3.2 Study Characteristics
All the experimental animals were male-dominated rodents, except for one study sexes in half. Isoflurane were frequently used as anesthetics, others, including ketamine, pentobarbital sodium and fentanyl, etc. The treatment and plugging depth of the filament were reported in almost all literature. Cerebral ischemic injury in the included studies was induced by transient MCAO (tMCAO) or permanent MCAO (pMCAO). The characteristics of the included studies are provided in the Supplement 2.
The comparison of model establishment, CBF and ischemic brain injury were the focus of our study. Among them, the success rate of plugging filament, incidence of SAH, model mortality rate and model success rate were analyzed as dichotomous variables. While, the surgical operation duration, cerebral infarction size, brain edema rate and neurological deficit score were analyzed as continuous variables. The calculation formula of relevant indicators are shown in Supplement 3.
3.3 Quality of Included Studies
Study quality scores for 28 studies counted in this meta-analysis were summarized in Table 1. The quality scores varied from 3 to 8 with the average as 5.46. All the studies were peer-reviewed publications. Twenty-four studies declared randomization of group allocation, and 21 studies described the monitoring of physiological parameters. Besides, one study masked the details of experimental designs, and 14 studies reported blinded assessment of outcome. Thirteen studies avoided the use of anesthetics with marked neuroprotective properties. None of the studies reported the application of co-morbidities in animals. Twenty-five studies reported sample size calculation. Among all of them, 18 studies stated the compliance with animal welfare regulations, and 9 studies addressed the conflict of interests (Table 1).
Table 1
Quality evaluation of included studies.
Year
|
Lead author
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
J
|
Total
|
1993
|
Laing,R.J. [11]
|
+
|
|
+
|
|
|
|
|
+
|
|
|
3
|
2000
|
Qu Qiumin [12]
|
+
|
+
|
|
|
|
|
|
+
|
|
|
3
|
2001
|
Cao Yongjun [13]
|
+
|
+
|
+
|
|
|
+
|
|
+
|
|
|
5
|
2004
|
Xi Gangming [14]
|
+
|
+
|
+
|
|
+
|
|
|
+
|
|
|
5
|
2006
|
Sun Guobing [15]
|
+
|
+
|
|
|
|
+
|
|
+
|
|
|
4
|
2006
|
Johannes Woitzik [16]
|
+
|
+
|
+
|
|
+
|
|
|
|
+
|
+
|
6
|
2007
|
Hiroaki Sakai [17]
|
+
|
+
|
+
|
|
+
|
|
|
+
|
+
|
|
6
|
2008
|
Cam Ertugrul [18]
|
+
|
|
+
|
|
|
+
|
|
+
|
+
|
|
5
|
2008
|
Sun Yu [19]
|
+
|
+
|
|
|
|
+
|
|
+
|
|
|
4
|
2008
|
Xiang Heng [20]
|
+
|
+
|
|
|
|
+
|
|
+
|
+
|
|
5
|
2008
|
Yang Zanzhang [21]
|
+
|
+
|
+
|
|
|
+
|
|
+
|
|
|
5
|
2009
|
Yang Debing [22]
|
+
|
+
|
|
|
|
|
|
+
|
|
|
3
|
2011
|
Trueman, R, C. [23]
|
+
|
+
|
+
|
+
|
+
|
|
|
+
|
+
|
|
7
|
2012
|
Liu Jianren [24]
|
+
|
+
|
+
|
|
+
|
+
|
|
+
|
+
|
+
|
8
|
2012
|
Zhao Kai [25]
|
+
|
+
|
|
|
|
+
|
|
+
|
|
|
4
|
2013
|
Tang Qiqiang [26]
|
+
|
+
|
+
|
|
|
+
|
|
+
|
+
|
+
|
7
|
2014
|
Fan Ruijuan [27]
|
+
|
+
|
|
|
+
|
+
|
|
+
|
|
|
5
|
2015
|
Morris,G.P. [28]
|
+
|
+
|
+
|
|
+
|
|
|
+
|
+
|
+
|
7
|
2015
|
Smith,H.K. [29]
|
+
|
|
+
|
|
+
|
|
|
|
+
|
|
4
|
2016
|
Zheng Jianfeng [30]
|
+
|
+
|
+
|
|
|
+
|
|
+
|
+
|
|
6
|
2016
|
Zuo Xialin [31]
|
+
|
+
|
+
|
|
+
|
+
|
|
+
|
+
|
|
7
|
2016
|
Cai Qiang [32]
|
+
|
|
+
|
|
+
|
|
|
|
+
|
+
|
5
|
2017
|
Melissa,T.L. [33]
|
+
|
+
|
+
|
|
+
|
|
|
+
|
+
|
+
|
7
|
2019
|
Wang Dongliang [34]
|
+
|
+
|
+
|
|
|
|
|
+
|
+
|
|
5
|
