Evidence map›Paper›PMID 33521890›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2021

Meniscal tears are more common than previously identified, however, less than a quarter of people with a tear undergo arthroscopy.

Imran Ahmed, Anand Radhakrishnan, Chetan Khatri, Sophie Staniszewska, Charles Hutchinson, Nicholas Parsons, Andrew Price, Andrew Metcalfe

Open access · hybridAbstract read
In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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  15. A Machine Learning Approach for Knee Injury Detection from Magnetic Resonance Imaging.International journal of environmental research and public health · 2023
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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

8 authors at 1 institution in 1 country.

Imran AhmedWarwick Clinical Trials Unit, Clinical Sciences Research Laboratories, University Hospital Coventry and Warwickshire, Clifford Bridge Road, Coventry, CV22DX, UK. Imran.ahmed4@nhs.net.ORCID http://orcid.org/0000-0003-2774-9954
Anand RadhakrishnanWarwick Clinical Trials Unit, Clinical Sciences Research Laboratories, University Hospital Coventry and Warwickshire, Clifford Bridge Road, Coventry, CV22DX, UK.
Chetan KhatriWarwick Clinical Trials Unit, Clinical Sciences Research Laboratories, University Hospital Coventry and Warwickshire, Clifford Bridge Road, Coventry, CV22DX, UK.
Sophie StaniszewskaWarwick Clinical Trials Unit, Clinical Sciences Research Laboratories, University Hospital Coventry and Warwickshire, Clifford Bridge Road, Coventry, CV22DX, UK.
Charles HutchinsonWarwick Clinical Trials Unit, Clinical Sciences Research Laboratories, University Hospital Coventry and Warwickshire, Clifford Bridge Road, Coventry, CV22DX, UK.
Nicholas ParsonsWarwick Clinical Trials Unit, Clinical Sciences Research Laboratories, University Hospital Coventry and Warwickshire, Clifford Bridge Road, Coventry, CV22DX, UK.
Andrew PriceWarwick Clinical Trials Unit, Clinical Sciences Research Laboratories, University Hospital Coventry and Warwickshire, Clifford Bridge Road, Coventry, CV22DX, UK.
Andrew MetcalfeWarwick Clinical Trials Unit, Clinical Sciences Research Laboratories, University Hospital Coventry and Warwickshire, Clifford Bridge Road, Coventry, CV22DX, UK.
University Hospital Coventry · GB

Funding

Department of Health DRF-2018-11-ST2-030National Institute for Health Research (GB) DRF-2018-11-ST2-030
6 · The paper itself

Abstract

purposeThe management of meniscal tears is a widely researched and evolving field. Previous studies reporting the incidence of meniscal tears are outdated and not representative of current practice. The aim of this study was to report the current incidence of MRI confirmed meniscal tears in patients with a symptomatic knee and the current intervention rate in a large NHS trust.

methodsRadiology reports from 13,358 consecutive magnetic resonance imaging scans between 2015 and 2017, performed at a large UK hospital serving a population of 470,000, were assessed to identify patients with meniscal tears. The hospital database was interrogated to explore the subsequent treatment undertaken by the patient. A linear regression model was used to identify if any factors predicted subsequent arthroscopy.

results1737 patients with isolated meniscal tears were identified in patients undergoing an MRI for knee pain, suggesting a rate of 222 MRI confirmed tears per 100,000 of the population aged 18 to 55 years old. 47% attended outpatient appointments and 22% underwent arthroscopy. Root tears [odds ratio (95% CI) 2.24 (1.0, 4.49); p = 0.049] and bucket handle tears were significantly associated with subsequent surgery, with no difference between the other types of tears. The presence of chondral changes did not significantly affect the rate of surgery [0.81 (0.60, 1.08); n.s].

conclusionMeniscal tears were found to be more common than previously described. However, less than half present to secondary care and only 22% undergo arthroscopy. These findings should inform future study design and recruitment strategies. In agreement with previous literature, bucket handle tears and root tears were significant predictors of subsequent surgery. LEVEL OF EVIDENCE: III.

Indexed as

Knee InjuriesTibial Meniscus InjuriesAdolescentAdultArthroscopyHumansMagnetic Resonance ImagingMenisci, TibialMiddle AgedRetrospective StudiesYoung AdultArthroscopyKnee painMeniscal tearsMRI

Identifiers

PMID33521890
PMCPMC8514344
OpenAlexW3128821995

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LicenceCC BY
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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.