Evidence map›Paper›PMID 35127443›Full record

ArticleJournal of clinical orthopaedics and trauma2022

Sensor based braces: Challenges ahead.

Anil Agarwal

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical orthopaedics and trauma, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

1 author at 1 institution in 1 country.

Anil AgarwalDepartment of Paediatric Orthopaedics, Chacha Nehru Bal Chikitsalaya, Geeta Colony, Delhi, 110031, India.
Chacha Nehru Bal Chikitsalaya · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensor based brace is a new technology driven initiative to address the adherence issues associated with clubfoot treatment. It encompasses various engineering fields (sensors, batteries, data transfer) to measure precise brace wear timings. Still in preliminary usage, yet they have lead to several significant findings; foremost being that caretakers tend to over report their brace usage. Enhanced surveillance and reinforcements is thus possible with sensor devices as defaulters can be picked up early. The introduction of these devices in common practice is postulated to lessen relapse rates by upto 40%. However, many challenges obscure the path of newer braces. Robust study designs and longer follow up is lacking in majority of studies detailing sensor based clubfoot braces. None of the currently available studies demonstrate effectiveness of patient interventions/changes based on the research data. Behavioral changes in caretakers may be difficult to achieve and could require repeated reinforcements. Since braces need to be worn for prolonged periods in clubfoot treatment, sensor data generated per patient would be colossal. It's processing and interpretation would be an uphill task. The cost of advanced inventory may burden ongoing clubfoot care programmes in low income countries. There is also a possibility that the newer technology may tone up the bracing protocol into a highly sophisticated and supervised medical intervention rather than a simplified maintenance phase. Till further development and evidence, sensor based clubfoot braces may find their initial application for high risk groups susceptible to relapse.

Indexed as

BraceClubfootOrthosisSensor

Identifiers

PMID35127443
PMCPMC8808148
OpenAlexW4206935099

What OpenQuestion holds

Textmetadata
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.