| Literature DB >> 34727958 |
Canglong Hou1, Kai Chen1, Yu Chen2, Tianjunke Zhou3, Mingyuan Yang4, Ming Li5.
Abstract
STUDYEntities:
Keywords: Adolescent; Chinese; Juvenile; Meta-analysis; Sagittal alignments
Mesh:
Year: 2021 PMID: 34727958 PMCID: PMC8561890 DOI: 10.1186/s13018-021-02773-z
Source DB: PubMed Journal: J Orthop Surg Res ISSN: 1749-799X Impact factor: 2.359
Fig. 1The illustrations of sagittal parameters including TK, LL, PT, PI and SS. As showed in left graph, TK (thoracic kyphosis) was measured as the cobb angle between the upper endplate of T4 vertebra and the lower endplate of T12 vertebra. TLJA (Thoracolumbar junctional angle) was the cobb angle between the upper endplate of T10 vertebra and the lower endplate of L2 vertebra. LL (lumbar lordosis) was the cobb angle between the upper endplate of L1 vertebra and the lower endplate of S1 vertebra. SS (sacrum slope) was the angle between the horizontal and the sacral plate. PT (pelvic tilt) was the angle between the vertical and the line through the midpoint of the sacral plate to femoral heads axis. PI (pelvic incidence) was measured as the angle subtended by a perpendicular from the upper endplate of S1 and a line connecting the center of the femoral head to the center of the upper endplate of S1. The right graph indicated the measurement of TK, LL, PT and PI by using Surgimap software
Mean values of sagittal parameters in different age cohorts
| Parameter | All subjects ( | Juveniles ( | Adolescents | |
|---|---|---|---|---|
| Age (years) | 13.14 ± 3.41 | 7.03 ± 1.42 | 14.22 ± 2.37 | |
| Gender (F/M) | 402/254 | 43/55 | 359/199 | |
| Risser sign | 2.92 ± 1.89 | 0 | 3.43 ± 1.57 | |
| TK (°) | 30.41 ± 10.44 | 32.19 ± 10.77 | 30.10 ± 10.35 | 0.798 |
| TLJA (°) | 3.71 ± 7.55 | 2.31 ± 7.79 | 3.95 ± 7.49 | 0.806 |
| LL (°) | 49.95 ± 9.04 | 46.34 ± 8.94 | 50.59 ± 8.92 | 0.945 |
| PI (°) | 41.84 ± 7.47 | 34.20 ± 4.00 | 43.18 ± 7.12 | |
| PT (°) | 7.76 ± 7.11 | 3.99 ± 6.04 | 8.42 ± 7.08 | |
| SS (°) | 34.08 ± 6.49 | 30.21 ± 6.20 | 34.76 ± 6.31 | 0.480 |
| PI-LL (°) | − 8.12 ± 9.94 | − 12.14 ± 9.76 | − 7.41 ± 9.81 | 0.576 |
| SVA (mm) | − 0.01 ± 21.57 | 0.83 ± 21.96 | − 0.16 ± 21.52 | 0.761 |
Bold values indicate a statistical difference
Radiographic sagittal parameters for juvenile and adolescent group were compared using independent samples t test. F meant female, while M meant male
Fig. 2Flow chart showing the process of selection
Characteristics of included studies in our meta-analysis
| Author | Year | Country | Ethnicity | N | Age (years) | TK (°) | LL (°) | PI (°) | PT (°) | SS (°) |
|---|---|---|---|---|---|---|---|---|---|---|
| Our results | 2019 | China | Asian | 98 | 7.03 ± 1.42 | 32.19 ± 10.77 | 46.34 ± 8.94 | 34.20 ± 4.00 | 3.99 ± 6.04 | 30.21 ± 6.20 |
| Descamps et al. | 1999 | France | Caucasian | 29 | 1–10 | 38.3 ± 9.8 | 45.6 ± 12.1 | 41.8 ± 8.0 | NR | 40.3 ± 8.7 |
| Mac-Thiong et al. | 2004 | Canada | Caucasian | 35 | 7.3 ± 1.8 | NR | 49.2 ± 12.4 | 44.6 ± 10.6 | 4.3 ± 8.1 | NR |
| Mac-Thiong et al. | 2011 | Canada | Caucasian | 167 | 8.1 ± 2.0 | 42.0 ± 10.6 | 53.8 ± 12.0 | 43.7 ± 9.0 | 5.5 ± 7.6 | 38.2 ± 7.7 |
| Our results | 2019 | China | Asian | 558 | 14.22 ± 2.37 | 30.10 ± 10.35 | 50.59 ± 8.92 | 43.18 ± 7.12 | 8.42 ± 7.08 | 34.76 ± 6.31 |
| Qiu et al. | 2012 | China | Asian | 33 | 13.6 ± 2.1 | 20.8 ± 7.8 | 49.3 ± 9.9 | 44.6 ± 11.5 | 11.3 ± 10.8 | 33.3 ± 8.2 |
