Evidence map›Paper›PMID 39087051›Full record

ArticleIndian journal of orthopaedics2024

Exploring the Efficacy of Biologics in Knee Osteoarthritis: Ultrasound Evaluation of Cartilage Regeneration Effects.

Aditya Ganesh Pundkar, Sandeep Shrivastava, Rohan Chandanwale, Ankit Jaiswal, Hardik Patel

Abstract read
In one paragraph

Article in Indian journal of orthopaedics, 2024. 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
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. 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

5 authors.

Aditya Ganesh PundkarDepartment of Orthopaedics, J.N. Medical College, Datta Meghe Institute of Higher Education, Wardha, Maharashtra India.ORCID 0000-0003-1720-5283
Sandeep ShrivastavaDepartment of Orthopaedics, J.N. Medical College, Datta Meghe Institute of Higher Education, Wardha, Maharashtra India.ORCID 0000-0001-6866-3423
Rohan ChandanwaleDepartment of Orthopaedics, J.N. Medical College, Datta Meghe Institute of Higher Education, Wardha, Maharashtra India.ORCID 0000-0001-8862-1896
Ankit JaiswalDepartment of Orthopaedics, J.N. Medical College, Datta Meghe Institute of Higher Education, Wardha, Maharashtra India.ORCID 0000-0001-7518-2310
Hardik PatelDepartment of Orthopaedics, J.N. Medical College, Datta Meghe Institute of Higher Education, Wardha, Maharashtra India.ORCID 0009-0002-3298-5476

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Biologics like growth factors, stem cells, and platelet-rich plasma show potential in stimulating cartilage regrowth and reducing inflammation. By synthesizing preclinical and clinical studies, this study offers insights into how these biologics work and their effectiveness in treating knee osteoarthritis. Methods and Materials: Twenty-four participants with knee osteoarthritis (Kellgren - Lawrence grade II or III) were enrolled after obtaining consent. They received three doses of 2 ml intraarticular platelet-rich plasma at 1 month intervals. The clinical assessment involved the oxford knee score (OKS) and visual analogue scale (VAS) for pain on Days 0, 90, and 180. Ultrasound measured femoral and trochlear cartilage thickness pre- (Day 0) and post-PRP (Day 90-180). Results: Before treatment, the average pain score was 7.2 ( Conclusion: Our study highlights the probability of PRP in treating knee OA, highlighting their ability to alleviate symptoms, enhance joint function, and promote articular cartilage regeneration.

Indexed as

Cartilage regenerationKneeOsteoarthritisPlatelet-rich plasma

Identifiers

PMID39087051
PMCPMC11286903

What OpenQuestion holds

Textmetadata
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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.