PTMeta-AnalysisAmerican journal of physical medicine & rehabilitation2022

The Relationship of Aging and Smoking With Rotator Cuff Disease: A Systematic Review and Meta-analysis.

Alan Z Grusky, Ayush Giri, Deirdre O'Hanlon and 1 others

PMID 34121068

WHAT IT FOUND

Rotator cuff disease is much more common with age: every 10 years was linked to 1.20 times the odds, and people of 50 or over had 6.97 times the odds of those under 40.

Smoking results were inconsistent.

Key findings

01Pooling five studies that reported age as a continuous variable, every additional 10 years of age was associated with 1.20 times the odds of rotator cuff disease (95% CI 1.18 to 1.21).

02When age was grouped, the odds of rotator cuff disease compared with people under 40 were 2.71 times as high at 40 to 44 years (95% CI 1.78 to 4.13), 4.33 times as high at 45 to 49 years (95% CI 2.88 to 6.55) and 6.97 times as high at 50 years or over (95% CI 4.85 to 10.01).

03Smoking gave conflicting answers: in the five studies that recorded only whether someone currently smoked, current smokers had 1.94 times the odds of rotator cuff disease (95% CI 1.52 to 2.48), but in the five studies that separated never, former and current smokers, former smokers came out at 1.08 (95% CI 0.97 to 1.20) and current smokers at 0.97 (95% CI 0.87 to 1.07) compared with never smokers, with no association shown.

STILL TO COME

How it was doneWhat they foundWhat it means for PTs

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What it does not show

Rotator cuff disease was analysed as one broad group. Because the included studies defined tears, tendinopathy, tendinitis and syndrome differently, the review cannot tell you anything about any one of those diagnoses on its own. Five of the seven age studies and five of the ten smoking studies were cross-sectional, so age or smoking and the diagnosis were measured at the same time. That supports association, not cause. The age result is driven by one very large study, which the authors point out themselves. Smoking was usually recorded only as never, former or current. Most studies did not report pack-years, so a dose-response could not be examined. The authors could not formally check for small-study bias, and they say the pattern of stronger results in smaller studies that dichotomised smoking makes that bias likely. The findings cover traditional tobacco smoking only. Vaping and e-cigarettes were not studied. Diagnostic criteria and case definitions varied across studies, with little standardisation between them.

Declared interests

The article text supplied contains no funding statement and no conflict-of-interest declaration. The publication record lists NIH extramural research support.

The easy way to misread this

Do not repeat the two-fold rise in risk among current smokers as a settled fact about smoking. That figure comes from five smaller studies that recorded smoking only as a simple yes or no. The five studies that separated never, former and current smokers found no association at all, and the authors' largest studies found nothing either. The age findings describe how common the diagnosis is in older people, not why it happens or how they respond to treatment.

Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →