Evidence map›Paper›PMID 39906603›Full record

ArticleOrthopaedic journal of sports medicine2025

Advanced Analytic and Pitch-Tracking Metrics Associated with UCL Surgery in Major League Baseball Pitchers: A Case-Control Study.

Michael A Mastroianni, Jennifer A Kunes, Dany B El-Najjar, Kyle K Obana, Sohil S Desai, Cole R Morrissette, Frank J Alexander, Alexander J Rondon, David P Trofa, Charles A Popkin and 2 more

Abstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Michael A MastroianniColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.
Jennifer A KunesColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.
Dany B El-NajjarColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.
Kyle K ObanaColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.
Sohil S DesaiColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.
Cole R MorrissetteColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.ORCID https://orcid.org/0000-0001-5667-5056
Frank J AlexanderColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.
Alexander J RondonColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.
David P TrofaColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.
Charles A PopkinColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.
William N LevineColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.
Christopher S AhmadColumbia University Irving Medical Center/New York Presbyterian Hospital, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ulnar collateral ligament (UCL) injury rates have been rising steadily, while the recent development of advanced analytics and pitch-tracking analysis now drives player development and evaluation throughout Major League Baseball (MLB). Purpose: To evaluate the association between several advanced analytic and pitch-tracking metrics on UCL surgery rates in MLB pitchers. Study Design: Case-control study. Methods: Included in this study were MLB pitchers who underwent primary UCL reconstruction or repair from April 2018 to November 2023. Exclusion criteria were pitchers without 2 qualifying seasons of preoperative pitch-tracking data and those who previously underwent UCL surgery. Uninjured matched controls were identified in a 2:1 ratio using season, age, position, handedness, and pitch count as covariates. Advanced analytics (eg, FanGraphs wins above replacement [fWAR], expected fielding-independent pitching [xFIP], physical pitch qualities [Stuff+] strike-zone command [Location+], and overall pitching ability [Pitching+]) and various pitch-tracking metrics used commonly in MLB player evaluation were collected from public web sources sponsored by MLB and used in previous studies. Statistical analysis consisted of unpaired Results: A total of 117 MLB pitchers who underwent primary UCL reconstruction or repair were compared with 234 matched controls. Cases had significantly superior pitch velocity, fWAR, xFIP, Pitching+, and Location+ compared with controls. There was no significant difference between cases and controls in pitch counts, spin, release points, release extension, approach angles, or overall pitch movement. Binary logistic regression identified velocity, Pitching+, and decreased fastball usage as being associated with UCL surgery ( Conclusion: In this analysis of several modern advanced analytic and pitch-tracking metrics, MLB pitchers who underwent UCL surgery threw harder with less fastball usage, and had superior overall pitching ability (Pitching+) and strike-zone command (Location+) than matched controls.

Indexed as

advanced analyticsMajor League Baseballmedial ulnar collateral ligament injurythrower’s elbowTommy John surgeryUCLulnar collateral ligamentulnar collateral ligament repair

Identifiers

PMID39906603
PMCPMC11789092

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.