Copyright: ©Author(s) 2026.
World J Orthop. Apr 18, 2026; 17(4): 116076
Published online Apr 18, 2026. doi: 10.5312/wjo.v17.i4.116076
Published online Apr 18, 2026. doi: 10.5312/wjo.v17.i4.116076
Table 1 Characteristics of patients, fractures, and study structures
| Ref. | Country | Type of study | Number of patients | Sex (male/female) | Age, mean ± SD (range) | Fracture classification (according to Schatzker classification) | Studied structures | Reported CT parameters | Reference procedure |
| Chang et al[3], 2018 | China | Prospective | 100 | 77/23 | 44.6 ± 13.28 (18 to 72) | 4 type I, 33 type II, 12 type III, 20 type IV, 18 type V and 15 type VI | LM, MM, ACL, and PCL | LPD, LPW, MPD, MPW, LAD and MAD | Arthroscopy (performed after fracture fixation) |
| Salari et al[20], 2021 | United States | Retrospective | 70 | 49/21 | 45.1 ± 12.9 | 12 type I and 58 type II | LM | LPD | Sub-meniscal arthrotomy |
| Jain et al[12], 2020 | United Kingdom | Retrospective | 88 | 58/30 | 45.25 ± 16.5 | 1 type I, 50 type II, 19 type IV, and 18 type VI | LM and MM | LPD and LPW | Open surgery |
| Kim et al[21], 2022 | South Korea | Retrospective | 42 | 26/16 | 47.2 ± 9.6 (17 to 63) | 39 type II and 3 type III | LM | LPD | Arthroscopy (the authors performed ARIF) |
| Liu et al[22], 2023 | China | Retrospective | 60 | 35/25 | Injured: 45.8 ± 18.2; intact: 44.5 ± 16.5 | 60 type IV | LM | LPD and LPW | Open surgery |
| Pu et al[10], 2022 | China | Prospective | 296 | 174/122 | 44.9 ± 15.6; injured: 46.0 ± 16.0; intact: 43.8 ± 15.2 | 296 type II | LM | LPD and LPW | They performed both open surgery evaluation (mainly for the anterior horn and body of the LM) and arthroscopic assessment of the remaining soft tissue structures |
| Ringus et al[13], 2010 | United States | Retrospective | 85 | 50/35 | 45.0 ± 17.6 (8 to 85); injured: 40.9 ± 15.1 (20 to75); intact: 46.9 ± 18.5 (18 to 85) | 2 type I, 21 type II, 9 type III, 1 type IV, 35 type V and 16 type VI | LM | LPD | Open surgery |
| Tang et al[8], 2017 | Taiwan | Retrospective | 132 | 60/72 | 45.7 ± 13.1 (18 to 75) | 4 type I, 25 type II, 20 type III, 8 type IV, 52 type V and 23 type VI | LM | LPD and LPW | Arthroscopy (the authors performed ARIF |
| Thamyongkit et al[23], 2018 | Thailand | Prospective | 10 | 6/4 | 52.4 ± 12.5 (35 to 80) | 1 type I, 1 type II, 3 type IV, 2 type V and 3 type VI | LM, MM, and PCL | LPD, LPW, MPD and MPW | Arthroscopy |
Table 2 Risk of bias assessment according to Quality Assessment of Diagnostic Accuracy Studies 2
| Ref. | Risk of Bias | Applicability | |||||
