| Literature DB >> 33057143 |
Fu-An Yang1, Chun-De Liao2,3, Chin-Wen Wu2,4, Ya-Chu Shih1, Lien-Chen Wu5,6, Hung-Chou Chen7,8,9.
Abstract
Because of its healing properties, platelet-rich plasma (PRP) has been applied to the bone-tendon interface during arthroscopic rotator cuff repair to improve surgical outcomes. However, its effects remain ambiguous. Therefore, we conducted this systematic review and meta-analysis to assess the effects of PRP on retear rate and functional outcomes. Randomised control trials were identified and extracted. Data collection was completed on 15 February 2020. The results are expressed as the risk ratio (RR) for the categorical variables and weighted mean difference for the continuous variables, with 95% confidence intervals (CIs). Analyses were performed using RevMan 5.3 software. Seven randomised controlled trials published from 2013 to 2018, with 541 patients in total, were included. The results revealed a significant decrease in retear rate [RR 0.38, 95% CI (0.22, 0.68), P = 0.0009). Furthermore, a significant improvement was observed regarding short-term Constant score [mean difference = 3.28, 95% CI (1.46, 5.11), P = 0.0004), short-term University of California at Los Angeles activity score [mean difference = 1.60, 95% CI (0.79, 2.42), P = 0.0001], and short-term visual analogue scale score [mean difference = - 0.14, 95% CI (- 0.23, - 0.05), P = 0.002]. This systematic review indicates the efficacy of PRP when applied to the bone-tendon interface during arthroscopic rotator cuff repair.Entities:
Mesh:
Year: 2020 PMID: 33057143 PMCID: PMC7560855 DOI: 10.1038/s41598-020-74341-0
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Flow chart showed detail information for article inclusion and exclusion (From Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6(7): e1000097. 10.1371/journal.pmed1000097).
Characteristics of the included randomised control trials (RCTs).
| Author, year | Rotator cuff tear | Diagnosed | Procedure | PRP group | Control group | Follow-up (months) | Follow-up image | Outcome | ||
|---|---|---|---|---|---|---|---|---|---|---|
| n | mean age (SD) | n | mean age (SD) | |||||||
| Eduardo Angeli Malavolta, 2014[ | Complete supraspinatus tear (< 30 mm) | MRI | Single-row repair | 27 | 55.3 (8.3) | 27 | 54.07 (6.59) | 24 | MRI | (1), (2), (3), (5) |
| Vivek Pandey, 2016[ | Full-thickness medium to large rotator cuff tear | MRI or US | Single-row repair | 56 | 54.8 (8.4) | 54 | 54.1 (8.3) | 24 | US | (1), (2), (3), (5) |
| Eduardo Angeli Malavolta, 2018[ | Complete supraspinatus tear (> 30 mm) | MRI | Single-row repair | 39 | 54 (6.5) | 36 | 55.4 (8.4) | 60 | MRI | (1), (2), (3), (5) |
| Chris Hyunchul Jo, 2013[ | Large to massive rotator cuff tear (> 30 mm) | MRI | Double-row repair | 24 | 64.21 (6.09) | 24 | 61.92 (8.36) | 12 | MRI and CTA | (1), (2), (3), (4), (5) |
| Chris Hyunchul Jo, 2015[ | Median to large rotator cuff tear (> 10 mm, < 50 mm) | MRI | Double-row repair | 37 | 60.08 (4.88) | 37 | 60.92 (7.34) | 12 | MRI | (1), (2), (3), (5) |
| Zhenxiang ZHANG, 2016[ | Full-thickness rotator cuff tear (> 10 mm) | MRI | Double-row repair | 30 | 56.9 (6) | 30 | 57.2 (7.4) | 12 | MRI | (1), (2), (4), (5) |
| Matthias Flury, 2016[ | Complete rotator cuff tear of the supraspinatus tendon | MRI | Double-row repair | 60 | 57.8 (8) | 60 | 58.9 (8.2) | 24 | MRI or US | (1) |
| n total | 273 | 268 | ||||||||
(1) Retear rate, 7 RCTs; (2) Constant score, 6 RCTs; (3) UCLA score, 5 RCTs; (4) DASH score, 2 RCTs; (5) VAS score, 6 RCTs.
PRP platelet-rich plasma, MRI magnetic resonance imaging, US ultrasonography, UCLA score University of California at Los Angeles activity score, DASH score disabilities of the arm, shoulder, and hand score, VAS visual analogue scale score.
Figure 2Quality assessment.
Figure 3Forest plot for the re-tear rate.
Figure 4Forest plot for the short-term constant score.
Figure 5Forest plot for the long-term constant score.
Figure 6Forest plot for the short-term UCLA score.
Figure 7Forest plot for the long-term UCLA score.
Figure 8Forest plot for the short-term DASH score.
Figure 9Forest plot for the short-term VAS score.
Figure 10Forest plot for the long-term VAS score.
Summary of subgroup analysis.
| Outcome | Single-row repair | Double-row repair | Overall |
|---|---|---|---|
| Retear rate (RR, 95% CI) | 0.36 [0.08, 1.56] | 0.40 [0.21, 0.77]* | 0.38 [0.22, 0.68]* |
| Short-term Constant score (MD, 95% CI) | 4.10 [1.59, 6.61]* | 2.37 [− 0.28, 5.03] | 3.28 [1.46, 5.11]* |
| Long-term Constant score (MD, 95% CI) | − 0.10 [− 4.35, 4.15] | – | − 0.10 [− 4.35, 4.15] |
| Short-term UCLA score (MD, 95% CI) | 1.76 [0.82, 2.69]* | 1.10 [− 0.59, 2.79] | 1.60 [0.79, 2.42]* |
| Long-term UCLA score (MD, 95% CI) | − 0.32 [− 1.89, 1.24] | – | − 0.32 [− 1.89, 1.24] |
| Short-term DASH score (MD, 95% CI) | − 0.05 [− 4.35, 4.25] | – | − 0.05 [− 4.35, 4.25] |
| Short-term VAS score (MD, 95% CI) | − 0.28 [− 0.49, − 0.08]* | − 0.11 [− 0.19, − 0.03]* | − 0.14 [− 0.23, − 0.05]* |
| Long-term VAS score (MD, 95% CI) | − 0.16 [− 0.33, 0.01] | – | − 0.16 [− 0.33, 0.01] |
‘*’ Shows statistical differences; ‘–’ means not assessable.
UCLA score University of California at Los Angeles activity score, DASH score disabilities of the arm, shoulder, and hand score, VAS visual analogue scale score, RR risk ratio, MD mean difference, CI confidence interval.