Return-to-play testing and functional assessment following upper extremity injury in athletes: a systematic literature review
-
Published: July 23, 2026
-
Page: 551-565
Abstract
One of the toughest challenges in sports medicine is figuring out when an athlete can safely return to play after an upper extremity injury. Functional performance tests, isokinetic strength assessments, and patient-reported outcome measures are commonly used, but there is still no widely accepted, evidence-based RTP framework for shoulder, elbow, or wrist injuries. This systematic review pulled together the latest evidence on RTP assessment, pinpointed criteria backed by research, evaluated the tools available, and pointed out where studies are still lacking. The review followed PRISMA 2020 guidelines and searched the Scopus database for English-language studies published between 2021 and 2026. Two independent reviewers handled study selection and data extraction, with strong agreement (Cohen's κ = 0.87). Methodological quality was checked using the Joanna Briggs Institute checklist. Out of 633 records, only 10 studies made the cut. Four main themes came out of the analysis. First, criteria-based RTP protocols led to fewer reinjuries compared with time-based clearance, even when some functional deficits remained. Second, isokinetic rotational strength and limb symmetry turned out to be the strongest predictors of successful RTP. Third, functional tests like the Closed Kinetic Chain Upper Extremity Stability Test and Unilateral Seated Shot-Put Test showed real clinical value, but they need population-specific normative data to be more useful. Fourth, psychological readiness played its own role in RTP decisions, independent of physical measures. Wearable sensors and artificial intelligence show potential for continuous monitoring, but stronger prospective evidence is still needed. Overall, the current evidence supports a multidimensional RTP framework that combines objective strength, functional performance, and psychological readiness. At the same time, it highlights the need for standardized, pathology-specific criteria through future multicenter prospective studies.
- Return-to-play
- Functional assessment
- Upper extremity injury
- Isokinetic testing
- Patient-reported outcome

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
- Anderson, E., Stone, J. A., Dunn, M., & Heller, B. (2021). Coach approaches to practice design in performance tennis. International Journal of Sports Science & Coaching, 16(6), 1281–1292. https://doi.org/10.1177/17479541211027294
- Araújo, D., Davids, K., & Hristovski, R. (2006). The ecological dynamics of decision making in sport. Psychology of Sport and Exercise, 7(6), 653–676. https://doi.org/10.1016/j.psychsport.2006.07.002
- Beck, D., Hossner, E.-J., & Zahno, S. (2026). Exploiting prior knowledge in continuous decision-making under uncertainty: The case of tennis experts. Experimental Brain Research, 244(5), Article 92. https://doi.org/10.1007/s00221-026-07288-9
- Broadbent, D. P., Causer, J., Williams, A. M., & Ford, P. R. (2015). Perceptual-cognitive skill training and its transfer to expert performance in the field: Future research directions. European Journal of Sport Science, 15(4), 322–331. https://doi.org/10.1080/17461391.2014.957727
- Button, C., Seifert, L., Chow, J. Y., Davids, K., & Araújo, D. (2020). Dynamics of skill acquisition: An ecological dynamics approach (2nd ed.). Human Kinetics.
- Buszard, T., Reid, M., Masters, R., & Farrow, D. (2016). Scaling the equipment and play area in children’s sport to improve motor skill acquisition: A systematic review. Sports Medicine, 46(6), 829–843. https://doi.org/10.1007/s40279-015-0452-2
- Chow, J. Y. (2013). Nonlinear learning underpinning pedagogy: Evidence, challenges, and implications. Quest, 65(4), 469–484. https://doi.org/10.1080/00336297.2013.807746
- Chow, J. Y., Davids, K., Button, C., & Renshaw, I. (2016). Nonlinear pedagogy in skill acquisition: An introduction. Routledge.
- Claudino, J. G., Capanema, D. de O., de Souza, T. V., Serrão, J. C., Machado Pereira, A. C., & Nassis, G. P. (2019). Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: A systematic review. Sports Medicine – Open, 5, Article 28. https://doi.org/10.1186/s40798-019-0202-3
- Correia, V., Carvalho, J., Araújo, D., Pereira, E., & Davids, K. (2019). Principles of nonlinear pedagogy in sport practice. Physical Education and Sport Pedagogy, 24(2), 117–132. https://doi.org/10.1080/17408989.2018.1552673
- Cust, E. E., Sweeting, A. J., Ball, K., & Robertson, S. (2019). Machine and deep learning for sport-specific movement recognition: A systematic review of model development and performance. Journal of Sports Sciences, 37(5), 568–600. https://doi.org/10.1080/02640414.2018.1521769
- Davids, K., Button, C., & Bennett, S. J. (2008). Dynamics of skill acquisition: A constraints-led approach. Human Kinetics.
