Evidence map›Paper›PMID 36106279›Full record

ArticleCureus2022

Autologous Conditioned Plasma and Hyaluronic Acid Injection for Isolated Grade 4 Osteochondral Lesions of the Knee in Young Active Adults.

Aysha Rajeev, Mohammed Ali, Kailash Devalia

Abstract read
In one paragraph

Article in Cureus, 2022. 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

3 authors.

Aysha RajeevTrauma and Orthopedics, Gateshead Health NHS Foundation Trust, Gateshead, GBR.
Mohammed AliTrauma and Orthopedics, University Hospital of North Durham, Durham, GBR.
Kailash DevaliaTrauma and Orthopedics, Gateshead Health NHS Foundation Trust, Gateshead, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare the short-term benefits and results of autologous conditioned plasma (ACP) and hyaluronic acid (HA) injection in osteochondral defects in the knee of young adults. The effectiveness of intra-articular platelet-rich plasma (PRP) injections has been evaluated in osteoarthritis. However, few studies investigated its efficacy in knee osteochondral defects.

methodsThis is a retrospective analysis of prospectively collected data. A matched cohort of 30 patients in each group was studied. Group 1 received three HA injections at weekly intervals, and group 2 received three ACP injections at two weekly intervals. We measured Kujala, Lysholm, Oxford, and visual analog scale (VAS) scores at baseline, six, 12, and 36 months to assess function and pain.

resultsMost lesions were in the medial femoral condyles in both groups, followed by lateral femoral condyle and patellofemoral regions. In group 1 (HA), the mean pre-injection scores for Kujala, Lysholm, and Oxford improved significantly at six and 12 months. The scores decreased at 36 months, however, they remained significantly better than the baselines (P < 0.05). The pre-injection VAS scores continued to improve significantly from 6.06±0.785 to 3.40±0.912 at 36 weeks. In group 2 (ACP), VAS and the outcome scores showed a consistent and statistically significant improvement from pre-injection to 36 months.  Conclusions: Our study confirms the short-term clinical benefits of using ACP for symptomatic osteochondral defects of the knee. Further high-quality comparative studies with longer follow-ups are needed to ascertain whether ACP is beneficial in the long term.

Indexed as

autologous conditioned plasmakneeosteochondral defectsplatelet-rich plasmayoung adults

Identifiers

PMID36106279
PMCPMC9449309

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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.