| Literature DB >> 33097783 |
Yung-An Tsou1,2, Wen-Dien Chang3.
Abstract
This study compared the characteristic surgical parameters and clinical effects of transoral robotic surgery (TORS) and other available methods used to alleviate obstructive sleep apnea. Articles on TORS and other surgeries for obstructive sleep apnea were identified in the PubMed and EMBASE databases. Two investigators independently reviewed the articles and classified the data for meta-analysis. The pooled effect sizes of TORS (standardized mean difference; SMD = - 2.38), coblation tongue base resection (CTBR; SMD = - 2.00) and upper airway stimulation (UAS; SMD = - 0.94) revealed significant improvement in the apnea-hypopnea index (AHI; p < 0.05). The lowest O2 saturation reported was significantly increased following TORS (SMD = 1.43), CTBR (SMD = 0.86) and UAS (SMD = 1.24, p < 0.05). Furthermore, TORS (SMD = - 2.91) and CTBR (SMD = - 1.51, p < 0.05) significantly reduced the Epworth Sleepiness Scale (ESS) score. No significant difference in operation time, success rate, or instances of complication were observed between TORS and the other compared interventions. The use of TORS in obstructive sleep apnea has the same rate of success and failure as other methods of surgical intervention for obstructive sleep apnea with no statistical difference in operation times. The reported clinical effects on the AHI, lowest O2 saturation, and ESS scores of TORS were similar to those of other surgeries.Entities:
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Year: 2020 PMID: 33097783 PMCID: PMC7585414 DOI: 10.1038/s41598-020-75215-1
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Flowchart of study selection.
The results of QUADAS-2 in included studies.
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| Patient selection | Index test | Reference standard | Flow and timing | Patient selection | Index test | Reference standard | |
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, low risk; , high risk, ?, unclear risk.
Figure 2Funnel plot analysis of publication bias in included studies.
Overview of studies on TORS and compared studies.
| Author (year) | Design | Intervention (n) | Obstructive sleep apnea patients | Success after intervention (n) | Clinical outcomes | ||
|---|---|---|---|---|---|---|---|
| Age | Gender (M/F) | BMII (kg/m2) | |||||
| Hwang (2019)[ | Retrospective | TORS (16) | 45.1 ± 13.4 | 14/2 | 25.8 ± 3.4 | 12 | Decrease AHI* and ESS, and increase lowest O2 saturation* |
| CTBR (29) | 39.8 ± 10.8 | 26/3 | 26.8 ± 2.8 | 18 | Decrease AHI* and ESS, and increase lowest O2 saturation* | ||
| Babademez (2019)[ | Retrospective | TORS (37) | 40.9 ± 9.2 | 28/9 | 27.0 ± 4.4 | 28 | Decrease AHI* and ESS* |
| CTBR (33) | 39.4 ± 8.5 | 25/8 | 28.3 ± 3.9 | 26 | Decrease AHI* and ESS* | ||
| Lan (2019)[ | Retrospective | TORS (16) | 39.4 ± 12.3 | 15/1 | 28.2 ± 3.8 | 8 | Decrease AHI* and ESS*, and increase lowest O2 saturation* |
| CTBR (17) | 38.7 ± 11.5 | 13/4 | 27.4 ± 5.6 | 10 | Decrease AHI* and ESS*, and increase lowest O2 saturation* | ||
| Huntley (2019)[ | Retrospective | TORS (24) | 46.4 ± 13.9 | 20/4 | 29.6 ± 3.8 | 13 | Decrease AHI and ESS, and increase lowest O2 saturation |
| UAS(76) | 61.9 ± 12.0 | 50/26 | 29.4 ± 4.1 | 66 | Decrease AHI and ESS, and increase lowest O2 saturation | ||
| Yu (2019)[ | Retrospective | TORS(20) | 53a | 16/4 | < 35 | 15b | Decrease AHI and ESS, and increase lowest O2 saturation |
| UAS(29) | 62a | 25/4 | < 35 | 23b | Decrease AHI and ESS, and increase lowest O2 saturation | ||
| Aynacı (2018)[ | Pre-post test | TORS(20) | 45.0 ± 7.1 | 16/4 | NA | 20 | Decrease AHI* and ESS*, and increase lowest O2 saturation* |
| Radiofrequency(20) | 41.7 ± 8.4 | 17/3 | NA | 20 | Decrease AHI* and ESS*, and increase lowest O2 saturation* | ||
| Karaman (2017)[ | Prospective | TORS(10) | 45.1 ± 7.2 | 16/4 | NA | 10 | Decrease AHI and ESS, and increase lowest O2 saturation |
| CO2 laser(10) | 10 | Decrease AHI and ESS, and increase lowest O2 saturation | |||||
| Folk (2017)[ | Retrospective | TORS(45) | 48.2 ± 11.6 | 33/12 | 32.3 ± 4.8 | 34 | Decrease AHI* and ESS*, and increase lowest O2 saturation* |
| EPMG(16) | 46.3 ± 8.4 | 12/4 | 32.5 ± 3.5 | 9 | Decrease AHI and ESS, and increase lowest O2 saturation | ||
NA, not available; M/F, male/female; BMI, body mass index; TORS, transoral robotic surgery; CTBS, coblation tongue base resection; UAS, upper airway stimulation; EPMG, endoscopic partial midline glossectomy; AHI, apnea–hypopnea index; ESS, Epworth Sleepiness Scale.
