Evidence map›Paper›PMID 40606699›Full record

ArticleThe Iowa orthopaedic journal2025

Long Head of Biceps Tendinopathy: A Scoping Review of Classifications and Proposed Novel Classification System.

William Curtis, Ryan Price, Eric Kruger, Christopher Paiz, Gehron Treme, Dustin Richter, Christopher Shultz

Abstract readScoping Review
In one paragraph

Article in The Iowa orthopaedic journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

7 authors.

William CurtisUniversity of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.
Ryan PriceUniversity of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.
Eric KrugerUniversity of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.
Christopher PaizHarbor-UCLA Medical Center, West Torrance, California, USA.
Gehron TremeUniversity of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.
Dustin RichterUniversity of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.
Christopher ShultzUniversity of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While authors have subclassified long head of biceps tendon (LHBT) lesions in numerous ways, there is no classification system based solely on the arthroscopic appearance of the LHBT. We present a scoping review of the existing classification systems for LHBT tendinopathy and propose a novel classification based on its intraoperative, arthroscopic appearance. Methods: We conducted a comprehensive search of classification systems for LHBT pathology using EMBASE and Ovid-Medline platforms. Our proposed classification system consists of four types based on intraoperative arthroscopic appearance of the LHBT: normal (A), erythema without fraying (B), fraying (C), and labral anchor instability (D). Fourteen arthroscopic videos and thirteen photos were reviewed by three orthopaedic sports medicine surgeons and two orthopaedic sports medicine fellows. Intra-and inter-observer reliability were assessed using Krippendorff's Alpha (α). Results: Seventeen full length articles were included in our review, including classification systems based on visual characteristics, advanced imaging, and histology. For our proposed classification, there was excellent inter- and intra-observer reliability between all reviewers (α=0.92). Interobserver reliability when reviewing arthroscopic photos was also excellent (α=0.81). There was excellent agreement for all reviewers between video and photo cases (α=0.81). Conclusion: The current literature lacks a concise classification system for LHBT tendinopathy based on its intraoperative, arthroscopic appearance. Our proposed classification system is intended to offer a simple and reproducible way to describe LHBT tendinopathy based on intraoperative arthroscopic appearance of the tendon. This classification has excellent inter- and intra-observer reliability when reviewing arthroscopic video cases as well as excellent inter-observer reliability when reviewing arthroscopic photos. This serves as a validation of classification for a future planned randomized control trial comparing LHBT tenodesis to benign neglect in the setting of rotator cuff repair.

Indexed as

TendinopathyArthroscopyHumansbiceps tendinopathyclassificationlong head of biceps tendonshoulder arthroscopy

Identifiers

PMID40606699
PMCPMC12212322

What OpenQuestion holds

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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.