Evidence map›Paper›PMID 39915360›Full record

Observational studyJournal of robotic surgery2025

Trends in adoption of robotics in arthroplasty: an analysis of the Indian landscape.

Praharsha Mulpur, Tarun Jayakumar, Rajeev Reddy Kikkuri, Adarsh Annapareddy, Kushal Hippalgaonkar, A V Gurava Reddy

Erratum issuedAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Praharsha MulpurSunshine Bone and Joint Institute, KIMS-Sunshine Hospitals, Hyderabad, India.ORCID http://orcid.org/0000-0002-1659-2587
Tarun JayakumarSunshine Bone and Joint Institute, KIMS-Sunshine Hospitals, Hyderabad, India. tarunjaykumar@gmail.com.ORCID http://orcid.org/0000-0002-4305-1022
Rajeev Reddy KikkuriSunshine Bone and Joint Institute, KIMS-Sunshine Hospitals, Hyderabad, India.ORCID http://orcid.org/0000-0002-8800-5097
Adarsh AnnapareddySunshine Bone and Joint Institute, KIMS-Sunshine Hospitals, Hyderabad, India.
Kushal HippalgaonkarSunshine Bone and Joint Institute, KIMS-Sunshine Hospitals, Hyderabad, India.ORCID http://orcid.org/0000-0002-1306-2791
A V Gurava ReddySunshine Bone and Joint Institute, KIMS-Sunshine Hospitals, Hyderabad, India.ORCID http://orcid.org/0000-0003-2207-8004

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic-assisted technology in total joint arthroplasty (TJA) offers improved precision in component placement and alignment, addressing challenges, such as ligament imbalance, malalignment, and patient dissatisfaction. In India, where diverse healthcare settings exist, trends in robotic adoption remain underexplored. This study examines the adoption patterns and geographic distribution of robotic systems for TJA in India, highlighting market dynamics over the past 5 years. A cross-sectional observational study was conducted using data from manufacturers of robotic arthroplasty systems. Annual installations, tier-wise city classifications, and geographic distributions were analyzed. Statistical methods included descriptive analysis for installation trends, time-series visualization for adoption trajectories, and linear regression to forecast 2025 installations. As of September 2024, 290 robotic systems were installed across India. Among these, the CUVIS system (Meril) accounted for 89 installations (30.7%), followed by CORI (Smith and Nephew) with 66 installations (22.8%), and VELYS (DePuy) with 52 installations (17.9%). The MAKO system (Stryker) contributed 38 installations (13.1%), while MISSO (Meril) and ROSA (Zimmer) had 25 (8.6%) and 20 (6.9%) installations, respectively. Tier I hospitals dominated with 50% of installations, while Tier III and IV facilities accounted for only 10%. Linear regression predicts steady growth, with over 80 new robotic installations in 2025. Robotic technology adoption in Indian TJA has surged, with a strong preference for systems offering precision and versatility. However, barriers such as high costs and limited training impede penetration in lower tier facilities. Addressing these challenges could enhance equitable access and support the integration of robotics into diverse healthcare settings.

Indexed as

Arthroplasty, ReplacementRobotic Surgical ProceduresCross-Sectional StudiesHumansIndiaHealthcare tier classificationIndian healthcare marketRobotic-assisted arthroplastyTechnology adoption trendsTotal joint arthroplasty

Identifiers

What OpenQuestion holds

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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.