Evidence map›Paper›PMID 35061132›Full record

ReviewAnnals of biomedical engineering2022

Engineering Aspects of Incidence, Prevalence, and Management of Osteoarthritis: A Review.

Dhirendra Kumar Verma, Poonam Kumari, Subramani Kanagaraj

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Detection and Classification of Knee Osteoarthritis.Diagnostics (Basel, Switzerland) · 2022
    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 at 1 institution in 1 country.

Dhirendra Kumar VermaDepartment of Mechanical Engineering, Indian Institute of Technology Guwahati, North Guwahati, Guwahati, Assam, 781039, India. verma176103116@iitg.ac.in.ORCID http://orcid.org/0000-0002-3954-3198
Poonam KumariDepartment of Mechanical Engineering, Indian Institute of Technology Guwahati, North Guwahati, Guwahati, Assam, 781039, India.
Subramani KanagarajDepartment of Mechanical Engineering, Indian Institute of Technology Guwahati, North Guwahati, Guwahati, Assam, 781039, India.
Indian Institute of Technology Guwahati · IN

Funding

North East Centre for Biological Sciences and Healthcare Engineering (NECBH) BT/COE/34/SP28408/2018
6 · The paper itself

Abstract

The knee is the biggest and complicated lower extremity joint that supports mobility and the entire weight of the human body and lies between the hip joint and ankle joint. Osteoarthritis (OA) is the most common joint disease in the knee among various musculoskeletal disorders globally, with an age-associated increase in incidence and prevalence. Health monitoring of the knee joints in daily life, and early OA diagnosis is challenging and draws attention to the various methods of diagnosis for this irreversible disease. In this review, electronic databases have been searched from inception for a detailed study about knee OA and its management. It focuses on various sensor technologies and different semi-invasive and non-invasive diagnosis methods with their limitations. In the last decade, various researchers have engrossed their attention to the potential of piezoelectric-based acoustic sensors to fabricate a wearable device for OA and its management. A sensor-based wearable device using vibroarthrography as a tool can be an appropriate solution for early-stage disease detection. We firmly believe that wearable technology for the detection of OA in daily life activities will play a significant role in managing this disease and help to reduce the chances of total knee replacements.

Indexed as

Biomedical EngineeringBiomedical ResearchArthrographyBiomechanical PhenomenaHumansOsteoarthritis, HipOsteoarthritis, KneeSocieties, ScientificAcoustic emission (AE)Articular cartilageExtracellular matrix (ECM)Kellgren and Lawrence (KL)Synovial membraneVibroarthrography (VAG)

Identifiers

PMID35061132
OpenAlexW4205713931

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.