aAverage age; b cure no. of patients; *Statistical significance in pre- and post-operation (p < 0.05).
Effect sizes on AHI among the interventions.
| Author (year) | Intervention | n | Weight (%) | SMD | SE | 95% CI | p |
|---|---|---|---|---|---|---|---|
| Hwang (2019)[ | TORS | 16 | 11.42 | − 1.82 | 0.41 | − 2.66 to − 0.97 | |
| Babademez (2019)a,[ | TORS | 37 | 12.01 | − 2.71 | 0.32 | − 3.34 to − 2.07 | |
| Babademez (2019)b,[ | TORS | 37 | 12.06 | − 2.55 | 0.31 | − 3.17 to − 1.93 | |
| Lan (2019)[ | TORS | 16 | 11.65 | − 1.24 | 0.37 | − 2.01 to 0.47 | |
| Huntley (2019)[ | TORS | 24 | 12.17 | − 0.66 | 0.29 | − 1.25 to − 0.08 | |
| Yu (2019)[ | TORS | 20 | 11.89 | − 1.26 | 0.34 | − 1.95 to − 0.57 | |
| Aynacı (2018)[ | TORS | 20 | 8.16 | − 7.06 | 0.84 | − 8.78 to − 5.34 | |
| Karaman (2017)[ | TORS | 10 | 8.21 | − 4.58 | 0.84 | − 6.34 to − 2.81 | |
| Folk (2017)[ | TORS | 45 | 12.43 | − 1.63 | 0.24 | − 2.11 to − 1.15 | |
| Total random effect | TORS | 225 | 100.00 | − 2.38 | 0.40 | − 3.15 to − 1.59 | 0.001 |
| Q = 83.29, df = 8, I2 = 90.40% | 0.001 | ||||||
| Hwang (2019)[ | CTBR | 29 | 25.56 | − 1.64 | 0.30 | − 2.24 to − 1.04 | |
| Babademez (2019)a,[ | CTBR | 33 | 24.49 | − 3.12 | 0.36 | − 3.85 to − 2.40 | |
| Babademez (2019)b,[ | CTBR | 33 | 25.12 | − 2.52 | 0.32 | − 3.18 to − 1.87 | |
| Lan (2019)[ | CTBR | 17 | 24.82 | − 0.72 | 0.34 | − 1.42 to − 0.01 | |
| Total random effect | CTBR | 112 | 100 | − 2.00 | 0.50 | − 2.99 to − 1.01 | 0.001 |
| Q = 27.13, df = 3, I2 = 88.94% | 0.001 | ||||||
| Huntley (2019)[ | UAS | 76 | 68.82 | − 0.80 | 0.23 | − 1.27 to -0.33 | |
| Yu (2019)[ | UAS | 29 | 31.18 | − 1.25 | 0.35 | − 1.97 to − 0.53 | |
| Total fixed effect | UAS | 105 | 100 | − 0.94 | 0.19 | − 1.33 to − 0.55 | 0.001 |
| Q = 1.10, df = 1, I2 = 9.48% | 0.29 | ||||||
| Aynacı (2018)[ | Radiofrequency | 20 | NA | − 2.42 | 0.41 | − 3.25 to − 1.58 | |
| Karaman (2017)[ | CO2 laser | 10 | NA | − 5.96 | 1.03 | − 8.14 to − 3.79 | |
| Folk (2017)[ | EPMG | 16 | NA | − 0.66 | 0.35 | − 1.39 to 0.05 | |
SMD standardized mean difference, SE standard error, CI confidence intervals, TORS transoral robotic surgery, CTBS coblation tongue base resection, UAS upper airway stimulation, EPMG endoscopic partial midline glossectomy.