2021
|
Onufriev, M.V. [35]
|
+
|
+
|
+
|
|
+
|
|
|
+
|
+
|
+
|
7
|
2022
|
Wang Wenxiu [36]
|
+
|
+
|
+
|
|
|
+
|
|
+
|
+
|
|
6
|
2022
|
Yang Zhong [37]
|
+
|
+
|
+
|
|
+
|
|
|
+
|
+
|
+
|
7
|
2022
|
Helena, Justic [38]
|
+
|
+
|
+
|
|
+
|
|
|
+
|
+
|
+
|
7
|
Study quality items are A, Peer-reviewed publication; B, Random grouping; C, Monitoring of physiological parameters (eg. temperature, blood pressure, gases); D, Blinded conduct of ischemia; E, Blinded assessment of outcomes; F, Use of anesthetic without marked intrinsic neuroprotective properties (eg, isoflurane, ketamine, halothane ); G, Animal with co-morbidities (eg., diabetic, aged, or hypertensive); H, Sample size calculation; I, Statement of compliance with animal welfare regulations; J, Statement of potential conflict of interests.
3.4 Comparisons between the two methods in the model preparation
3.4.1 Distinction on operation duration
Four studies[19, 27, 28, 32]reported the duration of surgical operation, and one[28] was excluded due to absence of extractable date. Overall, the operation duration of MCAO-KM was significantly shorter than that of MCAO-LG (MD=-10.72, 95% CI [-18.58, -2.86], p = 0.007, heterogeneity I2 = 98%, p < 0.00001) (Fig. 2a). The separation and ligation of the pterygopalatine artery (PPA) as well as the surgical proficiency may be important sources of heterogeneity. Of note, the study[28] also point out that the operation time of MCAO-KM was shorter than MCAO-LG methods, which consistent with the pooled MD estimation.
3.4.2 Distinction on probability of plugging filament
The success rates of filament insertion were reported in three studies[11, 22, 27]. Overall, the MCAO-KM shows a higher probability of plugging filament than MCAO-LG (RR = 1.43, 95% CI [1.20, 1.70], p < 0.0001, heterogeneity I2 = 84%, p = 0.002) (Supplement 4), and one study [27] should be the source of heterogeneity through sensitivity analyses. After removal of this study, the pooled result between the two methods remained similar and the heterogeneity was decreased (RR = 1.59, 95% CI [1.30, 1.96], p < 0.00001, heterogeneity I2 = 0%, p = 0.53) (Fig. 2b).
3.4.3 Distinction on postoperative mortality
Nineteen studies[14, 18–24, 27–32, 34–38] reported the rodent mortality after plugging filament, and one study[37] was excluded due to lack of extractable data. Overall, and, no significant difference between two methods was observed (RR = 1.09, 95% CI [0.86, 1.38], P = 0.47, heterogeneity I2 = 21%, P = 0.20) (Fig. 3). Of note, sub-analyses show that model animals produced by MCAO-KM exhibited higher mortality than that by MCAO-LG in the tMCAO subgroup (RR = 1.44, 95%CI [1.07, 1.95], p = 0.02, heterogeneity I2 = 0%, p = 0.73), whereas, the opposite result was found in the pMCAO subgroup (RR = 0.66, 95%CI [0.45, 0.96], p = 0.03, heterogeneity I2 = 32%, p = 0.20). The p-value of Egger's regression test in the tMCAO subgroup was 0.291, indicating no significant publication bias (Supplement 5).
3.4.4 Distinction on occurence of SAH
Nine studies [18, 19, 21, 24–27, 31, 38] reported the occurrence of SAH after operation, and one study [26] was excluded due to lack of detailed data. Overall, the meta-analysis results indicate that the modeling method of MCAO-KM causes a lower probability of SAH compared to the MCAO-LG with no substantial heterogeneity (RR = 0.43, 95% CI [0.20, 0.90], p = 0.02, heterogeneity I2 = 0%, p = 0.96) (Fig. 4).
