| Literature DB >> 25900943 |
M Olds1, R Ellis2, K Donaldson1, P Parmar1, P Kersten3.
Abstract
BACKGROUND: Recurrent instability following a first-time anterior traumatic shoulder dislocation may exceed 26%. We systematically reviewed risk factors which predispose this population to events of recurrence.Entities:
Keywords: Epidemiology; Meta-analysis; Recurrent; Risk factor; Shoulder
Mesh:
Year: 2015 PMID: 25900943 PMCID: PMC4687692 DOI: 10.1136/bjsports-2014-094342
Source DB: PubMed Journal: Br J Sports Med ISSN: 0306-3674 Impact factor: 13.800
Keywords used in the search strategy
| 1 | (shoulder* ADJ5 instabil*) OR (shoulder* ADJ5 dislocat*) OR (shoulder* ADJ5 stabil*) OR (shoulder* ADJ5 sublux*) OR (shoulder* ADJ5 unstab*) OR (glenohumeral ADJ5 instabil*) OR (glenohumeral ADJ5 dislocat*) OR (glenohumeral ADJ5 stabil*) OR (glenohumeral ADJ5 sublux*) OR (glenohumeral ADJ5 unstab*) OR (GHJ ADJ5 instabil*) OR (GHJ ADJ5 dislocat*) OR (GHJ ADJ5 stabil*) OR (GHJ ADJ5 sublux*) OR (GHJ ADJ5 unstab*) |
| 2 | Recurr* OR reocurr* OR redislocat* OR repeat* |
| 3 | Risk* OR factor* OR prevalen* OR predict* OR incidence OR “odds ratio” |
*Indicates truncation of search term.
Figure 1Flow diagram of article selection according to PRISMA.
Quality rating of studies included in the review according to the SIGN scale, which assesses the risk of bias and confounding present and the ability of the study to establish a causal relationship between the variables of interest and recurrent shoulder instability
| SIGN | Clear focused question | Selection bias | Selection bias | Performance bias | Attrition bias | Attrition bias | Detection bias | Detection bias | Detection bias | Detection bias | Detection bias | Detection bias | Confounding | CI | Limitation of bias | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Author | 1.1 | 1.2 | 1.3 | 1.4 | 1.5 | 1.6 | 1.7 | 1.8 | 1.9 | 1.1 | 1.11 | 1.12 | 1.13 | 1.14 | 2 | Rating† | Total‡ |
| teSlaa | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | N | + | Acceptable | 5 | |||||
| Simonet and Cofield | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | N | + | Acceptable | 5 | |||||
| Safran | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | Y | − | Low | 7 | |
| Sachs | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | Y | + | High | 9 | |
| Robinson | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | Y | + | High | 10 | |
| Kralinger | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | N | − | Low | 4 | |||||
| Vermeiren | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | N | − | Low | 2 | |||||
| Hoelen | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | N | − | Low | 3 | |||||
| Salomonsson | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | N | + | Acceptable | 7 | |||||
| Pevny | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | N | − | Low | 5 |
*Grey shading indicates retrospective studies where it was not possible to evaluate criteria.
†Rating scales refer to how well the study has minimised the risk of bias or confounding and establish a causal relationship between the risk factor and recurrent instability. High-quality studies have little or no risk of bias, and the results from these studies are unlikely to change with further research. Acceptable quality studies have some associate risk of bias and the conclusions may change in light of further studies. Low-quality studies have significant flaws related to study design and the conclusions drawn from these studies are likely to change in the light of further studies.
‡Total scores can range from 0 to 13 with lower number representing increased risk of bias and higher numbers representing prospective cohort studies with minimal risk of bias.
N, no; SIGN, Scottish Intercollegiate Guidelines Network; Y, yes.
Demographic data of the 10 included studies
| Total participant | Total recurrence (%) | Age (range) | Dominant dislocation (side) | Male | Female | Male recurrence | Female recurrence | Study design | |
|---|---|---|---|---|---|---|---|---|---|
| Robinson | 252 | 60 | 15–35 years | NR | 225 | 27 | 39% | 7% | Prospective |
| Salomonsson | 51 | 52 | 17–69 years | 57% | 42 | 9 | NR | NR | Prospective |
| Simonet and Cofield | 116 | 33 | 20–96 years* | 58 (R), 66 (L) | 82 | 34 | NR | NR | Retrospective |
| Sachs | 131 | 33 | 20–82 years* | 40% | 102 | 29 | NR | NR | Prospective |
| teSlaa | 107 | 74 | 20–88 years* | NR | 69 | 38 | 71% | 79% | Retrospective |
| Vermeiren | 154 | 25 | 15–85 | NR | 82 | 72 | 32% | 18% | Retrospective |
| Kralinger | 241 | 23 | 13–86 | 42% | 176 | 65 | NR | NR | Retrospective |
| Hoelen | 168 | 26 | 15–94 | 53% | 96 | 72 | 40% | 8% | Retrospective |
| Pevny | 52 | 4 | 40–79 | NR | 40 | 12 | 5% | 0% | Retrospective |
| Safran | 52 | 46 | 17–27 | NR | 52 | 0 | 46% | 0% | Prospective |
| 1324 | 39 | 15–96 | 966 | 358 | 47.30% | 25.50% |
*Patients younger than 20 years were excluded from analysis as data were grouped to include patients younger than 15 years.
