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Connection

Robert McCarthy to Predictive Value of Tests

This is a "connection" page, showing publications Robert McCarthy has written about Predictive Value of Tests.
Connection Strength

0.324
  1. Thermal quantitative sensory testing to predict postoperative pain outcomes following gynecologic surgery. Pain Med. 2014 May; 15(5):857-64.
    View in: PubMed
    Score: 0.102
  2. Sensory testing of distal sural and posterior tibial nerves provides early prediction of surgical anesthesia after single-injection infragluteal-parabiceps sciatic nerve block. Anesth Analg. 2010 Mar 01; 110(3):951-7.
    View in: PubMed
    Score: 0.076
  3. The Utility of Prostate Specific Antigen Density, Prostate Health Index, and Prostate Health Index Density in Predicting Positive Prostate Biopsy Outcome is Dependent on the Prostate Biopsy Methods. Urology. 2019 07; 129:153-159.
    View in: PubMed
    Score: 0.036
  4. A Prospective Randomized Trial of Prognostic Genicular Nerve Blocks to Determine the Predictive Value for the Outcome of Cooled Radiofrequency Ablation for Chronic Knee Pain Due to Osteoarthritis. Pain Med. 2018 08 01; 19(8):1628-1638.
    View in: PubMed
    Score: 0.035
  5. Palliation of abdominal aortic aneurysms in the endovascular era. Eur J Vasc Endovasc Surg. 2013 Jan; 45(1):37-43.
    View in: PubMed
    Score: 0.023
  6. Assessment of chronic hepatitis and fibrosis: comparison of MR elastography and diffusion-weighted imaging. AJR Am J Roentgenol. 2011 Mar; 196(3):553-61.
    View in: PubMed
    Score: 0.021
  7. Utility of diffusion-weighted MRI in characterization of adrenal lesions. AJR Am J Roentgenol. 2010 Feb; 194(2):W179-85.
    View in: PubMed
    Score: 0.019
  8. Preoperative airway assessment: predictive value of a multivariate risk index. Anesth Analg. 1996 Jun; 82(6):1197-204.
    View in: PubMed
    Score: 0.007
  9. Thromboelastography as an indicator of post-cardiopulmonary bypass coagulopathies. J Clin Monit. 1987 Jan; 3(1):25-30.
    View in: PubMed
    Score: 0.004
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.