Evidence map›Paper›PMID 39449911›Full record

ArticleCureus2024

Efficacy of Intra-articular Super-dose Platelet-Rich Plasma Injection in Improving Pain in a Middle-Aged Sedentary Female With Meniscal Tear: A Case Report.

Sneha Thirugnana Sambandam, Dobson Dominic, Praveen Ravi, Ashirwad Jadhav

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. 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. 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

4 authors.

Sneha Thirugnana SambandamSports Medicine, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, IND.
Dobson DominicSports Medicine, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, IND.
Praveen RaviSports Medicine, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, IND.
Ashirwad JadhavSports Medicine, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This case study explores the use of super-dose platelet-rich plasma (PRP) in managing a meniscal tear in a 43-year-old woman with left knee pain. The patient was diagnosed with a vertical longitudinal tear of the body and posterior horn medial meniscus, confirmed through magnetic resonance imaging. Super-dose PRP, characterized by a higher platelet volume (8 ml), was administered intra-articular. Post-injection, the patient reported initial discomfort for a few days, but significant improvements in pain and range of motion (ROM) were observed within the first week. Over 12 weeks, her visual analog scale pain score decreased from 8/10 during activity to 2/10, and her ROM returned to full functionality. The case supports the hypothesis that super-dose PRP may enhance the healing process in meniscal injuries by promoting tissue healing and regeneration through the release of growth factors, angiogenesis, collagen synthesis, and inflammation modulation. This case highlights PRP's potential as a non-surgical treatment for meniscal tears. Further large-scale studies and randomized controlled trials are needed to validate these results, optimize dosing strategies, and determine which patient populations will benefit most from this innovative treatment approach.

Indexed as

growth factorshigh volume prpmeniscus injurymeniscus rehabilitationprpregenerative medicineregenerative medicine therapies

Identifiers

PMID39449911
PMCPMC11499726

What OpenQuestion holds

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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.