characteristics.
| First author | Nationality | Study design | No. of all patients | No. of familial IA patients only | No. of all IAs | No. of familial IA only | Rupture status |
|---|---|---|---|---|---|---|---|
| Canadian | NCCC with controls from different studies | 3039 | 177 | 2928 | 243 | Both | |
| Swedish | RCC | 579 | 46 | 335 | 59 | Ruptured | |
| Finnish | RCC | 1150 | 167 | 1511 | 215 | Ruptured | |
| Dutch | PCC | 144 | 19 | 136 | 14 | Ruptured | |
| North-American | RCC | 76 | 15 | 76 | 15 | Ruptured | |
| Canadian | PCC with controls from a different study | 2657 | 30 | 2379 | 30 | Ruptured | |
| Canadian | RCC | 502 | 144 | 502 | 144 | Ruptured | |
| Finnish | RCC | 1357 | 120 | 1853 | 120 | Ruptured | |
| Canadian | RCC | 785 | 54 | - | - | Both | |
| Danish and Inuit (separate) | RCC | 1157 | 79 | 1089 | 57 | Ruptured | |
| Dutch | RCC | 146 | 58 | 185 | 86 | Ruptured | |
| Korean | RCC | 1128 | 12 | 1128 | 12 | Ruptured | |
| American, New-Zealand, Australian | Retrospective cohort and prospective cohort with separate CC | 2874 | 611 | - | - | Both | |
| Finnish | RCC from prospective data-base | 1770 | 316 | 2066c | 489c | Both (separate) | |
| American, Canadian, Australian and New Zealand, European | RCC | 2930 | 511 | 4175 | 791 | Unruptured |
IA = intracranial aneurysm,NCCC = non-consecutive case-control, RCC = retrospective case-control, PCC = prospective case-control, CC = case-control
aIncluding 2 cohorts of non-familial IA patients from different studies: 2627 patients [23] and 235 patients [24]
bIncluding 2 cohorts of non-familial IAs from different studies: 2627 patients [23] and 58 patients [25]
cTotal number of IAs not reported, number represents the number of IAs available for analysis
dIncluding non-familial IA patients from a different study: 2627 patients [23]
eThis cohort is largely overlapping with Ronkainen et al. 1995 [3]
Patient and aneurysm-specific characteristics of familial intracranial aneurysms as compared to non-familial intracranial aneurysms for analysis of ruptured and unruptured aneurysms together.
| Characteristic | Familial IAs | Non-familial IAs | Β | 95% CI | Heterogeneity I2 (%) |
|---|---|---|---|---|---|
| 62.9 | 60.6 | 0.03 | -0.07 to 0.14 | 70 | |
| 55.7 | 52.6 | -0.06 | -0.89 to 0.78 | 72 | |
| 47.5 | 54.9 | 0.01 | -0.46 to 0.48 | 95 | |
| 28.5 | 20.4 | 0.10 | 0.04 to 0.16 | 0 | |
| 24.3 | 33.7 | -0.06 | -0.22 to 0.10 | 60 | |
| 26.1 | 24.5 | -0.031 | -0.14 to 0.08 | 11 | |
| 38.1 | 27.9 | 0.047 | -0.05 to 0.15 | 35 | |
| 5.5 | 7.2 | -0.0.35 | -0.04 to 0.04 | 0 |
IA = intracranial aneurysm, 95% CI = 95% confidence interval, ACA = anterior cerebral artery, including the anterior communicating artery and pericallosal artery, MCA = medial cerebral artery, ICA = internal carotid artery, VBA = vertebrobasilar artery
abeta calculated with weighted linear regression
Patient and aneurysm-specific characteristics of familial intracranial aneurysms as compared to non-familial intracranial aneurysms for analysis of ruptured aneurysms only.
| Characteristic | Familial IAs | Non-familial IAs | Β | 95% CI | Heterogeneity I2 (%) |
|---|---|---|---|---|---|
| 62.3 | 59.0 | 0.00 | -0.12 to 0.11 | 66 | |
| 46.5 | 50.8 | -5.00 | -9.31 to -0.69 | 98 | |
| 12.9 | 14.7 | -5.52 | -19.17 to 8.13 | 99 | |
| 27.7 | 35.9 | -0.01 | -0.18 to 0.16 | 58 | |
| 24.3 | 22.8 | -0.05 | -0.18 to 0.08 | 0 | |
| 41.1 | 29.5 | 0.12 | 0.01 to 0.24 | 12 | |
| 5.3 | 7.5 | -0.01 | -0.06 to 0.04 | 0 |
IA = intracranial aneurysm, 95% CI = 95% confidence interval, ACA = anterior cerebral artery, including the anterior communicating artery and pericallosal artery, MCA = medial cerebral artery, ICA = internal carotid artery, VBA = vertebrobasilar artery
abeta calculated with weighted linear regression