Evidence map›Paper›PMID 37221298›Full record

ReviewOrthopadie (Heidelberg, Germany)2023

[10 Years of the German Arthroplasty Registry-EPRD: what has been achieved?]

Alexander W Grimberg, Arnd Steinbrück

Open access · hybridAbstract readEnglish AbstractReview
In one paragraph

Review in Orthopadie (Heidelberg, Germany), 2023. 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
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  5. Observational
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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

2 authors at 1 institution in 1 country.

Alexander W GrimbergEPRD Deutsche Endoprothesenregister gGmbH, Str. des 17. Juni 106-108, 10623, Berlin, Deutschland. grimberg@eprd.de.
Arnd SteinbrückEPRD Deutsche Endoprothesenregister gGmbH, Str. des 17. Juni 106-108, 10623, Berlin, Deutschland.
University Hospital Augsburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The German Arthroplasty Registry (EPRD) has been accumulating data on hip and knee arthroplasty procedures for 10 years. Even though the EPRD is a voluntary registry, it currently includes more than 2 million documented surgical procedures in Germany. This ranks the EPRD as the third largest registry in the world. The highly granular classification of the EPRD product database, which currently includes more than 70,000 components, is set to become the international standard. The linkage of hospital case data with specific implant component data and routine data from health insurance providers enables robust arthroplasty survival analyses. This provides hospitals, manufacturers, and the specialist community with access to specific results that contribute to improving arthroplasty quality. The registry is gaining increasing international recognition by publishing in peer-reviewed journals. An application procedure also allows "third-party" data access. Furthermore, the EPRD has also established an early warning system to detect anomalies in outcome. Software-based detection of potential implant component mismatches allows notification of hospitals concerned. In 2023, the EPRD will trial extending its data collection to include patient satisfaction surveys (i.e., patient-reported outcome measures), and subsequently to surgeon-specific data.

Indexed as

Arthroplasty, Replacement, KneeData CollectionGermanyHospitalsHumansRegistriesData analyticsHip arthroplastyImplant survivalKnee arthroplastyQuality assurance

Identifiers

PMID37221298
PMCPMC10261212
OpenAlexW4377862056

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.