| Zhu et al. | 2014 | China | Asian | 98 | 14.5 ± 1.5 | NR | 48.76 ± 10.2 | 41.2 ± 9.6 | 6.6 ± 8.1 | 34.5 ± 9.6 |
| Zhu et al. | 2014 | China | Asian | 90 | 13.9 ± 2.0 | 28.7 ± 11.0 | 46.6 ± 9.8 | 42.6 ± 9.3 | 9.9 ± 8.3 | 32.8 ± 7.1 |
| Liu et al. | 2018 | China | Asian | 60 | 10–18 | 24.8 ± 8.8 | 50.8 ± 10.7 | 38.3 ± 10.9 | 3.1 ± 9.4 | 35.2 ± 8.1 |
| Hiyama et al. | 2016 | Japan | Asian | 24 | 12–18 | 21.3 ± 7.6 | 40.9 ± 11.8 | NR | NR | 28.5 ± 8.3 |
| Descamps et al. | 1999 | France | Caucasian | 27 | 10–17 | NR | NR | 46.8 ± 11.2 | NR | NR |
| Hanson et al. | 2002 | America | Caucasian | 20 | 11.8 | NR | 52.1 ± 12.0 | 47.4 ± 7.5 | NR | NR |
| Mac-Thiong et al. | 2004 | Canada | Caucasian | 145 | 13.1 ± 2.1 | 44.2 ± 10.3 | 49.2 ± 12.4 | 49.3 ± 11.2 | 7.9 ± 7.7 | 41.4 ± 8.5 |
| Upasani et al. | 2007 | America | Caucasian | 50 | 13.5 ± 2.0 | 27.9 ± 7.9 | 55.1 ± 11.9 | 45.5 ± 8.5 | 8.4 ± 6.7 | 37.1 ± 8.5 |
| Mac-Thiong et al. | 2011 | Canada | Caucasian | 479 | 13.6 ± 1.9 | 44.8 ± 10.4 | 57.7 ± 11.1 | 46.9 ± 11.4 | 7.7 ± 8.3 | 39.1 ± 7.6 |
| Schlösser et al. | 2013 | Holland | Caucasian | 95 | 13.0 ± 1.8 | 34.9 ± 9.4 | 53.7 ± 10.1 | 43.3 ± 12.9 | 5.6 ± 8.3 | 37.7 ± 8.6 |
| Ghandhari et al. | 2013 | Iran | Caucasian | 98 | 13.6 ± 2.9 | 47.5 ± 12.7 | 39.6 ± 12.4 | 45.4 ± 10.7 | 10.3 ± 6.5 | 35.4 ± 8.1 |
| Saba Pasha et al. | 2014 | Canada | Caucasian | 35 | 10–18 | 44.0 ± 8.0 | 32.0 ± 15.0 | 48.0 ± 9.0 | 12.0 ± 7.0 | 38.0 ± 12.0 |
| Ries et al. | 2015 | America | Caucasian | 32 | 15.1 ± 1.9 | 23.5 ± 8.5 | 58.2 ± 11.9 | 48.8 ± 13.1 | 8.9 ± 9.5 | NR |
| Alzakri et al. | 2019 | France | Caucasian | 51 | 16.31 ± 1.7 | 30.21 ± 10.6 | 52.11 ± 12.0 | 49.71 ± 11.4 | 9.61 ± 7.6 | 40.01 ± 9.4 |
| Lee et al. | 2012 | Korea | Asian | 181 | 11.7 ± 4.4 | 33.2 ± 9.0 | NR | NR | 9.4 ± 6.1 | 34.9 ± 6.6 |
| Mac-Thiong et al. | 2004 | Canada | Caucasian | 180 | 12.0 ± 3.1 | 43.0 ± 10.4 | 48.5 ± 12.4 | 48.4 ± 11.2 | 7.2 ± 7.9 | 41.2 ± 8.5 |
| Mac-Thiong et al. | 2007 | Canada | Caucasian | 341 | 12.1 ± 3.3 | 44.0 ± 10.9 | 48.0 ± 11.7 | 49.1 ± 11.0 | 7.7 ± 8.0 | 41.4 ± 8.2 |
| Mac-Thiong et al. | 2011 | Canada | Caucasian | 646 | 12.1 ± 3.1 | 44.8 ± 10.6 | 56.7 ± 11.4 | 46.0 ± 10.9 | 5.2 ± 8.2 | 38.9 ± 7.6 |
Bold values indicate a statistical difference
The quality assessment according to the Newcastle Ottawa Quality Assessment Scale (NOQAS) of each study
| Study | Year | Selection | Comparability | Exposure | Total Score |
|---|---|---|---|---|---|
| Our study | 2021 | 4 | 2 | 3 | 9 |
| Descamps et al. | 1999 | 3 | 2 | 2 | 7 |
| Hanson et al. | 2002 | 3 | 2 | 2 | 7 |
| Mac-Thiong et al. | 2004 | 3 | 2 | 3 | 8 |
| Mac-Thiong et al. | 2007 | 4 | 2 | 3 | 9 |
| Upasani et al. | 2007 | 4 | 2 | 2 | 8 |
| Mac-Thiong et al. | 2011 | 4 | 2 | 3 | 9 |
| Qiu et al. | 2012 | 3 | 2 | 2 | 7 |
| Lee et al. | 2012 | 4 | 2 | 3 | 9 |
| Schlösser et al. | 2013 | 4 | 2 | 2 | 8 |
| Ghandhari et al. | 2013 | 4 | 2 | 3 | 9 |
| Pasha et al. | 2014 | 3 | 2 | 2 | 7 |
| Zhu et al. | 2014 | 4 | 2 | 3 | 9 |
| Zhu et al. | 2014 | 4 | 2 | 3 | 9 |
| Ries et al. | 2015 | 3 | 2 | 2 | 7 |
| Hiyama et al. | 2016 | 3 | 2 | 2 | 7 |
| Liu et al. | 2018 | 4 | 2 | 3 | 9 |
| Alzakri et al. | 2019 | 4 | 2 | 3 | 9 |
Newcastle Ottawa Quality Assessment Scale (NOQAS)25 was used to assess the quality of all studies. Only studies with a score above 4 were included. Valuable data from the eligible studies were extracted by two authors, and a consensus was reached by discussion
