Evidence map›Paper›PMID 35986287›Full record

ArticleBMC health services research2022

A nationwide registry for recurrent urolithiasis in the upper urinary tract - The RECUR study protocol.

Martin Schoenthaler, Urs Alexander Fichtner, Martin Boeker, Daniela Zoeller, Harald Binder, Hans-Ulrich Prokosch, Friederike Praus, Tabea Walther, Maximilian Glienke, Petar Horki and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
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  5. Review
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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

12 authors at 3 institutions in 1 country.

Martin Schoenthaler *Department of Urology, Faculty of Medicine, Medical Centre - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany. martin.schoenthaler@uniklinik-freiburg.de.ORCID http://orcid.org/0000-0002-3783-4047
Urs Alexander Fichtner *Medical Centre, Faculty of Medicine, Institute of Medical Biometry and Statistics, University of Freiburg, Section of Health Care Research and Rehabilitation Research, Hugstetter Straße 49, 79106, Freiburg, Germany.
Martin BoekerMedical Centre Rechts Der Isar, Faculty of Medicine, Institute of Artificial Intelligence and Medical Informatics, Ismaninger Straße 22, Technical University of Munich, 81675, Munich, Germany.
Daniela ZoellerMedical Centre, Faculty of Medicine, Institute of Medical Biometry and Statistics, Division Medical Data Science, University of Freiburg, Zinkmattenstraße 6A, 79108, Freiburg, Germany.
Harald BinderMedical Centre, Faculty of Medicine, Institute of Medical Biometry and Statistics, University of Freiburg, Stefan-Meier-Straße 49, 79104, Freiburg, Germany.
Hans-Ulrich ProkoschInstitute for Medical Informatics, Biometry and Epidemiology, Wetterkreuz 13, 91058, Erlangen-Tennenlohe, Germany.
Friederike PrausDepartment of Urology, Faculty of Medicine, Medical Centre - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Tabea WaltherDepartment of Urology, Faculty of Medicine, Medical Centre - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Maximilian GlienkeDepartment of Urology, Faculty of Medicine, Medical Centre - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Petar HorkiMedical Centre, Faculty of Medicine, Institute of Medical Biometry and Statistics, University of Freiburg, Stefan-Meier-Straße 49, 79104, Freiburg, Germany.
Christian GratzkeDepartment of Urology, Faculty of Medicine, Medical Centre - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany.
Erik Farin-GlattackerMedical Centre, Faculty of Medicine, Institute of Medical Biometry and Statistics, University of Freiburg, Section of Health Care Research and Rehabilitation Research, Hugstetter Straße 49, 79106, Freiburg, Germany.
University of Freiburg · DEInstitut für Medizinische Informatik, Biometrie und Epidemiologie · DETechnical University of Munich · DE

Funding

Bundesministerium für Bildung und Forschung 01GY1902
6 · The paper itself

Abstract

backgroundUrinary stone disease is a widespread disease with tremendous impact on those affected and on societies around the globe. Nevertheless, clinical and health care research in this area seem to lag far behind cardiovascular diseases or cancer. This may be due to the lack of an immediate deadly threat from the disease and therefore less public and professional interest. However, the patients suffer from recurring, sometimes intense pain and often must be treated in hospital. Long-term morbidity includes doubled rates of chronic kidney disease and arterial hypertension after at least one stone-related event. Observational studies, more specifically, registries and other electronic data sets have been proposed as a means of filling critical gaps in evidence. We propose a nationwide digital and fully automated registry as part of the German Ministry for Education and Research (BMBF) call for the "establishment of model registries".

methodsRECUR builds on the technical infrastructure of Germany's Medical Informatics Initiative. Local data integration centres (DIC) of participating medical universities will collect pseudonymized and harmonized data from respective hospital information systems. In addition to their clinical data, participants will provide patient reported outcomes using a mobile patient app. Scientific data exploration includes queries and analysis of federated data from DICs of eleven participating sites. All primary patient data will remain at the participating sites at all times. With comprehensive data from this longitudinal registry, we will be able to describe the disease burden, to determine and validate risk factors, and to evaluate treatments. Implementation and operation of the RECUR registry will be funded by the BMBF for five years. Subsequently, the registry is to be continued by the German Society of Urology without significant costs for study personnel. DISCUSSION: The proposed registry will substantially improve the structural and procedural framework for patients with recurrent urolithiasis. This includes advanced diagnostic algorithms and treatment pathways. The registry will help us identify those patients who will most benefit from specific interventions to prevent recurrences. The RECUR study protocol and the registry's technical architecture including full digitalization and automation of almost all registry-associated proceedings can be transferred to future registries.

trial registrationThis study is registered at the German Clinical Trial Register (Deutsches Register Klinischer Studien), DRKS-ID DRKS00026923 , date of registration January, 11

Indexed as

Urinary TractUrolithiasisHumansPatient Reported Outcome MeasuresRecurrenceRegistriesData integrationMedical informaticsObservational studyQuality of lifeReal world dataRecurrent urinary stone diseaseRegistryRisk scoresTreatment evaluationUrolithiasis

Identifiers

PMID35986287
PMCPMC9389764
OpenAlexW4292297433

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.