Evidence map›Paper›PMID 37303652›Full record

ArticleAmerican journal of translational research2023

Platelet rich plasma combined with arthroscopic microfracture versus arthroscopic microfracture alone for the treatment of knee cartilage injury.

Yanglin Gu, Guancheng Wang, Peng Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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 2 institutions in 1 country.

Yanglin GuDepartment of Orthopedics, Jiangnan University Medical Center Wuxi 214000, Jiangsu, China.
Guancheng WangDepartment of Orthopedics, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University Wuxi 214000, Jiangsu, China.
Peng ChenDepartment of Orthopedics, Jiangnan University Medical Center Wuxi 214000, Jiangsu, China.
Jiangnan University · CNWuxi No.2 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the clinical efficacy of platelet-rich plasma (PRP) injection combined with arthroscopic microfracture technique in treating knee cartilage injury.

methodsThe clinical data of 120 patients with knee cartilage injuries treated in Jiangnan University Medical Center from October 2019 to December 2021 were analyzed retrospectively. Among them, 55 cases underwent the arthroscopic microfracture technique alone (control group), and the other 65 cases underwent PRP combined with the arthroscopic microfracture technique (observation group). The visual analogue scale (VAS) score, Lysholm knee joint score, MRI image indexes, the incidence of adverse events, and patient satisfaction during treatment were compared between groups before and after surgery.

resultsBefore surgery and at 3, 6, and 12 months after surgery, VAS scores in both groups showed a decreasing trend with time (F = 40.780,

conclusionPRP combined with the arthroscopic microfracture technique has high safety in treating knee cartilage injuries. Compared with the arthroscopic microfracture alone, PRP combined with arthroscopic microfracture technique can effectively relieve pain, promote the repair of defective cartilage, improve knee joint function, and increase patient satisfaction. It is worthy of clinical promotion.

Indexed as

arthroscopecartilage injuryKnee jointmicrofracture techniquePRP

Identifiers

PMID37303652
PMCPMC10250990
OpenAlexW4380291805

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.