Evidence map›Paper›PMID 30167834›Full record

ArticleInternational orthopaedics2019

What parameters affect knee function in patients with untreated cartilage defects: baseline data from the German Cartilage Registry.

Alfred Hochrein, Wolfgang Zinser, Gunter Spahn, Peter Angele, Ingo Löer, Dirk Albrecht, Philipp Niemeyer

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in International orthopaedics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

7 authors.

Alfred HochreinOCM Klinik, Steinerstr 6, 81369, Munich, Germany. alfred.hochrein@gmail.com.
Wolfgang ZinserSt. Vinzenz-Hospital, Dinslaken, Germany.
Gunter SpahnPraxisklinik für Unfallchirurgie und Orthopaedie, Eisenach, Germany.
Peter AngeleSporthoaedicum, Regensburg, Germany.
Ingo LöerOrthopaedische Gemeinschaftspraxis, Essen, Germany.
Dirk AlbrechtKlinik im Kronprinzenbau, Reutlingen, Germany.
Philipp NiemeyerOCM Klinik, Steinerstr 6, 81369, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the factors influencing the baseline Knee Injury and Osteoarthritis Outcome Score (KOOS) in patients with knee cartilage defects and planned cartilage repair surgery and to provide baseline KOOS data from a large patient population. MATERIAL AND

methodsBetween October 2013 and April 2017, a total of 2815 patients assigned for cartilage repair surgery were included into the German Cartilage Registry (KnorpelRegister DGOU) and their data were analyzed for the present study. Multivariate regression model and ANOVA were used to detect patient- and defect-specific factors with an influence on baseline KOOS. In addition, KOOS baseline data was calculated and compared according to these parameters.

resultsSex, age, body mass index (BMI), and smoking status were revealed as patient-specific factors, and defect location and the number of previous knee and cartilage operations were revealed as defect-specific factors with a significant influence on baseline KOOS. Most subscores were affected in accordance with the total KOOS. Interestingly, defect ICRS grade, defect size, and symptom duration had no significant influence. The mean baseline KOOS was 56.7 (± 17.9). Men had significantly higher mean overall KOOS (60 ± 17.3 vs. 51.8 ± 17.6, p < 0.001) than women, and patients with a BMI over 30 and smokers scored significantly lower (58.07 ± 17.67 vs. 50.32 ± 17.29, p < 0.001; 57.64 ± 17.86 vs. 53.59 ± 18.06, p < 0.001). Patients with two or more previous knee operations as well as patients with more than one previous cartilage procedure also showed significantly lower overall KOOS (57.19 ± 17.89 vs. 54.56 ± 17.58, p < 0.001; 57.68 ± 18.01 vs. 52.72 ± 17.58, p < 0.001).

conclusionSeveral factors influencing baseline KOOS data in patients with knee cartilage defects assigned for cartilage repair surgery could be detected. Their individual influence in the multivariate linear regression model was not very strong. Baseline data according to these criteria is presented in this paper.

Indexed as

AdultCartilage, ArticularCartilage DiseasesFemaleGermanyHealth Status IndicatorsHumansKnee JointMaleMiddle AgedRegistriesBaseline dataCartilageGerman Cartilage RegistryKOOSPatient-reported outcome

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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.