| Patient selection | Index test | Reference standard | Flow and timing | Patient selection | Index test | Reference standard | |
| Chang et al[3], 2018 | Low | Low | Low | Unclear | Low | Low | Low |
| Salari et al[20], 2021 | High | Low | Low | Unclear | Low | Low | Low |
| Jain et al[12], 2020 | Low | Low | Low | Unclear | Low | Low | Low |
| Liu et al[22], 2023 | High | Low | Low | Low | Low | Low | Low |
| Ringus et al[13], 2010 | High | Low | Low | Unclear | Low | Low | Low |
| Kim et al[21], 2022 | High | Low | Low | Unclear | Low | Low | Low |
| Thamyongkit et al[23], 2018 | High | Unclear | Unclear | Unclear | Low | Low | Low |
| Pu et al[10], 2022 | High | Low | Low | Unclear | Low | Low | Low |
| Tang et al[8], 2017 | Unclear | Low | Low | High | Low | Low | Low |
Table 3 Differences in the computed tomography scans parameters between injured and intact soft tissue structures
| Ref. | LM | MM | ACL | PCL | ||||
| Injured | Intact | Injured | Intact | Injured | Intact | Injured | Intact | |
| Chang et al[3], 2018 | LPW: 7 ± 7.4 mm; LPD: 11 ± 7.9 mm; LAD: 433.7 ± 229.1 mm2; MPW: 0.1 ± 0.8 mm; MPD: 0.3 ± 1.5 mm; MAD: 9.9 ± 61 mm2 | LPW: 4.6 ± 4.3 mm; LPD: 6 ± 6.3 mm; LAD: 258.6 ± 250.9 mm2; MPW: 0.2 ± 1 mm; MPD: 0.4 ± 1.5 mm; MAD: 20.5 ± 83.7 mm2 | LPW: 5.9 ± 6.8 mm; LPD: 5.9 ± 6.8 mm; LAD: 366.8 ± 289 mm2; MPW: 0.4 ± 1.5 mm; MPD: 0.7 ± 1.8 mm; MAD: 15.4 ± 77.5 mm2 | LPW: 5.1 ± 4.7 mm; LPD: 8.8 ± 7.6 mm; LAD: 203 ± 242.2 mm2; MPW: 0.1 ± 0.7 mm; MPD: 0.3 ± 1.4 mm; MAD: 15.7 ± 46.1 mm2 | LPW: 5.9 ± 6.8 mm; LPD: 5.9 ± 6.8 mm; LAD: 203 ± 242.2 mm2; MPW: 0.4 ± 1.5 mm; MPD: 0.7 ± 1.8 mm; MAD: 15.7 ± 46.1 mm2 | LPW: 5.1 ± 4.7 mm; LPD: 8.8 ± 7.6 mm; LAD: 366.8 ± 289 mm2; MPW: 0.1 ± 0.7 mm; MPD: 0.3 ± 1.4 mm; MAD: 15.4 ± 77.5 mm2 | LPW: 4.7 ± 4.1 mm; LPD: 8 ± 9.8 mm; LAD: 252.79.7 mm2; MPW: 1.1 ± 2.4 mm; MPD: 0.4 ± 1.4 mm; MAD: 17.1 ± 54.2 mm2 | LPW: 5.9 ± 5.6 mm; LPD: 8.4 ± 7.3 mm; LAD: 291.1 ± 30.3 mm2; MPW: 0.1 ± 0.4 mm; MPD: 0.3 ± 1.5 mm; MAD: 15.2 ± 75.6 mm2 |
| Salari et al[20], 2021 | LPD: 12.48 ± 7.17 mm | LPD: 6.4 ± 4.3 mm | NR | NR | NR | NR | NR | NR |
| Jain et al[12], 2020 | NR | NR | NR | NR | NR | NR | NR | NR |
| Kim et al[21], 2022 | NR | NR | NR | NR | NR | NR | NR | NR |
| Liu et al[22], 2023 | LPD: 15.3 ± 3.5 mm; LPW: 9.4 ± 1.8 mm | LPD: 8.4 ± 3.4 mm; LPW: 6.9 ± 0.9 mm | NR | NR | NR | NR | NR | NR |
| Pu et al[10], 2022 | LPW: 8 ± 1.4 mm; LPD: 14.8 ± 10.2 mm | LPW: 6.8 ± 1.6 mm; LPD: 9.3 ± 8.1 mm | NR | NR | NR | NR | NR | NR |
| Ringus et al[13], 2010 | LPD: 15.9 ± 8.4 mm | LPD: 9.5 ± 6.7 mm | NR | NR | NR | NR | NR | NR |
| Tang et al[8], 2017 | LPW: 2.9 ± 3.4 mm; LPD: 14.8 ± 10.2 mm | LPW: 3.5 ± 4.8 mm; LPD: 9.3 ± 8.1 mm | NR | NR | NR | NR | NR | NR |