3.4.5 Distinction on success rate of MCAO models
The success rates of MCAO models were assessed in 16 studies [12, 18–28, 30, 34–36]. Overall, the MCAO-KM brings statistically higher probability on model success than the MCAO-LG (RR = 1.14, 95% CI [1.03, 1.27], p = 0.01, heterogeneity I2 = 45%, p = 0.02). Subgroup analyses suggest that the MCAO-KM supports higher model success rate in the pMCAO subgroup (RR = 1.34, 95% CI [1.09, 1.66], p = 0.006, heterogeneity I2 = 0%, p = 0.51), but not tMCAO (RR = 1.06, 95% CI [0.94, 1.20], p = 0.33, heterogeneity I2 = 46%, p = 0.04) (Supplement 6a).
Sensitivity analysis of the tMCAO subgroups revealed one study [25] may be the source of heterogeneity. After deletion of this study, no significant difference between the two methods was found in overall effect (RR = 1.08, 95% CI [0.97, 1.20], p = 0.14, heterogeneity I2 = 24%, p = 0.17) as well as tMCAO subgroup (RR = 0.97, 95% CI [0.86, 1.10], p = 0.64, heterogeneity I2 = 0%, p = 0.53). However, the MCAO-KM method's success rate remains higher in the pMCAO subgroup (Fig. 5). The p-value of Egger's regression test in the tMCAO subgroup was 0.089, indicating no significant publication bias (Supplement 6b & 6c).
3.5 Comparisons between the two methods in CBF and brain injury
3.5.1 Distinction on CBF after ischemia or ischemia-reperfusion
Eight studies [13, 16, 28, 29, 32, 33, 37, 38] with 9 comparisons were applied to evaluate CBF after cerebral ischemia or ischemia-reperfusion between MCAO-KM and MCAO-LG, and one study [32] was excluded due to lack of sample size, and another study [16] was also excluded because it did not reperfused by removing the filament. Overall, there was no significant difference in CBF between the two methods during ischemia (SMD = 0.18; 95% CI [-0.32, 0.68], p = 0.48; heterogeneity I2 = 40%, p = 0.14) (Fig. 6a). Interestingly, after reperfusion, the CBF achieved by MCAO-KM was dramatically lower than that by MCAO-LG (SMD=-1.34; 95% CI [-1.85, -0.83], p < 0.00001; heterogeneity I2 = 60%, p = 0.02) (Supplement 7). After exclusion of one study [38] as a potential source of heterogeneity, the CBF outcomes between the two methods remained similar and the heterogeneity was significantly reduced (SMD=-1.12; 95% CI[-1.65, -0.59], p < 0.0001; heterogeneity I2 = 11%, p = 0.35) (Fig. 6b).
3.5.2 Distinction on cerebral infarction size
Eleven studies [13, 15, 19, 21, 27–29, 31, 34, 35, 39] evaluated the cerebral infarction rates between MCAO-KM and MCAO-LG methods (Supplement 8༆Supplement 9), and one study [34] was excluded due to lack of sample size. Overall, the cerebral infarction rates of the MCAO-KM was markedly lower than the MCAO-LG (MD=-3.37; 95% CI[-4.71, -2.04], p < 0.00001; heterogeneity I2 = 82%, p < 0.00001) (Supplement 8a). Sub-analyses suggest that the MCAO-KM gets a low cerebral infarction rates in tMCAO subgroup, but not in pMCAO subgroup (MD=-3.53, 95% CI [-4.91, -2.15], p < 0.00001, heterogeneity I2 = 84%, p < 0.00001; and MD=-1.12; 95% CI [-6.37, 4.14]; p = 0.68 heterogeneity I2 = 0%, p = 0.95, respectively) (Supplement 8a). After removal of one study[29], the distinction of cerebral infarction rates remained significant between the two methods, and the heterogeneity of overall effect as well as tMCAO subgroup was eliminated (SMD=-2.10, 95% CI [-3.63, -0.57], p = 0.007, heterogeneity I2 = 39%, p = 0.10 in tMCAO subgroup; and SMD=-2.02, 95% CI [-3.49, -0.56], p = 0.007, heterogeneity I2 = 26%, p = 0.18 in overall effect) (Fig. 7a). The p-value of Egger's regression test in the tMCAO subgroup was 0.390, verifying no significant publication bias (Supplement 8b ༆ 8c).
