Evidence map›Paper›PMID 30976565›Full record

ReviewTranslational andrology and urology2019

Transurethral resection of bladder tumours: established and new methods of tumour visualisation.

Karl Tully, Rein-Jüri Palisaar, Marko Brock, Peter Bach, Nicolas von Landenberg, Björn Löppenberg, Christian von Bodman, Joachim Noldus, Florian Roghmann

Abstract readReview
In one paragraph

Review in Translational andrology and urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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

9 authors.

Karl TullyDepartment of Urology, Marien Hospital, Ruhr-University Bochum, Herne, Germany.
Rein-Jüri PalisaarDepartment of Urology, Marien Hospital, Ruhr-University Bochum, Herne, Germany.
Marko BrockDepartment of Urology, Marien Hospital, Ruhr-University Bochum, Herne, Germany.
Peter BachDepartment of Urology, Marien Hospital, Ruhr-University Bochum, Herne, Germany.
Nicolas von LandenbergDepartment of Urology, Marien Hospital, Ruhr-University Bochum, Herne, Germany.
Björn LöppenbergDepartment of Urology, Marien Hospital, Ruhr-University Bochum, Herne, Germany.
Christian von BodmanDepartment of Urology, Marien Hospital, Ruhr-University Bochum, Herne, Germany.
Joachim NoldusDepartment of Urology, Marien Hospital, Ruhr-University Bochum, Herne, Germany.
Florian RoghmannDepartment of Urology, Marien Hospital, Ruhr-University Bochum, Herne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transurethral resection (TUR) of bladder tumours does not only serve diagnostic purposes by securing histological proof of the disease but might also resemble the final therapy. During recent years, technical innovations improved the intraoperative detection and visibility of tumourous lesions during TUR. The most important techniques, which have individually found their way into international guidelines, are photodynamic imaging (PDI) and narrowband imaging (NBI). Furthermore, there are more or less experimental approaches such as optical coherence tomography (OCT), confocal laser endomicroscopy (CLE), red/green/blue analysis (RGB) of WLC. Moreover, the combination of two or more techniques in a multiparametric setting is another development in improving intraoperative imaging. The aim of this review is to describe today's knowledge of the more established methods and to depict the most recent developments in intraoperative imaging.

Indexed as

Bladder cancerphotodynamic diagnosticstransurethral resection (TUR)tumor visualization

Identifiers

PMID30976565
PMCPMC6414343

What OpenQuestion holds

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Registered trials

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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.