Evidence map›Paper›PMID 38484216›Full record

Observational studyJCO clinical cancer informatics2024

Electronic Documentation of Intraoperative Observation of Cystoscopic Procedures Using the cMDX Information System.

Okyaz Eminaga, Timothy Jiyong Lee, Vinh La, Bernhard Breil, Lei Xing, Joseph C Liao

Abstract readObservational Study
In one paragraph

Observational study in JCO clinical cancer informatics, 2024. 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

6 authors.

Okyaz EminagaAI VOBIS, Palo Alto, CA.ORCID 0000-0003-0861-3138
Timothy Jiyong LeeDepartment of Urology, Stanford University School of Medicine, Stanford, CA.
Vinh LaDepartment of Urology, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0002-6980-300X
Bernhard BreilFaculty of Health Care, Health Informatics, Hochschule Niederrhein, University of Applied Sciences, Krefeld, Germany.ORCID 0000-0002-2891-5558
Lei XingDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, CA.
Joseph C LiaoDepartment of Urology, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0003-2448-5463

Funding

Intraoperative integration of artificial intelligence during cystoscopic surgeryR01CA260426 · NCI · STANFORD UNIVERSITY · PI JOSEPH C LIAO, Lei Xing · 2022 to 2026
$2.3M
BCCMA: Basic and Translational Mechanisms of Cancer Initiation of the Urothelium in Veterans Exposed to Carcinogens: Leveraging Artificial Neural Networks to Enhance Detection of Carcinoma in situI01BX005598 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI JOSEPH C LIAO · 2022 to 2026
–
BLRD VA I01 BX005598NCI NIH HHS R01 CA260426
6 · The paper itself

Abstract

purposeAccurate documentation of lesions during transurethral resection of bladder tumors (TURBT) is essential for precise diagnosis, treatment planning, and follow-up care. However, optimizing schematic documentation techniques for bladder lesions has received limited attention. MATERIALS AND

methodsThis prospective observational study used a cMDX-based documentation system that facilitates graphical representation, a lesion-specific questionnaire, and heatmap analysis with a posterization effect. We designed a graphical scheme for bladder covering bladder landmarks to visualize anatomic features and to document the lesion location. The lesion-specific questionnaire was integrated for comprehensive lesion characterization. Finally, spatial analyses were applied to investigate the anatomic distribution patterns of bladder lesions.

resultsA total of 97 TURBT cases conducted between 2021 and 2023 were included, identifying 176 lesions. The lesions were distributed in different bladder areas with varying frequencies. The distribution pattern, sorted by frequency, was observed in the following areas: posterior, trigone, lateral right and anterior, and lateral left and dome. Suspicious levels were assigned to the lesions, mostly categorized either as indeterminate or moderate. Lesion size analysis revealed that most lesions fell between 5 and 29 mm.

conclusionThe study highlights the potential of schematic documentation techniques for informed decision making, quality assessment, primary research, and secondary data utilization of intraoperative data in the context of TURBT. Integrating cMDX and heatmap analysis provides valuable insights into lesion distribution and characteristics.

Indexed as

Urinary Bladder NeoplasmsDocumentationHumansInformation SystemsProspective StudiesUrologic Surgical Procedures

Identifiers

PMID38484216
PMCPMC10954066

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.