Evidence map›Paper›PMID 42305898›Full record

ReviewJournal of experimental orthopaedics2026

Increasing research on personalized alignment concepts, robotic-assisted surgery and artificial intelligence in total knee arthroplasty: A bibliometric analysis of the last 10 years in

Yuma Onoi, Randa Elsheikh, Tomoyuki Matsumoto, Ryosuke Kuroda, Rolf Huegli, Andrej Maria Nowakowski, Michael Tobias Hirschmann

Abstract readReview
In one paragraph

Review in Journal of experimental orthopaedics, 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

7 authors.

Yuma OnoiUniversity Department of Orthopedic Surgery and Traumatology Kantonsspital Baselland Bruderholz Switzerland.ORCID https://orcid.org/0000-0002-0624-508X
Randa ElsheikhUniversity Department of Orthopedic Surgery and Traumatology Kantonsspital Baselland Bruderholz Switzerland.ORCID https://orcid.org/0000-0002-5811-9907
Tomoyuki MatsumotoDepartment of Orthopedic Surgery Kobe University Graduate School of Medicine Kobe Hyogo Japan.ORCID https://orcid.org/0000-0003-4587-0029
Ryosuke KurodaDepartment of Orthopedic Surgery Kobe University Graduate School of Medicine Kobe Hyogo Japan.ORCID https://orcid.org/0000-0001-5097-7264
Rolf HuegliInstitute of Radiology and Nuclear Medicine, Kantonsspital Baselland Bruderholz Switzerland.ORCID https://orcid.org/0000-0001-8852-4826
Andrej Maria NowakowskiUniversity Department of Orthopedic Surgery and Traumatology Kantonsspital Baselland Bruderholz Switzerland.ORCID https://orcid.org/0000-0003-4336-8780
Michael Tobias HirschmannUniversity Department of Orthopedic Surgery and Traumatology Kantonsspital Baselland Bruderholz Switzerland.ORCID https://orcid.org/0000-0002-4014-424X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate contemporary trends in total knee arthroplasty (TKA) research published in Methods: Results: Alignment concepts shifted after 2022; KA increased to 40% (16/40 articles) and FA to 30% (12/40 articles) in 2024, whereas MA declined to 30% (12/40 articles). Manual TKA dominated overall (455/699 articles, 65%), whereas navigation (118 articles, 17%) and PSI (63 articles, 9%) contributed steadily at lower levels. Robotic-assisted surgery emerged after 2021, overall reaching 63/699 articles (9%) and peaking at 26/104 articles (25%) in 2023. Artificial intelligence (AI)-based studies appeared after 2020, reaching 6/112 articles (5%) in 2022, showing steady growth. International collaboration rates were higher in Europe and North America (up to ~58% multiple-country publications [MCP]) than in Asia (<10% MCP). PROMs usage remained broad, with a notable increase in Forgotten Joint Score since 2020. Conclusions: The Level of Evidence: Level IV.

Indexed as

artificial intelligencebibliometric analysisfunctional alignmentkinematic alignmentrobotic‐assisted surgerytotal knee arthroplasty

Identifiers

PMID42305898
PMCPMC13266570

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.