Harvard Catalyst Profiles

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Marco Ferrone, M.D.

Co-Author

This page shows the publications co-authored by Marco Ferrone and Aditya Karhade.
Connection Strength

0.952
  1. Predicting 90-Day and 1-Year Mortality in Spinal Metastatic Disease: Development and Internal Validation. Neurosurgery. 2019 10 01; 85(4):E671-E681.
    View in: PubMed
    Score: 0.209
  2. Development of machine learning algorithms for prediction of mortality in spinal epidural abscess. Spine J. 2019 12; 19(12):1950-1959.
    View in: PubMed
    Score: 0.205
  3. Prognostic value of serum alkaline phosphatase in spinal metastatic disease. Br J Cancer. 2019 03; 120(6):640-646.
    View in: PubMed
    Score: 0.201
  4. Albumin and Survival in Extremity Metastatic Bone Disease: An Analysis of Two Independent Datasets. Nutr Cancer. 2021 Sep 28; 1-8.
    View in: PubMed
    Score: 0.060
  5. Erratum to: Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease. Clin Orthop Relat Res. 2021 04 01; 479(4):862.
    View in: PubMed
    Score: 0.058
  6. Survival After Surgery for Renal Cell Carcinoma Metastatic to the Spine: Impact of Modern Systemic Therapies on Outcomes. Neurosurgery. 2020 11 16; 87(6):1174-1180.
    View in: PubMed
    Score: 0.057
  7. Serum alkaline phosphatase is a prognostic marker in bone metastatic disease of the extremity. J Orthop. 2020 Nov-Dec; 22:346-351.
    View in: PubMed
    Score: 0.056
  8. Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease. Clin Orthop Relat Res. 2020 02; 478(2):322-333.
    View in: PubMed
    Score: 0.054
  9. Does the SORG Algorithm Predict 5-year Survival in Patients with Chondrosarcoma? An External Validation. Clin Orthop Relat Res. 2019 Oct; 477(10):2296-2303.
    View in: PubMed
    Score: 0.052
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.