- Dicks, M., Button, C., & Davids, K. (2010). Examination of gaze behaviors under in situ and video simulation task constraints reveals differences in information pickup for perception and action. Attention, Perception, & Psychophysics, 72(3), 706–720. https://doi.org/10.3758/APP.72.3.706
- Fajen, B. R., Riley, M. A., & Turvey, M. T. (2009). Information, affordances, and the control of action in sport. International Journal of Sport Psychology, 40(1), 79–107.
- Farrow, D., & Robertson, S. (2017). Development of a skill acquisition periodisation framework for high-performance sport. Sports Medicine, 47(6), 1043–1054. https://doi.org/10.1007/s40279-016-0646-2
- Fitzpatrick, A., Davids, K., & Stone, J. A. (2017). Effects of Lawn Tennis Association mini tennis as task constraints on children’s match-play characteristics. Journal of Sports Sciences, 35(22), 2204–2210. https://doi.org/10.1080/02640414.2016.1261179
- Fitzpatrick, A., Davids, K., & Stone, J. A. (2018). Effects of scaling task constraints on emergent behaviours in children’s racquet sports performance. Human Movement Science, 58, 80–87. https://doi.org/10.1016/j.humov.2018.01.007
- Gibson, J. J. (1979). The ecological approach to visual perception. Houghton Mifflin.
- Giles, B., Kovalchik, S., & Reid, M. (2020). A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis. Journal of Sports Sciences, 38(1), 106–113. https://doi.org/10.1080/02640414.2019.1707411
- Giménez-Egido, J. M., Ortega, E., Verdú-Conesa, I., Cejudo, A., & Torres-Luque, G. (2020a). Using smart sensors to monitor physical activity and technical–tactical actions in junior tennis players. International Journal of Environmental Research and Public Health, 17(3), Article 1068. https://doi.org/10.3390/ijerph17031068
- Giménez-Egido, J. M., Ortega-Toro, E., Palao, J. M., & Torres-Luque, G. (2020b). Effect of scaling equipment on U-10 players tennis serve during match-play: A nonlinear pedagogical approach. Chaos, Solitons & Fractals, 139, Article 110011. https://doi.org/10.1016/j.chaos.2020.110011
- Herbaut, A., Valgalier, A., Foissac, M., McGann, J., & Issartel, J. (2023). Influence of visual and haptic cues on motor learning: Insights from tennis skill acquisition in children. Journal of Motor Behavior, 55(5), 444–452. https://doi.org/10.1080/00222895.2023.2198494
- Kovalchik, S., & Reid, M. (2018). A shot taxonomy in the era of tracking data in professional tennis. Journal of Sports Sciences, 36(18), 2096–2104. https://doi.org/10.1080/02640414.2018.1438094
- Krause, L., Farrow, D., Reid, M., Buszard, T., & Pinder, R. (2018). Helping coaches apply the principles of representative learning design: Validation of a tennis specific practice assessment tool. Journal of Sports Sciences, 36(11), 1277–1286. https://doi.org/10.1080/02640414.2017.1374684
- Krause, L., Farrow, D., Buszard, T., Pinder, R., & Reid, M. (2019a). Application of representative learning design for assessment of common practice tasks in tennis. Psychology of Sport and Exercise, 41, 36–45. https://doi.org/10.1016/j.psychsport.2018.11.008
- Krause, L., Farrow, D., Pinder, R., Buszard, T., Kovalchik, S., & Reid, M. (2019b). Enhancing skill transfer in tennis using representative learning design. Journal of Sports Sciences, 37(22), 2560–2568. https://doi.org/10.1080/02640414.2019.1647739
- Lee, M. C. Y., Chow, J. Y., Button, C., & Tan, C. W. K. (2017). Nonlinear pedagogy and its role in encouraging twenty-first century competencies through physical education: A Singapore experience. Asia Pacific Journal of Education, 37(4), 483–499. https://doi.org/10.1080/02188791.2017.1386089
- Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. PLoS Medicine, 6(7), Article e1000100. https://doi.org/10.1371/journal.pmed.1000100
- Navia, J. A., Avilés, C., Dicks, M., & Ruiz-Pérez, L. M. (2022). The spatiotemporal control of expert tennis players when returning first serves: A perception–action perspective. Journal of Sports Sciences, 40(1), 16–23. https://doi.org/10.1080/02640414.2021.1976484
- Newell, K. M. (1986). Constraints on the development of coordination. In M. G. Wade & H. T. A. Whiting (Eds.), Motor development in children: Aspects of coordination and control (pp. 341–360). Martinus Nijhoff.
