Evidence map›Paper›PMID 41290878›Full record

ArticleScientific reports2025

Design improvements and clinical evaluation of an adjustable clubfoot splint.

Mahavir K Beldar, Bharatkumar B Ahuja, Nagesh K Chougule, Kashinath Sahoo, Dadaso D Mohite

Abstract read
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

5 authors.

Mahavir K BeldarDepartment of Mechanical Engineering, COEP Technological University, Pune, 411005, Maharashtra, India.
Bharatkumar B AhujaDepartment of Manufacturing Engineering & Industrial Management, College of Engineering, Pune, 411005, Maharashtra, India. ahujabharatkumar@gmail.com.
Nagesh K ChouguleDepartment of Mechanical Engineering, COEP Technological University, Pune, 411005, Maharashtra, India.
Kashinath SahooDepartment of Prosthetics and Orthotics, Krishna Vishwa Vidyapeeth Deemed to be University, Karad, 415539, Maharashtra, India.
Dadaso D MohiteBharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, 411043, Maharashtra, India. dadasomohite@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clubfoot, a congenital deformity affecting 1 to 10 per 1000 live births in India, remains challenging to manage due to high relapse rates following Ponseti method treatment. Conventional foot abduction braces, though essential, often lead to poor compliance because of discomfort and restricted mobility. To address this, a lightweight adjustable clubfoot splint (ACS) is developed for infants up to six months, using a design-for-additive-manufacturing (DFAM) approach to reduce weight, enhance adjustability, and lower cost. The splint allows controlled foot positioning while permitting natural movement, aiming to improve comfort and adherence. Clinical evaluation in 33 infants, supported by computational modeling and simulations, demonstrated a 94% compliance rate and reduced relapse compared with standard braces. While adjustable splints are already available, many remain rigid, costly, and less accessible in resource-limited settings. The present work contributes a DFAM-based, low-cost, clinically validated splint, offering a practical alternative to improve treatment outcomes and long-term management of clubfoot.

Indexed as

ClubfootSplintsEquipment DesignFemaleHumansInfantInfant, NewbornMaleTreatment OutcomeAdditive manufacturingAdjustable clubfoot splintBiomechanical optimizationClubfoot correctionPediatric orthoticsPonseti method

Identifiers

PMID41290878
PMCPMC12647672

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Registered trials

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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.