Evidence map›Paper›PMID 40907563›Full record

ArticleThe journal of knee surgery2026

General Prediction Theory for Anterior Cruciate Ligament Graft Sizing.

Zi Qiang Glen Liau, Alexander Shao-Rong Pang, Matthew Song Peng Ng

Abstract read
In one paragraph

Article in The journal of knee surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Zi Qiang Glen LiauDepartment of Orthopaedic Surgery, National University Hospital, Singapore, Singapore.
Alexander Shao-Rong PangYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Matthew Song Peng NgDepartment of Orthopaedic Surgery, National University Hospital, Singapore, Singapore.ORCID 0000-0002-7282-9243

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting hamstring graft size before anterior cruciate ligament (ACL) reconstruction is crucial to avoid subsequent graft failure. Our study aims to (1) develop a generalized algorithm to predict final ACL graft diameter for single- and double-tendon hamstring grafts consisting of any number of folds, (2) evaluate our algorithm with a regression model adjusting for patient and surgical factors, and (3) assess algorithm's specificity, sensitivity, and discriminative ability, defining adequate graft size as ≥9 mm.We conducted a retrospective review of 105 patients who underwent primary ACL reconstruction with either single- (semitendinosus or gracilis only) or double-tendon (both semitendinosus and gracilis) hamstring grafts from January 2023 to June 2024 at a tertiary institution. Magnetic resonance imaging (MRI) scans were independently measured by two junior members. The average of the measurements was taken. Predicted graft diameter is √(x·AB + y·CD), where A and B are the semitendinosus cross-sectional length and breadth, C and D are the gracilis cross-sectional length and breadth, and x and y are the number of semitendinosus and gracilis folds, respectively.Pearson correlation shows moderate correlation between predicted and actual graft diameters (

Indexed as

Anterior Cruciate Ligament InjuriesAnterior Cruciate Ligament ReconstructionHamstring TendonsAdolescentAdultAlgorithmsFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesYoung Adult

Identifiers

PMID40907563
PMCPMC12945465

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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.