Evidence map›Paper›PMID 36755362›Full record

ArticleActa radiologica (Stockholm, Sweden : 1987)2023

Knee anatomic geometry accurately predicts risk of anterior cruciate ligament rupture.

Jahfer Hasoon, Oday Al-Dadah

Open access · hybridAbstract read
In one paragraph

Article in Acta radiologica (Stockholm, Sweden : 1987), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. 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

2 authors at 1 institution in 1 country.

Jahfer HasoonDepartment of Trauma and Orthopaedic Surgery, South Tyneside District Hospital, South Tyneside, UK.
Oday Al-DadahDepartment of Trauma and Orthopaedic Surgery, South Tyneside District Hospital, South Tyneside, UK.ORCID 0000-0002-1940-836X
South Tyneside District Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCertain anatomical characteristics of the knee have potential relationships with the risk of anterior cruciate ligament (ACL) rupture. There remains a need for stronger evidence using arthroscopy as well as radiological imaging to accurately clarify these relationships. PURPOSE: To compare the anatomic geometry of the knee joint between patients with and without ACL ruptures. MATERIAL AND

methodsCase-controlled study of patients with arthroscopically confirmed ACL ruptures (ACL group) compared to patients with arthroscopically confirmed normal ACLs (control group). Magnetic resonance imaging scans were assessed for a total of 14 quantitative radiological variables including medial and lateral tibial slope angles (bone and cartilage measurements), meniscal height, femoral width, intercondylar notch width and tibial depth.

resultsA total of 105 patients were included in the study, 55 in the ACL group and 50 in the control group. There was a significant difference (

conclusionGreater postero-inferior directed slope measurements of bone and cartilage in both the lateral and medial compartments with a narrower intercondylar notch width increase the risk of ACL rupture. Mathematical modelling can accurately predict the risk of ACL rupture.

Indexed as

Anterior Cruciate LigamentAnterior Cruciate Ligament InjuriesHumansKnee JointMagnetic Resonance ImagingRisk FactorsRuptureTibiaanatomyAnterior cruciate ligamentgeometrymorphologypredictionrisk factors

Identifiers

PMID36755362
PMCPMC10160399
OpenAlexW4319656870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.