Evidence map›Paper›PMID 39479182›Full record

ArticleOrthopaedic journal of sports medicine2024

Autograft Choice and Jumping Performance After Anterior Cruciate Ligament Reconstruction: A Comparative Study on Professional Athletes.

Guglielmo Torre, Sebastiano Vasta, Jacopo Rocchi, Rocco Papalia, Pier Paolo Mariani

Abstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers 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

2 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Guglielmo TorreVilla Stuart Sport Clinic, FIFA Medical Centre of Excellence, Rome, Italy.ORCID https://orcid.org/0000-0001-6215-8645
Sebastiano VastaForo Italico University, Rome, Italy.
Jacopo RocchiVilla Stuart Sport Clinic, FIFA Medical Centre of Excellence, Rome, Italy.
Rocco PapaliaCampus Bio-Medico University of Rome, Rome, Italy.
Pier Paolo MarianiVilla Stuart Sport Clinic, FIFA Medical Centre of Excellence, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The extensor apparatus of the knee is of paramount importance in generating the torque needed for a countermovement jump (CMJ), especially in jumping athletes. In anterior cruciate ligament reconstruction (ACLR) procedures, graft harvesting from the extensor apparatus may dramatically affect extensor strength and jumping performance. Hypothesis: The focused jump training of professional jumping athletes would increase the likelihood of restoring jumping performance after ACLR, despite the graft choice (autologous bone-patellar tendon-bone [BPTB] or hamstring [HS] tendon). Study Design: Cohort study; Level of evidence, 3. Methods: A retrospective evaluation of prospectively collected data was carried out. Only professional athletes were included, and all surgical procedures were performed by a single experienced surgeon. Data collection considered the type of surgery, sports activity, and functional evaluation at 3 months after surgery. From the functional evaluation, data on single-leg hop (SLH) test, triple hop (TH) test, and CMJ were extracted. Limb symmetry index (LSI) for maximal voluntary isometric contraction of the quadriceps and for each of the jumping tests was calculated. Multiple analysis of covariance (ANCOVA) models were used to assess mean differences among groups for the LSI in CMJ, SLH, and TH and estimate the effect of confounders. Results: From a subsequent series of 208 athletes, 44 professional athletes were included for data collection. Of these, 26 were male and 18 were female. A jumping sport (basketball, volleyball) was played by 17 athletes, while a running sport (soccer, judo, rugby, tennis, ski) was performed by 27 athletes. The mean time from injury to surgery was 17.8 ± 14.5 days. At 90 days from surgery, the overall mean LSI for CMJ was 85.3% ± 8.9%, for SLH was 92.2% ± 6.4%, and for TH was 90.8% ± 6.1%. When ANCOVA was fitted using the interaction term with BPTB autograft and jumping sport, a nonsignificant effect on LSI for CMJ ( Conclusion: The results of the present investigation on professional athletes showed that no difference occurred within the study cohort in overall jumping performance between jumping and running athletes undergoing ACLR either with BPTB or with HS tendon grafts. Although some evidence suggests that quadriceps strength may be dramatically affected by the harvesting of BPTB, the overall performance of the jump was not compromised.

Indexed as

anterior cruciate ligament reconstructiongraft choicejumping performancekneeprofessional athlete

Identifiers

PMID39479182
PMCPMC11523165

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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.