Effect of Granulocyte Colony-Stimulating Factor (G-CSF) on Improving Impairment Scale After Acute Spinal Cord Injury: An Individual Participant Data Meta-Analysis

Seyyed Amir Yasin Ahmadi, Mohammad Javad Nourmohammadi, Ahmed Sayahi, B. Alijani, S. Yousefzadeh-Chabok, J. Rezaian
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Abstract

Background and Aim: The present study was conducted to investigate the effects of granulocyte colony-stimulating factor (G-CSF) after acute spinal cord injury on increasing a grade of improvement entitled American spinal cord injury association impairment scale (AIS) as an individual participant data (IPD) meta-regression analysis of clinical trials. Methods and Materials/Patients: According to our search strategy, four studies were selected. Multilevel ordered logistic regression modeling was used to predict AIS grade with G-CSF administration and time variable (first day and a 3-month follow-up). The IDs of the studies as well as the time series variable were imported to the random part of the model. Odds ratio (OR) and 95% confidence interval (CI) were reported. Results: A total of 277 samples were studied. A fixed effect model was performed at first. Accordingly, using G-CSF was associated with increased AIS grade (lower impairment) (OR=1.503, 95% CI=1.110-2.035) adjusted with time series (OR=1.868, 95% CI=1.378-2.532). In the mixed effect model, G-CSF was again associated with increased AIS grade (OR=1.780, 95% CI=1.301- 2.436) adjusted with time series (OR=2.152, 95% CI=1.406-3.294). Conclusion: The present meta-analysis showed the protective effect of GCS-F observed as an improvement in AIS grade. This protecting effect was further after adjusting the random effects of time series and individual studies. Although multilevel modeling could reduce our limitations, it should be regarded that the number of trials was not enough to establish strong conclusions.
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粒细胞集落刺激因子(G-CSF)改善急性脊髓损伤后损伤程度的作用:个体参与者数据荟萃分析
背景和目的:本研究旨在研究急性脊髓损伤后粒细胞集落刺激因子(G-CSF)对提高美国脊髓损伤协会损伤量表(AIS)改善程度的影响,作为临床试验的个体参与者数据(IPD)元回归分析。方法和材料/患者:根据我们的搜索策略,选择了四项研究。采用多水平有序逻辑回归模型,通过G-CSF给药和时间变量(第一天和3个月随访)预测AIS分级。研究的ID以及时间序列变量被导入到模型的随机部分。报告了比值比(OR)和95%置信区间(CI)。结果:共对277个样本进行了研究。首先建立了固定效应模型。因此,使用G-CSF与AIS分级增加(较低损伤)相关(OR=1.503,95%CI=1.110-2.035),并随时间序列调整(OR=1.868,95%CI=1.378-2.532)。在混合效应模型中,G-CSF再次与AIS分级增加相关(OR=1.780,95%CI=1.301-2.436),并随时间序列调整(OR=2.152,95%CI=1.406-3.294)。结论:本荟萃分析显示,GCS-F的保护作用可改善AIS分级。在调整了时间序列和个体研究的随机效应后,这种保护效应得到了进一步的改善。尽管多层次建模可以减少我们的局限性,但应该认为,试验的数量不足以得出强有力的结论。
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来源期刊
CiteScore
0.20
自引率
0.00%
发文量
11
审稿时长
10 weeks
期刊最新文献
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