Evidence map›Paper›PMID 41790262›Full record

ArticleUrologie (Heidelberg, Germany)2026

[First German expert consensus on telemedicine in urology].

Severin Rodler, Julian Risch, Marie-Luise Weiss, Sami Leyh-Bannurah, Moritz von Bueren, Fabian Siegel, Andreas Meißner, Alexander Piotrowski, Maximilian Bauser, Dirk M Potempa and 10 more

Abstract readEnglish Abstract
In one paragraph

Article in Urologie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Severin RodlerKlinik für Urologie, Universitätsklinikum Schleswig-Holstein, Arnold-Heller-Straße 3, 24103, Kiel, Deutschland. Severin.rodler@uksh.de.
Julian RischKlinik für Urologie, Universitätsklinikum Schleswig-Holstein, Arnold-Heller-Straße 3, 24103, Kiel, Deutschland.
Marie-Luise WeissKlinik für Urologie, Universitätsklinikum Schleswig-Holstein, Arnold-Heller-Straße 3, 24103, Kiel, Deutschland.
Sami Leyh-BannurahArbeitskreis Künstliche Intelligenz und Digitalisierung der Deutschen Gesellschaft für Urologie, Düsseldorf, Deutschland.
Moritz von BuerenUrologische Facharztpraxis, Freiburg, Deutschland.
Fabian SiegelArbeitskreis Informationstechnologie und Dokumentation (IT@Doc), Düsseldorf, Deutschland.
Andreas MeißnerArbeitskreis Informationstechnologie und Dokumentation (IT@Doc), Düsseldorf, Deutschland.
Alexander PiotrowskiArbeitskreis Informationstechnologie und Dokumentation (IT@Doc), Düsseldorf, Deutschland.
Maximilian BauserMedizinische Klinik und Poliklinik 1, Uniklinikum Würzburg, Würzburg, Deutschland.
Dirk M PotempaArbeitskreis Informationstechnologie und Dokumentation (IT@Doc), Düsseldorf, Deutschland.
Mattis FrankeKlinik für Urology, Asklepios Klinik Altona, Hamburg, Deutschland.
Andreas W SchneiderArbeitskreis Informationstechnologie und Dokumentation (IT@Doc), Düsseldorf, Deutschland.
Edwin HermannPrivatpraxis Herrmann & Secker, Münster, Deutschland.
Johannes von BuerenAccessus Science Technologies GmbH, München, Deutschland.
Jakob KohlerKlinik für Urologie, Universitätsklinikum Schleswig-Holstein, Arnold-Heller-Straße 3, 24103, Kiel, Deutschland.
Philipp NuhnKlinik für Urologie, Universitätsklinikum Schleswig-Holstein, Arnold-Heller-Straße 3, 24103, Kiel, Deutschland.
Christian WülfingArbeitskreis Künstliche Intelligenz und Digitalisierung der Deutschen Gesellschaft für Urologie, Düsseldorf, Deutschland.
Ulrich WitzschArbeitskreis Informationstechnologie und Dokumentation (IT@Doc), Düsseldorf, Deutschland.
Julian StruckKlinik für Urologie, Universitätsklinikum Brandenburg an der Havel, Brandenburg an der Havel, Deutschland.
Hendrik BorgmannArbeitskreis Künstliche Intelligenz und Digitalisierung der Deutschen Gesellschaft für Urologie, Düsseldorf, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelemedicine is widely used in urology, but it has so far been insufficiently considered in clinical guidelines.

methodsA two-stage expert consensus was conducted in which urology experts evaluated statements in two rounds. Between rounds, discussions took place either virtually or in person. Statements with 75% agreement in the final round were considered to be accepted.

resultsFifteen experts participated in the first round of voting, achieving consensus on 20 out of 21 statements. After renewed discussion, 11 experts accepted 22 out of 23 statements.

conclusionTelemedicine opens up new models of care in urology. Successful implementation requires adjustments in reimbursement and the training of all healthcare professionals.

Indexed as

TelemedicineUrologyConsensusConsensus Statements as TopicGermanyHumansAsynchronousDelphi ConsensusSynchronousTelemedicineTraining

Identifiers

PMID41790262
PMCPMC13233988

What OpenQuestion holds

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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.