Evidence map›Paper›PMID 40171007›Full record

ArticleFrontiers in surgery2025

A novel grid-assisted pie-crusting technique for achieving soft tissue balance in total knee arthroplasty.

Qisheng Cheng, Yang Wang, Yi Liu, Jie Mu, Zhenyan Wang, Xu Lin, Guanchen Yin, Shuqiang Li

Abstract read
In one paragraph

Article in Frontiers in surgery, 2025. 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

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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. Review
4 · The record

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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

8 authors.

Qisheng ChengDepartment of Orthopedic Center, The First Hospital of Jilin University, Changchun, China.
Yang WangThe First Operation Room, The First Hospital of Jilin University, Changchun, China.
Yi LiuDepartment of Orthopedic Center, The First Hospital of Jilin University, Changchun, China.
Jie MuDepartment of Orthopedic Center, The First Hospital of Jilin University, Changchun, China.
Zhenyan WangDepartment of Orthopedic Center, The First Hospital of Jilin University, Changchun, China.
Xu LinDepartment of Orthopedic Center, The First Hospital of Jilin University, Changchun, China.
Guanchen YinDepartment of Orthopedic Center, The First Hospital of Jilin University, Changchun, China.
Shuqiang LiDepartment of Orthopedic Center, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To evaluate the effectiveness of a novel grid-based pie-crusting technique for soft tissue release at different locations of the medial collateral ligament (MCL) during total knee arthroplasty (TKA). Methods: Twelve fresh-frozen cadaveric knee joints were dissected. A novel grid was designed to cover the entire surface of the MCL. The specimens were divided into two groups: Group A, where only the central portion of the ligament underwent pie-crusting release, and Group B, where selective release targeted the femoral and tibial attachment points of the MCL. Mechanical testing was conducted via a Shimadzu AG-X precision instrument. Each group underwent twelve punctures, and data were collected to calculate deformation and stiffness metrics. The mean elongation and stiffness values were analyzed, and regression analysis was performed to evaluate correlations between the number of punctures and changes in elongation and stiffness. Results: No significant differences in initial stiffness were observed between the two groups ( Conclusion: The grid-assisted pie-crusting technique, which uniformly covers the MCL, enables precise and controlled soft tissue release. This approach provides valuable insights for clinicians performing MCL release during TKA, facilitating improved soft tissue balance and potentially enhancing surgical outcomes.

Indexed as

arthroplastymedial collateral ligamentpie-crustingsoft tissue balancingTKA

Identifiers

PMID40171007
PMCPMC11958710

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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.