Evidence map›Paper›PMID 35462401›Full record

ArticleJapanese journal of clinical oncology2022

Significant impact of a history of prior or concomitant upper urinary tract cancer on the recurrence and progression of non-muscle invasive bladder cancer.

Yuto Matsushita, Asuka Kawakami, Ryo Sato, Kyohei Watanabe, Hiromitsu Watanabe, Keita Tamura, Daisuke Motoyama, Toshiki Ito, Takayuki Sugiyama, Atsushi Otsuka and 1 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Japanese journal of clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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, top 93% 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Yuto MatsushitaDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.ORCID 0000-0002-8159-9793
Asuka KawakamiDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Ryo SatoDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.ORCID 0000-0002-1340-4739
Kyohei WatanabeDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.ORCID 0000-0002-1171-9948
Hiromitsu WatanabeDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Keita TamuraDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.ORCID 0000-0002-4305-7328
Daisuke MotoyamaDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Toshiki ItoDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Takayuki SugiyamaDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Atsushi OtsukaDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Hideaki MiyakeDepartment of Urology, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
Hamamatsu University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of the present study was to evaluate the prognostic impact of the upper urinary tract cancer status on recurrence-free survival and progression-free survival, and to develop risk stratification systems that include the upper urinary tract cancer status for patients with non-muscle invasive bladder cancer. PATIENTS AND

methodsThe present study included 40 (upper urinary tract cancer-non-muscle invasive bladder cancer group) and 285 (non-muscle invasive bladder cancer alone group) patients with and without a history of prior or concomitant upper urinary tract cancer, respectively. Nine clinicopathological findings between the two groups were compared, and risk stratification systems for the recurrence and progression of non-muscle invasive bladder cancer were developed.

resultsRecurrence-free survival and progression-free survival in the upper urinary tract cancer-non-muscle invasive bladder cancer group were significantly inferior to those in the NMIBC alone group (P < 0.001 and P = 0.006, respectively). Multivariate analyses identified the following independent prognosticators: multiplicity and upper urinary tract cancer status for recurrence-free survival, and pT category and upper urinary tract cancer status for progression-free survival. Significant differences were noted by the risk stratification systems based on the positive number of independent predictors of recurrence-free survival and progression-free survival (P < 0.001 and P = 0.007, respectively). The concordance indices of recurrence-free survival were 0.627, 0.588 and 0.499 in this study stratification, EORTC risk table and CUETO model, respectively. Those of progression-free survival were 0.752, 0.740 and 0.714, respectively.

conclusionThe present results suggest the significant impact of a history of prior or concomitant UUTC on recurrence-free survival and progression-free survival in non-muscle invasive bladder cancer patients, and risk stratification systems that include the upper urinary tract cancer status for the recurrence and progression of non-muscle invasive bladder cancer are promising tools for predicting the outcomes of these patients.

Indexed as

Neoplasm Recurrence, LocalUrinary Bladder NeoplasmsUrologic NeoplasmsDisease ProgressionHumansNeoplasm InvasivenessPrognosisProgression-Free SurvivalRetrospective Studiesprogression-free survivalrecurrence-free survivalrenal pelvic cancerrisk stratificationureter cancer

Identifiers

PMID35462401
OpenAlexW4224510323

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.