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A Systematic Review of Surgical Treatment for Refractory Patellar Tendinopathy

2025· review· en· W4409350780 on OpenAlexaff
John D. Mueller, Sohil S. Desai, Kyle K. Obana, William K. Crockatt, Charles A. Popkin

Bibliographic record

VenueJAAOS Global Research and Reviews · 2025
Typereview
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsObject Research Systems (Canada)
Fundersnot available
KeywordsMedicineRefractory (planetary science)Systematic reviewPhysical therapyPatellaSurgeryMEDLINE

Abstract

fetched live from OpenAlex

INTRODUCTION: With the advent of new classification systems and surgical options, clarification is needed regarding the most effective surgical management for refractory patellar tendinopathy (PT). The objective of this systematic review is to investigate outcomes of surgical management of refractory PT. METHODS: PubMed was searched from January 1, 2000, through July 12, 2021, using the Medical Subject Headings function and the following Boolean operators: "Patellar Ligament/surgery"[Mesh] NOT "Anterior Cruciate Ligament"[Mesh]. Original research articles that discussed surgical management of PT were included, and outcomes were recorded. RESULTS: Fifteen studies (2 studies level 1 and 13 studies level 4) were included comprising 485 patients with an average age of 29.5 years and 523 patellar tendons treated. The seven studies reporting both preoperative and postoperative Victorian Institute of Sports Assessment scores demonstrated increases of 39.60, whereas the seven studies reporting visual analog scores demonstrated decreases of 6.11. Average return-to-play rate was 87.08%. Study designs and in surgical techniques were heterogenous, which precluded the ability to perform a meta-analysis. DISCUSSION: Surgical treatment of refractory PT leads to notable improvement in patient-reported outcomes and high return-to-play rates. However, there is a paucity of high-quality research investigating newer surgical options and classification systems for PT.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.507
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.158
GPT teacher head0.512
Teacher spread0.354 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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