Evidence map›Paper›PMID 34503188›Full record

ReviewCancers2021

Performance of Narrow Band Imaging (NBI) and Photodynamic Diagnosis (PDD) Fluorescence Imaging Compared to White Light Cystoscopy (WLC) in Detecting Non-Muscle Invasive Bladder Cancer: A Systematic Review and Lesion-Level Diagnostic Meta-Analysis.

Giorgio I Russo, Tamir N Sholklapper, Andrea Cocci, Giuseppe Broggi, Rosario Caltabiano, Angela B Smith, Yair Lotan, Giuseppe Morgia, Ashish M Kamat, J Alfred Witjes and 4 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
11.5field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 78 citations in OpenAlex.

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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

14 authors at 7 institutions in 3 countries.

Giorgio I RussoUrology Section, Department of Surgery, University of Catania, 95123 Catania, Italy.
Tamir N SholklapperDepartment of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.ORCID 0000-0002-2059-1966
Andrea CocciDepartment of Minimally Invasive and Robotic Urologic Surgery and Kidney Transplantation, University of Florence, 50100 Florence, Italy.
Giuseppe BroggiDepartment of Medical and Surgical Sciences and Advanced Technologies, G.F. Ingrassia, Anatomic Pathology, University of Catania, 95123 Catania, Italy.ORCID 0000-0003-2576-6523
Rosario CaltabianoDepartment of Medical and Surgical Sciences and Advanced Technologies, G.F. Ingrassia, Anatomic Pathology, University of Catania, 95123 Catania, Italy.ORCID 0000-0001-8591-8010
Angela B SmithDepartment of Urology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Yair LotanDepartment of Urology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.ORCID 0000-0001-5692-2723
Giuseppe MorgiaUrology Section, Department of Surgery, University of Catania, 95123 Catania, Italy.
Ashish M KamatDepartment of Urology, University of Texas MD Anderson Cancer Center, 1515 Pressler, Unit 1373, Houston, TX 77030, USA.
J Alfred WitjesDepartment of Urology, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands.
Siamak DaneshmandDepartment of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Mihir M DesaiDepartment of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Indebir S GillDepartment of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Giovanni E CacciamaniDepartment of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
University of Southern California · USUniversity of Catania · ITRadboud University Nijmegen · NLThe University of Texas MD Anderson Cancer Center · USThe University of Texas Southwestern Medical Center · USUniversity of Florence · ITUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite early detection and regular surveillance of non-muscle invasive bladder cancer (NMIBC), recurrence and progression rates remain exceedingly high for this highly prevalent malignancy. Limited visualization of malignant lesions with standard cystoscopy and associated false-negative biopsy rates have been the driving force for investigating alternative and adjunctive technologies for improved cystoscopy. The aim of our systematic review and meta-analysis was to compare the sensitivity, specificity, and oncologic outcomes of photodynamic diagnosis (PDD) fluorescence, narrow band imaging (NBI), and conventional white light cystoscopy (WLC) in detecting NMIBC. Out of 1,087 studies reviewed, 17 prospective non-randomized and randomized controlled trials met inclusion criteria for the study. We demonstrated that tumor resection with either PDD and NBI exhibited lower recurrence rates and greater diagnostic sensitivity compared to WLC alone. NBI demonstrated superior disease sensitivity and specificity as compared to WLC and an overall greater hierarchical summary receiver operative characteristic. Our findings are consistent with emerging guidelines and underscore the value of integrating these enhanced technologies as a part of the standard care for patients with suspected or confirmed NMIBC.

Indexed as

5-ALA5-aminolaevulinic acidaccuracy meta-analysisbladder cancerblue light cystoscopycystoscopyHALhexaminolevulinatenarrow band imagingPDDphotodynamic diagnosis fluorescence

Identifiers

PMID34503188
PMCPMC8431313
OpenAlexW3197526216

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.