Evidence map›Paper›PMID 37755575›Full record

ReviewUrologie (Heidelberg, Germany)2023

[Report template from the German Society of Urology and the German Radiological Society for standardized, structured reporting of native computed tomography scans in the diagnosis of urinary stones].

M F von Bargen, M Glienke, K Wilhelm, J Neubauer, J Weiß, E Kotter, R Mager, T Jorg, P Mildenberger, P Pinto Dos Santos and 2 more

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Urologie (Heidelberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 70% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Trial
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.

M F von BargenMedizinische Fakultät, Klinik für Urologie, Universitätsklinikum Freiburg, Hugstetter Str. 55, 79106, Freiburg, Deutschland. maximilian.vonbargen@uniklinik-freiburg.de.
M GlienkeMedizinische Fakultät, Klinik für Urologie, Universitätsklinikum Freiburg, Hugstetter Str. 55, 79106, Freiburg, Deutschland.
K WilhelmMedizinische Fakultät, Klinik für Urologie, Universitätsklinikum Freiburg, Hugstetter Str. 55, 79106, Freiburg, Deutschland.
J NeubauerMedizinische Fakultät, Klinik für Radiologie, Universitätsklinikum Freiburg, Freiburg, Deutschland.
J WeißMedizinische Fakultät, Klinik für Radiologie, Universitätsklinikum Freiburg, Freiburg, Deutschland.
E KotterMedizinische Fakultät, Klinik für Radiologie, Universitätsklinikum Freiburg, Freiburg, Deutschland.
R MagerKlinik für Urologie, Universitätsklinikum Mainz, Mainz, Deutschland.
T JorgKlinik für Radiologie, Universitätsklinikum Mainz, Mainz, Deutschland.
P MildenbergerKlinik für Radiologie, Universitätsklinikum Mainz, Mainz, Deutschland.
P Pinto Dos SantosKlinik für Radiologie, Universitätsklinikum Köln, Köln, Deutschland.
C GratzkeMedizinische Fakultät, Klinik für Urologie, Universitätsklinikum Freiburg, Hugstetter Str. 55, 79106, Freiburg, Deutschland.
M SchoenthalerMedizinische Fakultät, Klinik für Urologie, Universitätsklinikum Freiburg, Hugstetter Str. 55, 79106, Freiburg, Deutschland.
University Medical Center Freiburg · DEJohannes Gutenberg University Mainz · DECentrum für Integrierte Onkologie · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standardized structured radiological reporting (SSRB) has been promoted in recent years. The aims of SSRB include that reports be complete, clear, understandable, and stringent. Repetitions or superfluous content should be avoided. In addition, there are advantages in the presentation of chronological sequences, tracking and correlations with structured findings from other disciplines and also the use of artificial intelligence (AI)-based methods. The development of the presented template for SSRB of native computed tomography for urinary stones followed the "process for the creation of quality-assured and consensus-based report templates as well as subsequent continuous quality control and updating" proposed by the German Radiological Society (DRG). This includes several stages of drafts, consensus meetings and further developments. The final version was published on the DRG website ( www.befundung.drg.de ). The template will be checked annually by the steering group and adjusted as necessary. The template contains 6 organ domains (e.g., right kidney) for which entries can be made for a total of 21 different items, mostly with selection windows. If "no evidence of stones" is selected for an organ in the first query, the query automatically jumps to the next organ, so that the processing can be processed very quickly despite the potentially high total number of individual queries for all organs. The German, European, and North American Radiological Societies perceive the establishment of a standardized structured diagnosis of tomographic imaging methods not only in oncological radiology as one of the current central tasks. With the present template for the description of computed tomographic findings for urinary stone diagnostics, we are presenting the first version of a urological template. Further templates for urological diseases are to follow.

Indexed as

RadiologyUrinary CalculiUrolithiasisUrologyArtificial IntelligenceHumansTomography, X-Ray ComputedDiagnosticsKidney stonesUreteral stonesUrinary stonesUrolithiasis

Identifiers

PMID37755575
OpenAlexW4387077055

What OpenQuestion holds

Textmetadata
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.