- Oh, S., Yoon, B.-J., & Park, H. (2024). Location-based electrotactile feedback localizes hitting point in virtual-reality table tennis game. Biomedical Engineering Letters, 14(3), 593–604. https://doi.org/10.1007/s13534-024-00354-7
- Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71
- Pinder, R. A., Davids, K., Renshaw, I., & Araújo, D. (2011). Representative learning design and functionality of research and practice in sport. Journal of Sport & Exercise Psychology, 33(1), 146–155. https://doi.org/10.1123/jsep.33.1.146
- Piquer-Piquer, A., Crespo, M., Ramón-Llin, J., Guzmán, J. F., & Martínez-Gallego, R. (2025). Exploring the impact of equipment modifications on novice tennis players: A scoping review. Frontiers in Psychology, 16, Article 1536427. https://doi.org/10.3389/fpsyg.2025.1536427
- Reid, M., Crespo, M., Lay, B., & Berry, J. (2007). Skill acquisition in tennis: Research and current practice. Journal of Science and Medicine in Sport, 10(1), 1–10. https://doi.org/10.1016/j.jsams.2006.05.011
- Reid, M., Morgan, S., & Whiteside, D. (2016). Matchplay characteristics of Grand Slam tennis: Implications for training and conditioning. Journal of Sports Sciences, 34(19), 1791–1798. https://doi.org/10.1080/02640414.2016.1139161
- Renshaw, I., & Chow, J. Y. (2019). A constraint-led approach to sport and physical education pedagogy. Physical Education and Sport Pedagogy, 24(2), 103–116. https://doi.org/10.1080/17408989.2018.1552676
- Renshaw, I., Davids, K., Newcombe, D., & Roberts, W. (2019). The constraints-led approach: Principles for sports coaching and practice design. Routledge. https://doi.org/10.4324/9781315102351
- Rothwell, M., Davids, K., & Stone, J. (2018). Harnessing socio-cultural constraints on athlete development to create a form of life. Journal of Expertise, 1(1), 94–102.
- Seifert, L., Button, C., & Davids, K. (2013). Key properties of expert movement systems in sport: An ecological dynamics perspective. Sports Medicine, 43(3), 167–178. https://doi.org/10.1007/s40279-012-0011-z
- Starzak, M., Niźnikowski, T., Biegajło, M., Nogal, M., Arnista, W. Ł., Mastalerz, A., & Starzak, A. (2024). Attentional focus strategies in racket sports: A systematic review. PLoS ONE, 19(1), Article e0285239. https://doi.org/10.1371/journal.pone.0285239
- Thomas, J., & Harden, A. (2008). Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Medical Research Methodology, 8, Article 45. https://doi.org/10.1186/1471-2288-8-45
- Timmerman, E., De Water, J., Kachel, K., Reid, M., Farrow, D., & Savelsbergh, G. (2015). The effect of equipment scaling on children’s sport performance: The case for tennis. Journal of Sports Sciences, 33(10), 1093–1100. https://doi.org/10.1080/02640414.2014.986498
- Touzard, P., Lecomte, C., Bideau, B., Kulpa, R., Fourel, L., Fadier, M., Cantin, N., & Martin, C. (2023). There is no rush to upgrade the tennis racket in young intermediate competitive players: The effects of scaling racket on serve biomechanics and performance. Frontiers in Psychology, 14, Article 1104146. https://doi.org/10.3389/fpsyg.2023.1104146
- Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
- Whiteside, D., Cant, O., Connolly, M., & Reid, M. (2017). Monitoring hitting load in tennis using inertial sensors and machine learning. International Journal of Sports Physiology and Performance, 12(9), 1212–1217. https://doi.org/10.1123/ijspp.2016-0683
- Williams, A. M., & Jackson, R. C. (2019). Anticipation in sport: Fifty years of research and future prospects. Psychology of Sport and Exercise, 42, 34–39. https://doi.org/10.1016/j.psychsport.2018.11.014
- Woods, C. T., McKeown, I., Rothwell, M., Araújo, D., Robertson, S., & Davids, K. (2020). Sport practitioners as sport ecology designers: How ecological dynamics has progressively changed perceptions of skill “acquisition” in the sporting habitat. Frontiers in Psychology, 11, Article 654. https://doi.org/10.3389/fpsyg.2020.00654
- Wulf, G. (2013). Attentional focus and motor learning: A review of 15 years. International Review of Sport and Exercise Psychology, 6(1), 77–104. https://doi.org/10.1080/1750984X.2012.723728
- Wulf, G., & Lewthwaite, R. (2016). Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning. Psychonomic Bulletin & Review, 23(5), 1382–1414. https://doi.org/10.3758/s13423-015-0999-9