Evidence map›Paper›PMID 40441744›Full record

ReviewOrthopaedic surgery2025

Digitized Precision Corrective Osteotomy for Treating Knee Joint Deformities: Current Evidence and Future Perspectives.

Xiaoyu Wang, Qinglin Kang

Abstract readReview
In one paragraph

Review in Orthopaedic 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

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. Review
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

2 authors.

Xiaoyu WangDepartment of Orthopaedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0002-7276-9738
Qinglin KangDepartment of Orthopaedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0009-0001-9142-6992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate alignment correction is closely correlated with functional results after corrective osteotomy for knee joint deformities. Traditionally, osteotomy procedures were performed on the basis of the surgeon's experience and direct visual estimation. However, discrepancies between the planned and achieved corrections usually exist due to pre- and intraoperative errors. Digitized orthopedic surgery is an exciting field that utilizes computer science and medical engineering to facilitate personalized surgical treatment. Its potential in corrective osteotomy for treating knee joint deformity deserves a comprehensive review. This review searched the relevant literature in the Web of Science, Scopus, and PubMed, and focused on three aspects: three-dimensional (3D) printed patient-specific instrumentation, computer navigation system, and surgical robots. The characteristics and research status of digitized corrective osteotomy for treating knee joint deformities are outlined. The first-hand experiences from relevant papers and potential future advances in clinical, educational, and research areas were summarized. Current concerns about the already used approaches were clarified. Technological innovations in corrective osteotomy have steadily evolved with the aim of ensuring surgical precision and alignment accuracy, simplifying operational procedures, and improving patient outcomes. Digitized orthopedic surgery has favorable potential in terms of surgical practice, skill training, and delivery of healthcare information. Surgical navigation systems with synthetic functions of planning, training, and robotic assistance should be developed.

Indexed as

Knee JointOsteotomySurgery, Computer-AssistedHumansPrinting, Three-DimensionalRobotic Surgical ProceduresSurgical Navigation Systemscomputer navigationjoint deformitykneeosteotomypatient‐specific instrumentationrobot

Identifiers

PMID40441744
PMCPMC12318696

What OpenQuestion holds

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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.