Trends and Outcomes in Technology-Assisted Total Knee Arthroplasty in the United States From 2020 to 2024.

Michael S Kim, Madison Brunette, Emily Pham, Kylen Soriano, Ryan DiGiovanni, Peter Hsiue

Abstract read

In one paragraph

Article in Arthroplasty today, 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

6 authors.

Michael S KimDepartment of Orthopaedic Surgery, University of California, Irvine, School of Medicine, Orange, CA.

Madison BrunetteDepartment of Orthopaedic Surgery, University of California, Irvine, School of Medicine, Orange, CA.

Emily PhamDepartment of Orthopaedic Surgery, University of California, Irvine, School of Medicine, Orange, CA.

Kylen SorianoDepartment of Orthopaedic Surgery, University of California, Irvine, School of Medicine, Orange, CA.

Ryan DiGiovanniDepartment of Orthopaedic Surgery, University of California, Irvine, School of Medicine, Orange, CA.

Peter HsiueDepartment of Orthopaedic Surgery, University of California, Irvine, School of Medicine, Orange, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Technology-assisted total knee arthroplasty (TA-TKA), including computer navigation and robotic assistance, has been developed to improve implant alignment and soft tissue balance. While utilization has increased, evidence regarding clinical benefit remains mixed. This study evaluated national and regional utilization trends of TA-TKA and compared postoperative complication rates with manual TKA (M-TKA). Methods: Patients undergoing primary TKA between January 1, 2020, and December 31, 2024, were identified in the TriNetX United States Collaborative Network. Patient demographics, hospital characteristics, and postoperative complications were obtained. Cohorts were 1:1 propensity score matched for sex, body mass index, and comorbidities. Surgical complications were compared at 0-30 days, 31-90 days, and 91 days-3 years between M-TKA and TA-TKA cohorts. In addition, subanalysis was conducted comparing 3-year surgical complication rates between TA-TKA and M-TKA, stratified by region. Results: Of 198,263 TKA patients, 147,156 underwent M-TKA and 39,624 underwent TA-TKA. TA-TKA utilization increased by 375%, from 11.9% in 2020 to 27.0% in 2024 ( Conclusions: TA-TKA utilization has more than doubled in recent years, though adoption remains variable across regions and institutions. Compared with M-TKA, TA-TKA was associated with significantly lower surgical complication rates through 3 years of follow-up. These findings support continued adoption of TA-TKA and highlight the need for further research on long-term outcomes and cost-effectiveness.

Indexed as

Surgical outcomesTechnology-assisted surgeryTotal knee arthroplastyUtilization trends

Identifiers

PMID42376631

DOI10.1016/j.artd.2026.102064

PMCPMC13312537

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

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.