Evidence map›Paper›PMID 25483745›Full record

ArticleCancer research and treatment2015

Previous Bladder Cancer History in Patients with High-Risk, Non-muscle-invasive Bladder Cancer Correlates with Recurrence and Progression: Implications of Natural History.

Lampros P Mitrakas, Ioannis V Zachos, Vassileios P Tzortzis, Stavros A Gravas, Erasmia C Rouka, Konstantinos I Dimitropoulos, Gerasimos P Vandoros, Anastasios D Karatzas, Michael D Melekos, Athanasios G Papavassiliou

Open access · hybridAbstract read
In one paragraph

Article in Cancer research and treatment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 6 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

10 authors at 4 institutions in 1 country.

Lampros P MitrakasDepartment of Urology, University of Thessaly, School of Health Sciences, Faculty of Medicine, University Hospital of Larissa, Larissa, Greece.
Ioannis V ZachosDepartment of Urology, University of Thessaly, School of Health Sciences, Faculty of Medicine, University Hospital of Larissa, Larissa, Greece.
Vassileios P TzortzisDepartment of Urology, University of Thessaly, School of Health Sciences, Faculty of Medicine, University Hospital of Larissa, Larissa, Greece.
Stavros A GravasDepartment of Urology, University of Thessaly, School of Health Sciences, Faculty of Medicine, University Hospital of Larissa, Larissa, Greece.
Erasmia C RoukaDepartment of Transfusion Medicine, University of Thessaly, School of Health Sciences, Faculty of Medicine, University Hospital of Larissa, Larissa, Greece.
Konstantinos I DimitropoulosDepartment of Urology, University of Thessaly, School of Health Sciences, Faculty of Medicine, University Hospital of Larissa, Larissa, Greece.
Gerasimos P VandorosDepartment of Pathology, Agios Andreas Hospital, Patras, Greece.
Anastasios D KaratzasDepartment of Urology, University of Thessaly, School of Health Sciences, Faculty of Medicine, University Hospital of Larissa, Larissa, Greece.
Michael D MelekosDepartment of Urology, University of Thessaly, School of Health Sciences, Faculty of Medicine, University Hospital of Larissa, Larissa, Greece.
Athanasios G PapavassiliouDepartment of Biological Chemistry, Medical School, University of Athens, Athens, Greece.
University of Thessaly · GRUniversity Hospital of Larissa · GRAgios Andreas Hospital · GRNational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to assess the correlation of previous bladder cancer history with the recurrence and progression of patients with high-risk non-muscle-invasive bladder cancer treated with adjuvant Bacillus Calmette-Guérin (BCG) and to evaluate their natural history. MATERIALS AND

methodsPatients were divided into two groups based on the existence of previous bladder cancer (primary, non-primary). A logistic regression analysis was used to identify the possible differences in the probabilities of recurrence and progression with respect to tumor history, while potential differences due to gender, tumor size (> 3 cm, < 3 cm), stage (pTa, T1), concomitant carcinoma in situ (pTis) and number of tumors (single, multiple) were also assessed. Univariate and multivariate models were employed. In addition, Kaplan-Meier survival analysis was used to compare recurrence- and progression-free survival between the groups.

resultsA total of 192 patients were included (144 with primary and 48 with non-primary tumors). The rates of recurrence and progression for patients with primary tumors were 27.8% and 12.5%, respectively. The corresponding percentages for patients with non-primary tumors were 77.1% and 33.3%, respectively. The latter group of patients displayed significantly higher probabilities of recurrence (p=0.000; 95% confidence interval [CI], 4.067 to 18.804) and progression (p=0.002; 95% CI, 1.609 to 7.614) in a univariate logistic regression analysis. Previous bladder cancer history remained significant in the multivariate model accounting for history, age, gender, tumor size , number of tumors, stage and concomitant pTis (p=0.000; 95% CI, 4.367 to 21.924 and p=0.002; 95% CI, 1.611 to 8.182 for recurrence and progression respectively). Kaplan-Meier curves revealed that the non-primary group hadreduced progression- and recurrence-free survival.

conclusionPrevious non-muscle-invasive bladder cancer history correlates significantly with recurrence and progression in patients with high-risk non-muscle-invasive disease treated with adjuvant BCG.

Indexed as

Disease progressionHigh-riskNon-muscle-invasive bladder cancerPrevious bladder cancer historyRecurrence

Identifiers

PMID25483745
PMCPMC4506110
OpenAlexW1972041281

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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.