Evidence map›Paper›PMID 33126373›Full record

ArticleMedicine2020

Relationship of alignment in the lower extremity with early degeneration of articular cartilage after resection of the medial meniscus: Quantitative analysis using T2 mapping.

Shuji Nakagawa, Yuji Arai, Hiroaki Inoue, Yuta Fujii, Kenta Kaihara, Yasuo Mikami

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. 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
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Shuji NakagawaDepartment of Sports and Para-Sports Medicine.
Yuji AraiDepartment of Sports and Para-Sports Medicine.
Hiroaki InoueDepartment of Orthopaedics.
Yuta FujiiDepartment of Orthopaedics.
Kenta KaiharaDepartment of Orthopaedics.
Yasuo MikamiDepartment of Rehabilitation, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan,.
Kyoto Prefectural University of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to examine the relationship between cartilage degeneration early after partial medial meniscectomy and abnormal alignment in the lower extremity.The subjects were 34 patients (37 knees) with medial meniscal tear who underwent arthroscopic partial meniscectomy. MRI was performed before and 6 months after surgery. T2 mapping images in sagittal sections of medial femoral condyle were produced and 10 regions of interest were set at intervals of 10° in the articular cartilage in the femur. Subjects with an increase in T2 of ≥6% at a flexion angle of 30° were assigned to the degeneration group. Patient background, hip-knee-ankle (HKA) angle, and total resection of meniscal segments were compared between this group and the other patients to identify factors involved in degeneration of articular cartilage.T2 values 6 months after surgery in 3 ROIs at flexion angles of 30° to 50° were significantly longer than those before surgery. The preoperative HKA angle was significantly higher in the degeneration group. T2 values in articular cartilage of the femoral condyle increased earlier after meniscectomy with abnormal alignment in the lower extremity.Meniscectomy in cases with abnormal alignment may have a risk of early onset of osteoarthritis.Level of evidence: Level IV.

Indexed as

Cartilage, ArticularFemaleHumansKnee JointMagnetic Resonance ImagingMaleMeniscectomyMiddle AgedTibial Meniscus Injuries

Identifiers

PMID33126373
PMCPMC7598867
OpenAlexW3097355730

What OpenQuestion holds

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LicenceCC BY-NC
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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.