Evidence map›Paper›PMID 38312867›Full record

ArticleArthroscopy techniques2024

Tommy John Ligament Repair with Ulnar Collateral Ligament Internal Brace.

Alvarho Guzman, Nicholas Williams, Raia Francisco, Lena Reed, Samantha J Cheng, Patrick Waldron, Ethan Vallelanes, Patrick McGahan, James L Chen

Open access · goldAbstract read
In one paragraph

Article in Arthroscopy techniques, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

9 authors at 2 institutions in 1 country.

Alvarho GuzmanAdvanced Orthopaedics and Sports Medicine, San Francisco, California, U.S.A.
Nicholas WilliamsAdvanced Orthopaedics and Sports Medicine, San Francisco, California, U.S.A.
Raia FranciscoAdvanced Orthopaedics and Sports Medicine, San Francisco, California, U.S.A.
Lena ReedAdvanced Orthopaedics and Sports Medicine, San Francisco, California, U.S.A.
Samantha J ChengAdvanced Orthopaedics and Sports Medicine, San Francisco, California, U.S.A.
Patrick WaldronAdvanced Orthopaedics and Sports Medicine, San Francisco, California, U.S.A.
Ethan VallelanesAdvanced Orthopaedics and Sports Medicine, San Francisco, California, U.S.A.
Patrick McGahanAdvanced Orthopaedics and Sports Medicine, San Francisco, California, U.S.A.
James L ChenAdvanced Orthopaedics and Sports Medicine, San Francisco, California, U.S.A.
Advanced Genetic Systems (United States) · USUniversity of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ulnar collateral ligament (UCL) injuries commonly occur in overhead athletes as a result of excess valgus stress on the elbow and can be functionally debilitating, requiring surgical intervention. Since the advent of the first initial UCL reconstruction technique pioneered by Dr. Frank Jobe performed on professional baseball player Tommy John, UCL, or Tommy John Ligament reconstruction has successfully returned athletes to sport following injury and shown enhanced clinical outcomes with minimal complication rates. Tommy John surgery continues to evolve with the development of various techniques over recent years. This technical note describes a UCL repair with an internal brace using knotless suture anchors and aims to contribute to the current literature a technique that is efficacious and reproducible and offers satisfactory stability, functionality, and return to play.

Identifiers

PMID38312867
PMCPMC10838019
OpenAlexW4390198850

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.