NR, not reported.
Age as a predictor of shoulder instability
| Age | Hoelen | Kralinger | Robinson | teSlaa | Sachs | Simonet and Cofield | Vermeiren | Safran | Pevny | Salomonsson | Total | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No recurrence (%) | ≥1 recurrent episode (%) | No recurrence | ≥1 recurrent episode | No recurrence (%) | ≥1 recurrent episode (%) | No recurrence | ≥1 recurrent episode | No recurrence | ≥1 recurrent episode | No recurrence | ≥1 recurrent episode | No recurrence (%) | ≥1 recurrent episode (%) | No recurrence (%) | ≥1 recurrent episode (%) | No recurrence (%) | ≥1 recurrent episode (%) | No recurrence (%) | ≥1 recurrent episode (%)e | No recurrence | ≥1 recurrent episode | |
| 15–20 | 35 | 65 | 13–20 years | 51 | 49 | 11–20 years | 12–20 years | 14–20 years | 46 | 54 | 54 | 46 | 17 | 83 | 337 | 266 | ||||||
| 21–30 | 37 | 63 | 39% | 61 | 71 | 29 | 63% | 37% | 60 | 40 | ||||||||||||
| 31–40 | 74 | 26 | 65% | 35 | 79 | 21 | 88 | 12 | 67 | 33 | ||||||||||||
| 41–50 | 100 | 0 | 89% | 11% | 94% | 6% | 90% | 10 | 100 | 0 | 100 | 0 | 55 | 45 | 361 | 45 | ||||||
| 51–60 | 95 | 5 | 73% | 27% | 100 | 0 | ||||||||||||||||
| 61–70 | 90 | 10 | 86% | 14% | 91 | 33 | ||||||||||||||||
| 71–80 | 100 | 0 | 78% | 22% | 100 | 0 | ||||||||||||||||
| 80–100 | 100 | 0 | 73% | 27% | ||||||||||||||||||
| Total | 74 | 26 | 76% | 30% | 65% | 35% | 80% | 20% | 90 | 10 | 70 | 20 | 75 | 25 | 54 | 46 | 96 | 4 | 47 | 53 | 698 | 311 |
Figure 2Results of meta-analysis of people aged over 40 years with those aged 40 and below.
Percentage of recurrence across age group
| Age range (years) | Number of studies | Total number recurrence | Total recurrence | Total number | Percentage recurrence (%) |
|---|---|---|---|---|---|
| 15–20 | 2 studies | 53 | 56 | 109 | 51 |
| 15–30 | 6 studies | 224 | 211 | 435 | 49 |
| 21–40 | 7 studies | 319 | 147 | 413 | 36 |
| 41+ | 7 studies | 737 | 41 | 389 | 11 |
| 41–60 | 3 studies | 109 | 13 | 122 | 11 |
| 61+ | 3 studies | 102 | 11 | 113 | 10 |
Sex as a predictor for recurrent shoulder instability
| Total participants | Total recurrence (%) | Number of men | Number of women | Total recurrence in men (%) | Total recurrence in women (%) | Recurrence in men <40 years (%) | Recurrence in women <40 years (%) | |
|---|---|---|---|---|---|---|---|---|
| Robinson | 252 | 60 | 225 | 27 | 39 | 7 | 39 | 7 |
| Salomonsson | 51 | 52 | 42 | 9 | ||||
| Simonet and Cofield | 116 | 33 | 82 | 34 | 49 | 12 | 49 | 40 |
| Sachs | 131 | 33 | 102 | 29 | ||||
| teSlaa | 107 | 74 | 69 | 38 | 71 | 79 | 91 | 36 |
| Vermeiren | 154 | 25 | 82 | 72 | 30 | 18 | ||
| Kralinger | 241 | 23 | 176 | 65 | ||||
| Hoelen | 168 | 26 | 96 | 72 | 40 | 8 | 65 | 57 |
| Pevny | 52 | 4 | 40 | 12 | 5 | 0 | ||
| Safran | 52 | 46 | 52 | 0 | 46 | 0 | 46 | 0 |
| Total values and mean percentage | 657 | 39 | 966 | 358 | 47.30 | 25.50 | 46.84 | 22.22 |
Figure 3Sex and recurrent instability.
Figure 4Greater tuberosity fractures and recurrent instability.
Figure 5Bony Bankart lesions and recurrent instability.
Figure 6Nerve palsy and recurrent instability.
Figure 7Hyperlaxity and recurrent instability.
Summary of risk factors and relationship with recurrent instability
| Risk factor | Rate of recurrence |
|---|---|
| Aged 40 years and under | 13 times more likely |
| Men | 3 times more likely |
| Greater tuberosity fracture | 7 times less likely |
| Hyperlaxity | 3 times more likely |