Effect sizes on lowest O2 saturation among the interventions.
| Author (year) | Intervention | n | Weight (%) | SMD | SE | 95% CI | p |
|---|---|---|---|---|---|---|---|
| Hwang (2019)[ | TORS | 16 | 17.18 | 0.81 | 0.35 | 0.07 to 1.54 | |
| Lan (2019)[ | TORS | 16 | 16.85 | 1.56 | 0.39 | 0.75 to 2.37 | |
| Huntley (2019)[ | TORS | 24 | 17.76 | 0.36 | 0.28 | − 0.21 to 0.93 | |
| Yu (2019)[ | TORS | 20 | 17.21 | 0.23 | 0.35 | − 0.50 to 0.96 | |
| Aynacı (2018)[ | TORS | 20 | 12.75 | 6.52 | 0.79 | 4.92 to 8.13 | |
| Folk (2017)[ | TORS | 45 | 18.25 | 0.51 | 0.21 | 0.09 to 0.93 | |
| Total random effect | TORS | 141 | 100 | 1.43 | 0.49 | 0.45 to 2.41 | 0.004 |
| Q = 62.50, df = 9, I2 = 92% | 0.001 | ||||||
| Hwang (2019)[ | CTBR | 29 | 60.36 | 1.06 | 0.27 | 0.50 to 1.61 | |
| Lan (2019)[ | CTBR | 17 | 39.64 | 0.57 | 0.34 | − 0.12 to 1.27 | |
| Total fixed effect | CTBR | 46 | 100 | 0.86 | 0.21 | 0.44 to 1.29 | 0.001 |
| Q = 1.22, df = 1, I2 = 18.32% | 0.26 | ||||||
| Huntley (2019)[ | UAS | 76 | 74.74 | 1.33 | 0.17 | 0.98 to 1.68 | |
| Yu (2019)[ | UAS | 29 | 25.26 | 0.978 | 0.30 | 0.35 to 1.59 | |
| Total fixed effect | UAS | 105 | 100 | 1.24 | 0.15 | 0.93 to 1.54 | 0.001 |
| Q = 1.22, df = 1, I2 = 18.32% | 0.31 | ||||||
| Aynacı (2018)[ | Radiofrequency | 20 | NA | 2.57 | 0.42 | 1.71 to 3.43 | |
| Folk (2017)[ | EPMG | 16 | NA | 0.32 | 0.34 | − 0.38 to 1.02 | |
SMD standardized mean difference, SE standard error, CI confidence intervals, TORS transoral robotic surgery, CTBS coblation tongue base resection, UAS upper airway stimulation, EPMG endoscopic partial midline glossectomy.
Effect sizes on ESS among the interventions.
| Author (year) | Intervention | n | Weight (%) | SMD | SE | 95% CI | p |
|---|---|---|---|---|---|---|---|
| Hwang (2019)[ | TORS | 16 | 21.02 | − 0.92 | 0.36 | − 1.66 to − 0.19 | |
| Babademez (2019)[ | TORS | 37 | 21.01 | − 3.39 | 0.36 | − 4.11 to − 2.67 | |
| Lan (2019)[ | TORS | 16 | 21.02 | − 0.81 | 0.35 | − 1.54 to − 0.08 | |
| Aynacı (2018)[ | TORS | 20 | 15.43 | − 9.06 | 1.06 | − 11.21 to − 6.92 | |
| Folk (2017)[ | TORS | 45 | 21.52 | − 2.01 | 0.25 | − 2.52 to − 1.50 | |
| Total random effect | TORS | 134 | 100 | − 2.91 | 0.76 | − 4.40 to − 1.41 | 0.001 |
| Q = 78.97, df = 4, I2 = 94.93% | 0.001 | ||||||
| Hwang (2019)[ | CTBR | 29 | 33.92 | − 0.51 | 0.26 | − 1.04 to 0.01 | |
| Babademez (2019)[ | CTBR | 33 | 32.79 | − 3.57 | 0.39 | − 4.35 to − 2.78 | |
| Lan (2019)[ | CTBR | 17 | 33.30 | − 0.51 | 0.34 | − 1.20 to 0.18 | |
| Total random effect | CTBR | 79 | 100.00 | − 1.51 | 0.92 | − 3.33 to 0.30 | 0.10 |
| Q = 46.91, df = 2, I2 = 95.74% | 0.001 | ||||||
| Aynacı (2018)[ | Radiofrequency | 20 | NA | − 4.19 | 0.56 | − 5.33 to − 3.05 | |
| Folk (2017)[ | EPMG | 16 | NA | − 0.83 | 0.36 | − 1.56 to − 0.09 | |
SMD standardized mean difference, SE standard error, CI confidence intervals, TORS transoral robotic surgery, CTBR coblation tongue base resection, EPMG endoscopic partial midline glossectomy.
Figure 3Forest plot depicting operation time between TORS and compared intervention.
Figure 4Forest plot depicting success rate between TORS and compared intervention.
Figure 5Forest plot depicting complication rate between TORS and compared intervention.