Evidence map›Paper›PMID 30532524›Full record

ArticleClinical interventions in aging2018

Prevalence and treatment of hip and knee osteoarthritis in people aged 60 years or older in Germany: an analysis based on health insurance claims data.

Anne Postler, Andres Luque Ramos, Jens Goronzy, Klaus-Peter Günther, Toni Lange, Jochen Schmitt, Angela Zink, Falk Hoffmann

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 4 pooled it
15.4field-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

78 citing papers in PubMed, 4 syntheses or guidelines pooled it, 177 citations in OpenAlex.

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  13. Prevalence and occupational risk of hip osteoarthritis and rotator cuff lesions - claims data analysis.International journal of occupational medicine and environmental health · 2026
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18 more citing papers are in PubMed but not listed here.

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 4 institutions in 1 country.

Anne PostlerUniversity Center of Orthopaedics and Traumatology, University Medicine Carl Gustav Carus Dresden, Technische Universität Dresden, Dresden, Germany, anne.postler@uniklinikum-dresden.de.
Andres Luque RamosDepartment of Health Services Research, Carl von Ossietzky University, Oldenburg, Germany.
Jens GoronzyUniversity Center of Orthopaedics and Traumatology, University Medicine Carl Gustav Carus Dresden, Technische Universität Dresden, Dresden, Germany, anne.postler@uniklinikum-dresden.de.
Klaus-Peter GüntherUniversity Center of Orthopaedics and Traumatology, University Medicine Carl Gustav Carus Dresden, Technische Universität Dresden, Dresden, Germany, anne.postler@uniklinikum-dresden.de.
Toni LangeCenter for Evidence Based Healthcare, Medical Faculty, Technische Universität Dresden, Dresden, Germany.
Jochen SchmittCenter for Evidence Based Healthcare, Medical Faculty, Technische Universität Dresden, Dresden, Germany.
Angela ZinkEpidemiology Unit, German Rheumatism Research Centre, Berlin, Germany.
Falk HoffmannDepartment of Health Services Research, Carl von Ossietzky University, Oldenburg, Germany.
University Hospital Carl Gustav Carus · DECarl von Ossietzky Universität Oldenburg · DETechnische Universität Dresden · DEGerman Rheumatism Research Centre · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOsteoarthritis (OA) is highly prevalent throughout the world, especially in the elderly population, and is strongly associated with patients' frailty. However, little is known about the prevalence and treatment of OA in elderly patients in routine clinical care in Germany. MATERIALS AND

methodsAs a part of Linking Patient-Reported Outcomes with CLAIms Data for Health Services Research in Rheumatology (PROCLAIR), a cross-sectional study using claims data from a large Germany statutory health insurance (BARMER) was conducted. We included people aged 60 years or older and assessed the prevalence of OA of the hip or knee, defined as having outpatient diagnoses (ICD: M16 or M17) in at least two quarters of 2014. The use of conservative treatment, including analgesics and physical therapy, and total joint replacement was studied. Analyses were stratified by age, sex, comorbidities, and level of care dependency defined by social law.

resultsA total of 595,754 patients (mean age: 74.9 years; 69.8% female) were diagnosed with OA (21.8%), with the highest prevalence in those between 80 and 89 years (31.0%) and in females compared to males (23.9% vs 18.3%). Prevalence decreased with increasing level of care dependency from 30.5% in patients with a low level (0/1) to 18.7% in the highest level of care dependency. A total of 63.4% of the patients with OA received analgesics, with higher use with increasing age. Physical therapy was prescribed to 43.1% of the patients, but use decreased with age. In all, 5.3% of the patients received total joint replacement in 2014.

conclusionThe lower frequency of coded OA with increasing level of care dependency may reflect underdiagnosis, and patients with many other medical problems seem to be at risk for inadequate recognition and treatment of their OA.

Indexed as

Administrative Claims, HealthcareAgedAged, 80 and overAge FactorsAnalgesicsArthroplasty, Replacement, HipArthroplasty, Replacement, KneeCross-Sectional StudiesFemaleGermanyHome Care ServicesHumansInsurance, HealthMaleMiddle AgedOsteoarthritis, HipAnalgesicsagedanalgesicsfrail elderlyhealth services researchosteoarthritistotal joint replacement

Identifiers

PMID30532524
PMCPMC6241868
OpenAlexW2901950190

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.