Comparisons of sagittal parameters between our results, other Asians and Caucasians
| Variables | Test of difference | Model | Test of heterogeneity | ||
|---|---|---|---|---|---|
| WMD (95% CI) | |||||
| Juveniles (our study | |||||
| TK (°) | |||||
| LL (°) | 2.86 (− 2.04, 7.76) | 0.525 | R | 0.006 | 80.2 |
| PI (°) | |||||
| PT (°) | 1.15 (− 0.24, 2.55) | 0.105 | F | 0.522 | 0 |
| SS (°) | |||||
| Adolescents | |||||
| Asians | |||||
| TK (°) | − | ||||
| LL (°) | − | ||||
| PI (°) | − 2.18 (− 4.53, 0.17) | 0.069 | R | 0.017 | 70.4 |
| PT (°) | − 1.19 (− 4.57, 2.19) | 0.490 | R | < 0.001 | 88.9 |
| SS (°) | − 1.72 (− 3.51, 0.07) | 0.060 | R | 0.014 | 68.2 |
| Caucasians | |||||
| TK (°) | |||||
| LL (°) | − 0.50 (− 5.21, 4.20) | 0.833 | R | < 0.001 | 96.4 |
| PI (°) | |||||
| PT (°) | 0.28 (− 0.96, 1.52) | 0.656 | R | < 0.001 | 75.6 |
| SS (°) | |||||
| Total populations | |||||
| TK (°) | 2.83 (− 2.99, 8.66) | 0.340 | R | < 0.001 | 98.7 |
| LL (°) | − 1.47 (− 4.74, 1.81) | 0.380 | R | < 0.001 | 95.2 |
| PI (°) | |||||
| PT (°) | − 0.19 (− 1.44, 1.07) | 0.770 | R | < 0.001 | 82.0 |
| SS (°) | 1.47 (− 0.44, 3.39) | 0.132 | R | < 0.001 | 91.9 |
| Pre-adults | |||||
| Asians | |||||
| TK (°) | NR | NR | NR | ||
| LL (°) | NR | NR | NR | NR | NR |
| PI (°) | NR | NR | NR | NR | NR |
| PT (°) | NR | NR | NR | ||
| SS (°) | 0.82 (− 0.26, 1.90) | 0.138 | NR | NR | NR |
| Caucasians | |||||
| TK (°) | |||||
| LL (°) | 1.14 (− 5.05, 7.34) | 0.718 | R | < 0.001 | 98.2 |
| PI (°) | |||||
| PT (°) | − 1.09 (− 2.76, 0.58) | 0.199 | R | < 0.001 | 87.4 |
| SS (°) | |||||
| Total populations | |||||
| TK (°) | |||||
| LL (°) | 1.14 (− 5.053, 7.338) | 0.718 | R | < 0.001 | 98.2 |
| PI (°) | |||||
| PT (°) | − 0.40 (− 2.27, 1.47) | 0.676 | R | < 0.001 | 92.5 |
| SS (°) | |||||
Bold values indicate a statistical difference
Weight mean difference (WMD) with 95%CI was used to explore the pooled results of sagittal parameters. Sub-group analyses were also performed according to ethnicity rather than the institutions where these study populations received their examinations. Furthermore, volunteers were also divided into two groups according to the age, and meta-analyses were performed in juveniles and adolescents, respectively. The heterogeneity of included studies was examined by a chi-squared-based Q statistical test and quantified by I2 metric value. If I2 value was more than 50% or P < 0.10, WMD were pooled by the random effect model; otherwise, the fixed effect model was used. Sensitivity analysis was performed to assess the impact of each study on the combined effect of the present meta-analysis
Fig. 3Forest plot describing the meta-analysis for difference of LL of adolescent between our results, other Asian populations and Caucasian populations. LL reported in our study was significantly greater than that reported in other Asian populations; however, we did not find significant difference in LL between our results and Caucasians
Fig. 4Forest plot describing the meta-analysis for difference of PI of adolescent between our results, other Asian populations and Caucasian populations. PI was found to be greater in Caucasians while no significant difference was observed our results and other Asian populations