Evidence map›Paper›PMID 41853453›Full record

ReviewCureus2026

Graft-Site Morbidity in Anterior Cruciate Ligament (ACL) Reconstruction: A Scoping Review of Assessment Techniques and Outcomes.

Peter M Ciari, Jillian Day, Serena Chen, Karen Bontekoe, Edward Merino, Joshua Karron

Abstract readReview
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Peter M CiariResearch, California Health Sciences University - College of Osteopathic Medicine, Clovis, USA.
Jillian DayResearch, California Health Sciences University - College of Osteopathic Medicine, Clovis, USA.
Serena ChenResearch, California Health Sciences University - College of Osteopathic Medicine, Clovis, USA.
Karen BontekoeResearch, California Health Sciences University - College of Osteopathic Medicine, Clovis, USA.
Edward MerinoBiomedical Education, California Health Sciences University - College of Osteopathic Medicine, Clovis, USA.
Joshua KarronResearch, California Health Sciences University - College of Osteopathic Medicine, Clovis, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graft-site morbidity is a critical yet often overlooked aspect of anterior cruciate ligament reconstruction (ACLR). While autografts such as bone-patellar tendon-bone (BPTB) and quadriceps tendon (QT) have been shown to provide effective mechanical stability, the functional and quality-of-life outcomes associated with graft harvesting location warrant greater attention. This scoping review evaluates the existing methodologies for assessing graft-site morbidity, focusing on anterior knee pain, paresthesia, and muscle deficits. Articles were screened from January 1, 2000, to June 12, 2024, returning 609 unique references to graft-site morbidity. A systematic search identified 43 studies meeting inclusion criteria, revealing significant variability in assessment methods and reporting standards. This review underscores the need for a uniformly administered series of techniques to measure graft-site morbidity, enabling meaningful comparisons and improving patient-centric surgical decision-making. Future investigations should prioritize standardizing assessment tools to assess graft selection and optimize holistic patient outcomes.

Indexed as

anterior cruciate ligament (acl)anterior cruciate ligament (acl) reconstructionbone-patellar tendon-bone graftsdonor site morbidityquadriceps tendon graftsystematic scoping review

Identifiers

PMID41853453
PMCPMC12991907

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Registered trials

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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.