| Thamyongkit et al[23], 2018 | LPD: 5.36 ± 3.56 mm; MPD: 1.78 ± 2.24 mm | LPD: 1.33 ± 2.17 mm; MPD: 2.44 ± 0.89 mm | LPD: 2.93 ± 4.19 mm; MPD: 3.38 ± 1.22 mm | LPD: 3.62 ± 3.06 mm; MPD: 1.26 ± 1.49 mm | NR | NR | LPD: 3.32 ± 2.29 mm; MPD: 3.29 ± 0.43 mm2 | LPD: 3.35 ± 3.83 mm; MPD: 1.82 ± 1.81 mm |
Table 4 Receiver operating characteristic and regression analysis as reported from the included studies
| Ref. | ROC analysis (cut-off point, sensitivity, specificity, and AUC) | Regression analysis (OR, 95%CI) |
| Chang et al[3], 2018 | LMi-LPW: 6.3 mm, 75.5%, 58.5%, 0.7; LMi-LAD: 112.9 mm2, 83.7%, 43.4%, 0.67; ACLi-LPW: 5.7 mm, 75.5%, 58.5%, 0.68; ACLi-LAD: 209.5 mm2, 66.7%, 65.5%, 0.66 | LMi-LPD: 4.35 (1.86-10.17); ACLi-LPW: 9.22 (2.33-36.54); ACLi-LAD: 6.81 (1.8-25.76) |
| Salari et al[20], 2021 | LMi-LPD: 4.3 mm, 100%, 29%, 0.75 | NR |
| Jain et al[12], 2020 | NR | LMi-LPW: 0.25 (0.06-1.05); LMi-LPD: 0.19 (0.04-0.97) |
| Kim et al[21], 2022 | LMi-LPD: 10.62 mm, 40.4%, 94.12%, 0.678 | LMi-LPD: 9 (1.018-79.545) |
| Liu et al[22], 2023 | LMi-LPW: 7.9 mm, 75%, 90%, 0.897; LMi-LPD: 8.4 mm, 95%, 85%, 0.898 | LMi-LPW: 6.25 (1.59-24.55); LMi-LPD: 1.52 (1.148-2.016) |
| Pu et al[10], 2022 | LMi-LPW: 7.5 mm, 70%, 70.6%, 0.724; LMi-LPD: 7.9 mm, 95%, 58.5%, 0.818 | NR |
| Ringus et al[13], 2010 | LMi-LPD: 10 mm, 79%, 67%, 0.74 | LMi-LPD: 7.89 (2.64-23.59) |
| Tang et al[8], 2017 | LMi-LPD: 11 mm, 70.3%, 61.8% | NR |
| Thamyongkit et al[23], 2018 | NR | NR |
Table 5 Leave-one-out sensitivity analysis for the lateral plateau width in predicting lateral meniscus injury
| Study omitted | Pooled MD (95%CI) | I2 | Tau2 | Conclusion |
| Overall analysis | 1.37 (0.24-2.49) | 84% | 0.95 | Original significant finding |
| Chang et al[3], 2018 | 1.18 (0.01-2.36) | 86% | 1.07 | Effect remains significant while point estimate decreases slightly |
| Liu et al[22], 2023 | 0.95 (-0.17 to 2.07) | 82% | 0.79 | Effect loses statistical significance (P > 0.05) |
| Pu et al[10], 2022 | 1.65 (0.22-3.08) | 88% | 1.43 | Effect remains significant while point estimate increases |
| Tang et al[8], 2017 | 1.94 (1.33-2.55) | 0% | 0.00 | Effect remains significant and heterogeneity is eliminated |
- Citation: Hassan AAA, Khalifa AA, Villalon AR, Hauri D, Zhu TY. Predictive value of preoperative computed tomography parameters for meniscal and cruciate ligament injuries in tibial plateau fractures: Meta-analysis. World J Orthop 2026; 17(4): 116076
- URL: https://www.wjgnet.com/2218-5836/full/v17/i4/116076.htm
- DOI: https://dx.doi.org/10.5312/wjo.v17.i4.116076
