Evidence map›Paper›PMID 41815675›Full record

ArticleJournal of orthopaedic case reports2026

Indigenous Innovation in Orthopedic Robotics: Making Joint Replacement Affordable in India.

Kunal Aneja, Ponnanna Karineravanda Machaiah, Ashok Shyam

Abstract readEditorial
In one paragraph

Article in Journal of orthopaedic case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Kunal AnejaDepartment of Orthopaedics, Max Super Speciality Hospital, New Delhi, India.
Ponnanna Karineravanda MachaiahDepartment of Orthopedics, Sparsh Hospital, Yeshwanthpur, Bengaluru, Karnataka, India.
Ashok ShyamDepartment of Orthopaedics, Sancheti Institute for Orthopaedics and Rehabilitation, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic-assisted joint replacement has transformed contemporary arthroplasty by improving surgical precision, implant positioning, and soft-tissue balancing, with emerging evidence suggesting benefits in early functional recovery and alignment accuracy. Despite these advantages, the widespread adoption of orthopaedic robotics in India remains constrained by high capital investment, recurring maintenance costs, limited insurance reimbursement, and restricted access to structured training. Consequently, robotic arthroplasty continues to be concentrated within high-resource urban institutions, limiting its population-level impact. The evolution of indigenous robotic platforms represents a pivotal shift in addressing these barriers. Locally engineered systems offer the potential to reduce acquisition and procedural costs while maintaining procedural accuracy and workflow efficiency. Such innovations align with national initiatives promoting self-reliance in medical technology and allow contextual adaptation to Indian anatomical variations, healthcare economics, and surgical volumes. This editorial examines the current landscape of orthopaedic robotics in India, highlighting technological advances, economic constraints, policy dynamics, and the growing role of indigenous innovation. It underscores that achieving equitable access will require synergistic collaboration among clinicians, industry stakeholders, insurers, and policymakers. Ultimately, the integration of cost-effective robotic solutions may redefine joint replacement from a premium offering to a scalable standard of care across diverse healthcare settings.

Indexed as

Healthcare affordabilityIndiaIndigenous innovationJoint replacementOrthopaedic roboticsRobotic-assisted arthroplastySurgical technology

Identifiers

PMID41815675
PMCPMC12973028

What OpenQuestion holds

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LicenceCC BY-NC
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.