Evidence map›Paper›PMID 40259461›Full record

ReviewJBJS reviews2025

Myths and Facts About Allograft Use in Anterior Cruciate Ligament Reconstruction: A Detailed Review of the Literature.

Benjamin R Paul, Joey Robaina, Romir Parmar, Thomas Carter, Anup Shah

Abstract readReview
In one paragraph

Review in JBJS reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

5 authors.

Benjamin R PaulCreighton University School of Medicine, Phoenix, Arizona.ORCID 0009-0006-2136-8623
Joey RobainaDepartment of Orthopedic Surgery, University of Arizona College of Medicine-Phoenix, Phoenix, Arizona.ORCID 0000-0003-3956-8034
Romir ParmarDepartment of Orthopedic Surgery, University of Arizona College of Medicine-Phoenix, Phoenix, Arizona.ORCID 0009-0008-1378-2108
Thomas CarterDepartment of Orthopedic Surgery, University of Arizona College of Medicine-Phoenix, Phoenix, Arizona.ORCID 0000-0001-7114-3015
Anup ShahDepartment of Orthopedic Surgery, University of Arizona College of Medicine-Phoenix, Phoenix, Arizona.ORCID 0000-0003-3856-1367

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

» Patient-Specific Graft Selection: Graft selection for anterior cruciate ligament reconstruction (ACLR) requires a nuanced approach that considers various patient-specific factors, such as age, activity level, comorbidities, and surgical goals. Generally, allografts are preferred for older patients with less active lifestyles, whereas autografts are more suitable for younger, active patients because of autografts' lower retear rates.» Impact of Sterilization Techniques: Sterilization and processing techniques significantly affect the biomechanical properties and outcomes of allografts. While high-dose irradiation reduces allograft strength and compromises healing, low-dose irradiation or nonirradiated grafts offer superior biomechanical and clinical outcomes. However, standardized sterilization protocols are yet to be established.» Comparative Outcomes of Allografts and Autografts: Evaluating the literature on allografts vs. autografts in ACLR remains challenging because of the significant variability in patient characteristics, outcome measures, graft strength testing, and sterilization techniques across studies.

Indexed as

AllograftsAnterior Cruciate Ligament ReconstructionHumansTransplantation, Homologous

Identifiers

PMID40259461
PMCPMC12011438

What OpenQuestion holds

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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.