Evidence map›Paper›PMID 39794371›Full record

ArticleScientific reports2025

Laboratory validation of patient-specific templating for total knee arthroplasty.

Mahmoud A Hafez, Arne Jansen, Frank Portheine, Branislav Jaramaz

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Mahmoud A HafezThe Orthopaedic Department, Faculty of Medicine, October 6 University, Giza, Egypt. mhafez@msn.com.ORCID 0000-0002-6285-5720
Arne JansenHelmholtz-Institute of Biomedical Engineering and SurgiTaix, Aachen, Germany.
Frank PortheineHelmholtz-Institute of Biomedical Engineering and SurgiTaix, Aachen, Germany.
Branislav JaramazRobotics Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA.ORCID 0000-0002-8602-215X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-specific templating (PST), which is a sister procedure to patient-specific instrumentation (PSI) but hospital-based, is relatively less complex and less expensive than robotics and navigation. However, there are some concerns about the PST including the process of preoperative planning, 3D printing and material, positioning of PST intraoperatively, availability, and clinical value. The purpose of this study was to validate the technical accuracy and reliability of the PST technique in the lab and to report the outcomes of clinical application. To test the reliability of the PST technique, five observers positioned the PST templates five times over the distal femur and proximal tibial whilst a navigation system was used to measure the level of bone cutting, coronal and sagittal alignment, and rotation in both femur and tibia. The mean alignment error in all planes was 0.67° (maximum 2.5°). Concerning the bone (femoral and tibial) cutting, the mean error was 0.32 mm (maximum 1 mm). The qualitative and quantitative analysis showed an overall agreement between observers (p < 0.05). The laboratory part of this study showed that the positioning of the PST over the proximal tibia and distal femur during TKA is reliable. There were statistically insignificant intraobserver and interobserver variations.

Indexed as

Arthroplasty, Replacement, KneeSurgery, Computer-AssistedAgedFemaleFemurHumansKnee JointMaleMiddle AgedPrinting, Three-DimensionalReproducibility of ResultsTibiaCustom-madeCutting guidesPatient-specific templatingTotal knee arthroplastyTotal knee replacement

Identifiers

PMID39794371
PMCPMC11724079

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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.