Evidence-Based Physical Examination for the Diagnosis of Subscapularis Tears: A Systematic Review.

CONTEXT: There is a renewed interest in diagnosing and treating subscapularis tears, but there is a paucity of clinical guidance to optimize diagnostic decision-making. OBJECTIVE: To perform a literature review to evaluate advanced maneuvers and special tests in the diagnosis of subscapularis tears and create a diagnostic algorithm for subscapularis pathology. DATA SOURCES: PubMed, MEDLINE, Ovid, and Cochrane Reviews databases. STUDY SELECTION: Inclusion criteria consisted of level 1 and 2 studies published in peer-reviewed scientific journals that focused on physical examination. STUDY DESIGN: Systematic review. LEVEL OF EVIDENCE: Level 2. DATA EXTRACTION: Individual test characteristics (bear hug, belly press, lift-off, Napoleon, and internal rotation lag sign) were combined in series and in parallel to maximize clinical sensitivity and specificity for any special test evaluated in at least 2 studies. A secondary analysis utilized subjective pretest probabilities to create a clinical decision tree algorithm and provide posttest probabilities. RESULTS: A total of 3174 studies were identified, and 5 studies met inclusion criteria. The special test combination of the bear hug and belly press demonstrated the highest positive likelihood ratio (18.29). Overall, 3 special test combinations in series demonstrated a significant impact on posttest probabilities. With parallel testing, the combination of bear hug and belly press had the highest sensitivity (84%) and lowest calculated negative likelihood ratio (0.21). CONCLUSION: The combined application of the bear hug and belly press physical examination maneuvers is an optimal combination for evaluating subscapularis pathology. Positive findings using this test combination in series with a likely pretest probability yield a 96% posttest probability; whereas, negative findings tested in parallel with an unlikely pretest probability yield a 12% posttest probability.

Analysis of Football Injuries by Position Group in Division I College Football: A 5-Year Program Review.

OBJECTIVE: The purpose of this study was to evaluate injury characteristics by position groups. DESIGN: Prospective, observational study. SETTING: A single, major Division I collegiate football program. PARTICIPANTS: All players on a collegiate football program each fall regular season. INDEPENDENT VARIABLES: Exposure to Division I collegiate football and position groups. MAIN OUTCOME MEASURES: Injury rates (IRs) per 1000 athlete exposures (AEs) and injury rate ratios (IRRs) were calculated and analyzed for all monitored injury variables, which included time in the season, body part, type of injury, game and practice injuries, mechanism of injury, and type of exposure. RESULTS: During the 2012 to 2016 fall regular seasons, there were 200 reported injuries sustained from 48 615 AE. The overall 5-year IR was 4.11 per 1000 AEs (3.57-4.72 95% confidence intervals). Skill players sustained the highest IR in the preseason (IR, 7.56) compared with line (IR, 4.26) and other (IR, 4.10) position groups. In addition, skill players demonstrated a significantly higher IRR compared with the line (IRR, 1.75, P < 0.05) and other (IRR, 1.85, P < 0.05) position groups. CONCLUSIONS: Skill players sustained most of their injuries in the preseason, whereas the linemen and other position groups suffered most of their injuries in the first half of the regular season. Skill players demonstrated a significantly higher IR in preseason, noncontact mechanism injuries, and injuries to the upper leg and thigh compared with line and other position groups. Efforts to reduce soft-tissue muscle strains in skill players targeting the preseason may provide one of the best opportunities to significantly decrease current football IRs, whereas efforts to reduce contact exposures may have the greatest effect on concussions and contact mechanism injuries for the other position group. There were no significant differences in IRs between position groups and type of exposure.

Effect of Concussions on Lower Extremity Injury Rates at a Division I Collegiate Football Program.

BACKGROUND: Football has one of the highest injury rates (IRs) in sports, ranging from 4.1 to 8.6 per 1000 athlete-exposures (AEs). Previous research has reported that athletes may be at an increased risk of suffering lower extremity (LE) injuries after a concussion. PURPOSE/HYPOTHESIS: The purpose of this study was to evaluate the rate of LE injuries in collegiate football athletes after a concussion. We predicted that the overall LE IR would increase after a concussion and that each position group would also demonstrate a similar increase in LE injuries after a concussion. STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: Daily attendance and injury records were prospectively collected by licensed team medical providers for the 2012 through 2016 college football regular seasons. Each injury report included the date of injury, position group, body part injured, and type of injury. IRs per 1000 AEs with 95% CIs were calculated to evaluate LE injuries at different time points after a concussion (remainder of season, next season, any additional seasons) and by months (<6 months, 6-12 months, >12 months). Mid-P exact tests were utilized to establish injury rate ratios (IRRs) to compare the IR between variables. RESULTS: There was no significant difference in LE IRRs between the athletes post- versus preconcussion (P = .20) or between the postconcussion and no concussion (control) athletes (P = .08). There was an increased LE IR beyond 12 months in the postconcussion group (IR, 9.08 [95% CI, 3.68-18.89]) compared with the no concussion group (IR, 2.88 [95% CI, 2.04-3.96]) (IRR, 3.16 [95% CI, 1.21-7.15]; P = .02). Line position players had an increase in LE injuries after a concussion (IRR, 6.22 [95% CI, 1.31-23.68]; P = .03) compared with linemen with no concussion. CONCLUSION: There was no initial increase in LE IRs immediately after a concussion; however, there was an increased LE IR more than 12 months after a concussion. There was no increase in LE IRs demonstrated by skill and other position groups. Line position players experienced an increased LE IR the next season after a concussion or greater than 12 months after the injury.

Effect of position, time in the season, and playing surface on Achilles tendon ruptures in NFL games: a 2009-10 to 2016-17 review.

OBJECTIVES: Achilles tendon (AT) ruptures are a potentially career-altering and ending injury. Achilles tendon ruptures have a below average return-to-play rate compared to other common orthopaedic procedures for National Football League (NFL) players. The objective of this study was to monitor the incidence and injury rates (IR) of AT ruptures that occurred during the regular season in order to evaluate the influence of player position, time of injury, and playing surface on rupture rates. METHODS: A thorough online review was completed to identify published injury reports and public information regarding AT ruptures sustained during regular season and post-season games in the National Football League (NFL) during the 2009-10 to 2016-17 seasons. Team schedules, player position details and stadium information was used to determine period of the season of injury and playing surface. IRs were calculated per 100 team games (TG). Injury rate ratios (IRR) were utilized to compare IRs. RESULTS: During eight monitored seasons, there were 44 AT ruptures in NFL games. A majority of AT ruptures were sustained in the first eight games of the regular season (n = 32, 72.7%). There was a significant rate difference for the first and second four-game segments of the regular season compared to the last two four-game segments of the regular season. Defensive players suffered a majority of AT ruptures (n = 32, 72.7%). The IR on grass was 1.00 per 100 TG compared to 1.08 per 100 TG on artificial turf (IRR: 0.93, p = .80). CONCLUSION: A significant increase in AT ruptures occurred in the first and second four game segments of the regular season compared to the last two-four game segments of the regular season. Defensive players suffered a majority of AT ruptures compared to offensive or specialist players. There was no difference between AT rupture rates and playing surface in games.