Evidence map›Paper›PMID 37286901›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2023

Gender-specific distribution of knee morphology according to CPAK and functional phenotype classification: analysis of 8739 osteoarthritic knees prior to total knee arthroplasty using artificial intelligence.

Stephanie Huber, Jennyfer A Mitterer, Sascha M Vallant, Sebastian Simon, Florian Hanak-Hammerl, Gilbert M Schwarz, Antonio Klasan, Jochen G Hofstaetter

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In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
25.7field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Stephanie HuberMichael Ogon Laboratory for Orthopedic Research, Orthopedic Hospital Vienna Speising, Speisinger Straße 109, 1130, Vienna, Austria.
Jennyfer A MittererMichael Ogon Laboratory for Orthopedic Research, Orthopedic Hospital Vienna Speising, Speisinger Straße 109, 1130, Vienna, Austria.
Sascha M VallantMichael Ogon Laboratory for Orthopedic Research, Orthopedic Hospital Vienna Speising, Speisinger Straße 109, 1130, Vienna, Austria.
Sebastian SimonMichael Ogon Laboratory for Orthopedic Research, Orthopedic Hospital Vienna Speising, Speisinger Straße 109, 1130, Vienna, Austria.
Florian Hanak-HammerlMichael Ogon Laboratory for Orthopedic Research, Orthopedic Hospital Vienna Speising, Speisinger Straße 109, 1130, Vienna, Austria.
Gilbert M SchwarzMichael Ogon Laboratory for Orthopedic Research, Orthopedic Hospital Vienna Speising, Speisinger Straße 109, 1130, Vienna, Austria.
Antonio KlasanDepartment of Orthopedics and Trauma-Surgery, AUVA Trauma Hospital Graz, Göstinger Straße 26, 8020, Graz, Austria.
Jochen G HofstaetterMichael Ogon Laboratory for Orthopedic Research, Orthopedic Hospital Vienna Speising, Speisinger Straße 109, 1130, Vienna, Austria. researchlab@oss.at.ORCID http://orcid.org/0000-0001-7741-7187
Orthopaedic Hospital Speising · ATJohannes Kepler University of Linz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOsteoarthritis of the knee is commonly associated with malalignment of the lower limb. Recent classifications, as the Coronal Plane Alignment of the Knee (CPAK) and Functional Phenotype classification, describe the bony knee morphology in addition to the overall limb alignment. Data on distribution of these classifications is not sufficient in large populations. The aim of this study was to analyse the preoperative knee morphology with regard to the aforementioned classifications in long leg radiographs prior to total knee arthroplasty surgery using Artificial Intelligence.

methodsThe cohort comprised 8739 preoperative long leg radiographs of 7456 patients of all total knee arthroplasty surgeries between 2009 and 2021 from our institutional database. The automated measurements were performed with the validated Artificial Intelligence software LAMA (ImageBiopsy Lab, Vienna) and included standardized axes and angles [hip-knee-ankle angle (HKA), mechanical lateral distal femur angle (mLDFA), mechanical medial proximal tibia angle (mMPTA), mechanical axis deviation (MAD), anatomic mechanic axis deviation (AMA) and joint line convergence angle (JLCA)]. CPAK and functional phenotype classifications were performed and all measurements were analysed for gender, age, and body mass index (BMI) within these subgroups.

resultsVarus alignment was more common in men (m: 2008, 68.5%; f: 2953, 50.8%) while neutral (m: 578, 19.7%; f: 1357, 23.4%) and valgus (m: 345, 11.8%; f: 1498, 25.8%) alignment was more common in women. The most common morphotypes according to CPAK classification were CPAK Type I (2454; 28.1%), Type II (2383; 27.3%), and Type III (1830; 20.9%). An apex proximal joint line (CPAK Type VII, VIII and IX) was only found in 1.3% of all cases (n = 121). In men, CPAK Type I (1136; 38.8%) and CPAK Type II (799; 27.3%) were the most common types and women were spread more equally between CPAK Type I (1318; 22.7%), Type II (1584; 27.3%) and Type III (1494; 25.7%) (p < 0.001). The most common combination of femur and tibia types was NEU

conclusionDistribution in knee morphology with gender-specific differences highlights the wide range in osteoarthritic knees, characterized by CPAK and phenotype classification and may influence future surgical planning. LEVEL OF EVIDENCE: Level III.

Indexed as

Arthroplasty, Replacement, KneeOsteoarthritis, KneeArtificial IntelligenceFemaleFemurHumansKnee JointLower ExtremityPhenotypeRetrospective StudiesTibiaAlignmentGenderKnee morphologyOsteoarthritisTotal knee arthroplasty

Identifiers

PMID37286901
OpenAlexW4379768515

What OpenQuestion holds

Textmetadata
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.