Twelve studies [13, 14, 16–18, 20, 24, 30, 32, 33, 37, 38] evaluated the distinction of cerebral lesion volumes between the two modeling methods (Supplement 10༆Supplement 11). Meta-analysis suggests that the average cerebral lesion volumes of the MCAO-KM rodents was higher than the MCAO-LG rodents (SMD = 0.68; 95% CI [0.46, 0.91], p < 0.00001; heterogeneity I2 = 59%, p = 0.003) (Supplement 10a). Sub-analyses suggest that the MCAO-KM animals show a higher average cerebral infarction volume than MCAO-LG in both tMCAO and pMCAO subgroups (SMD = 0.61; 95% CI [0.36, 0.86], p < 0.00001; heterogeneity I2 = 57%, p = 0.003; and SMD = 0.96, 95% CI [0.47, 1.45], p = 0.0001, heterogeneity I2 = 66%, p = 0.001, respectively) (Supplement 10a). Sensitivity analyses pointed out that two studies [30, 38] should be the source of heterogeneity. After removing these studies, the heterogeneity was significantly reduced. Sub-analyses suggest that the MCAO-KM animals showed a higher average cerebral lesion volume in tMCAO but not pMCAO subgroup (SMD = 0.54; 95% CI [0.28, 0.80]; p < 0.0001, heterogeneity I2 = 0%, p = 0.84 in tMCAO; SMD = 0.57, 95%CI [0.00, 1.13], p = 0.05, heterogeneity I2 = 39%, p = 0.16 in pMCAO; and SMD = 0.54, 95%CI [0.31, 0.78], p < 0.00001, heterogeneity I2 = 0%, p = 0.67 in overall effect) (Fig. 7b). The p-value of Egger's regression test in the tMCAO subgroup was 0.679, indicating no significant publication bias (Supplement 10b & 10c).
3.5.3 Distinction on brain edema
The assessments of the brain edema rates were performed in six studies[12, 16, 24, 26, 34, 38], and two studies [26, 34] were excluded due to lack of detailed data (Supplement 12). Overall, the MCAO-KM animals produced severer brain edema compared to the MCAO-LG with marked heterogeneity (SMD = 0.53, 95% CI [0.03, 1.02], p = 0.04, heterogeneity I2 = 71%, p = 0.005) (Supplement 12). Subgroup analysis indicates that significant differences occurs in the tMCAO but not in the pMCAO subgroup (SMD = 0.70, 95% CI [0.12, 1.28], p = 0.02, heterogeneity I2 = 78%, p = 0.003, and SMD = 0.10, 95% CI [-0.82, 1.02], p = 0.83, heterogeneity I2 = 51%, p = 0.15, respectively). Sensitivity analysis uncovered that one study [38] is a potential source of heterogeneity. After removal of this study, the pooled estimation of brain edema between the two MCAO animals remained similar and the heterogeneity was eliminated (SMD = 0.93, 95% CI [0.34, 1.53], p = 0.002, heterogeneity I2 = 0%, p = 0.88 in tMCAO subgroup; SMD = 0.10, 95% CI [-0.82, 1.02], p = 0.83, heterogeneity I2 = 51%, p = 0.15 in pMCAO subgroup; and SMD = 0.68, 95% CI [0.18, 1.18], p = 0.007, heterogeneity I2 = 12%, p = 0.34 in overall effect) (Fig. 8).
3.5.4 Distinctions on neurological deficit scores
Nineteen studies evaluated neurological deficits via Longa score[13, 16, 19, 22, 25, 26, 30–32, 34, 36], Bederson score[24, 35], modified neurological severity scores (mNSS) score[17, 29, 37], and Garcia score[24, 27, 38] (Supplement 13). Among them, three articles [16, 26, 32] were excluded due to absence of available data. Of note, the higher the Garcia score, the better the neurobehavior, which is contrary to other scoring methods, thus, these studies using Garcia score were not pooled into the sub-analysis (Supplement 14). Overall, the average neurological deficit scores of the MCAO-KM animals significantly higher than that of MCAO-LG animals without heterogeneity (SMD = 0.21, 95% CI [0.02, 0.39], p = 0.03, heterogeneity I2 = 20%, p = 0.21) (Fig. 9).