Evidence map›Paper›PMID 38074177›Full record

ArticleUrology annals

Prediction of locally advanced bladder tumor using preoperative clinical parameters.

Syah Mirsya Warli, Fauriski Febrian Prapiska, Dewi Indah Sari Siregar, William Saputra Wijaya

Open access · goldAbstract read
In one paragraph

Article in Urology annals. 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
0.6field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

4 authors at 2 institutions in 1 country.

Syah Mirsya WarliDepartment of Surgery, Division of Urology, Faculty of Medicine, Universitas Sumatera Utara - Haji Adam Malik General Hospital, Medan, Indonesia.
Fauriski Febrian PrapiskaDepartment of Surgery, Division of Urology, Faculty of Medicine, Universitas Sumatera Utara - Haji Adam Malik General Hospital, Medan, Indonesia.
Dewi Indah Sari SiregarDepartment of Clinical Pathology, Faculty of Medicine, Universitas Sumatera Utara - Haji Adam Malik General Hospital, Medan, Indonesia.
William Saputra WijayaDepartment of Urology, Faculty of Medicine, Universitas Indonesia - Haji Adam Malik General Hospital, Medan, Indonesia.
University of North Sumatra · IDUniversity of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Staging of bladder cancer (BC) still remains a challenge. In conjunction with imaging, there is a critical need for accessible and cost-effective predictors to evaluate the existence of locally advanced disease. Objective: Our aim was to determine the role of preoperative clinical parameters in predicting locally advanced cT3/4 and/or cN+ in BC. Materials and Methods: Single-center data consisting of 32 patients were collected prospectively and eligible for the final analysis. The demographics data, presence of hydronephrosis, and results of renal function test (blood urea nitrogen [BUN] and serum creatinine [SCr]) were analyzed between the groups. Analysis of the receiver-operating characteristics curve was performed to determine the optimal cutoff value, sensitivity, and specificity of the preoperative clinical parameters, whereas multivariate logistic regression was used to assess the predictive analysis. Results: According to preoperative computed tomography imaging, 17 (53.1%) out of 32 patients with BC had locally advanced disease. Preoperative hydronephrosis and renal insufficiency as indicated by BUN and SCr levels were independently associated with the presence of locally advanced disease ( Conclusion: Preoperative assessment of hydronephrosis and renal insufficiency was able to predict locally advanced stage risk of BC cT3/4 and/or cN+; thus, preoperative staging might be improved. However, further studies are required to corroborate these findings.

Indexed as

Bladder cancerclinical parametershydronephrosislocally advancedrenal insufficiency

Identifiers

PMID38074177
PMCPMC10699183
OpenAlexW4387830794

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.