Rent test of shoulder

Rent test of Shoulder

  • This test is used in the clinic to check the injury in the rotator cuff.
  • Into rotator cuff include to 4 muscles :
  • Supraspinatus ,infraspiantus,subscapularis,teres minor.
  • This clinical test is applied by to physiotherapist/doctor.
  • This test is applied when the patient does complain about shoulder pain & restricted to ROM of abduction.

Purpose of the Rent test of shoulder :

  • This test is used to check the rotator cuff tears.
  • This test also checks the injury of the rotator cuff tears.

How do you perform the Rent test of the shoulder?

Rent test
Rent test
  • Patient position of the test is sitting position.
  • Into a sitting position with the arm by the side with the examiner standing behind.
  • The examiner palpates the anterior margin of the patient’s acromion with one hand while holding the patient’s elbow at 90′ with the other hand.
  • The examiner then passively extended the patient’s arm & slowly medially & laterally rotates means internal & external rotates the patient’s humerus while palpating the greater tuberosity & rotator cuff tendons.

What is the result of the Rent test of the shoulder?

  • The presence of depression means rent/defect of about one finger width/a more prominent greater tuberosity means relative to the other side, in this situation this test is positive for a rotator cuff tear.

What is Evidence of the Rent test of the shoulder?

  • There are available three studies :
  • The first study is described by Wolf & Agrawal.
  • Sensitivity of the Rent test = 95.7%
  • Specificity of the Rent test = 96.8%
  • A positive predictive value of the Rent test = 95.7%
  • A negative predictive value of the Rent test = 96.8%
  • Diagnostic accuracy of the Rent test = 96.3%.
  • The second study is described by Cleland
  • +LR of the Rent test = 32.0
  • -LR of the Rent test =.04
  • The third study is described by Lyons and Tomlinson
  • Sensitivity of the Rent test = 91%
  • Specificity of the Rent test =75%
Vaishali Ladva
Author: Vaishali Ladva

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