Validation of the Pittsburgh Instability Tool (PIT) Score: The PIT Score Predicts Outcomes Following Arthroscopic Anterior Shoulder Stabilization in Patients with Subcritical Bone Loss
Ryan Lin, Shaquille Charles, Amin Karimi, Matthew Kolevar, Asher Mirvish, Jenna Dvorsky, Linda Park, Michael Kann, Nicolas Aycardi, Jonathan Hughes, Volker Musahl, Bryson Lesniak, Justin Arner, Albert Lin · 2026
Read Validation of the Pittsburgh Instability Tool (PIT) Score: The PIT Score Predicts Outcomes Following Arthroscopic Anterior Shoulder Stabilization in Patients with Subcritical Bone Loss by Ryan Lin, Shaquille Charles, Amin Karimi, Matthew Kolevar, Asher Mirvish, Jenna Dvorsky, Linda Park, Michael Kann, Nicolas Aycardi, Jonathan Hughes, Volker Musahl, Bryson Lesniak, Justin Arner, Albert Lin (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13219913.txt.
Description
Lin and co-authors validate a risk score meant to predict failure after keyhole surgery to stabilize a dislocating shoulder. The Pittsburgh Instability Tool weighs factors like loose joints, young age, near track bone lesions, and repeat episodes before surgery. Their 2026 study reviews 120 patients aged fourteen to forty treated at one center from 2021 to 2023, with or without an added filling procedure.
Failure meant the shoulder slipped again or needed another operation. Patients were split into low, moderate, high, and extreme risk bands by score. The study tests whether the band predicts short term failure, and whether the added procedure moves a patient into a safer band. The work aims to match surgical choices to each patient's measured risk.
Catalog record
| CREATOR | Ryan Lin, Shaquille Charles, Amin Karimi, Matthew Kolevar, Asher Mirvish, Jenna Dvorsky, Linda Park, Michael Kann, Nicolas Aycardi, Jonathan Hughes, Volker Musahl, Bryson Lesniak, Justin Arner, Albert Lin |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 4 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |