Evidence map›Paper›PMID 34528776›Full record

ArticleInternational braz j urol : official journal of the Brazilian Society of Urology

Computed-tomography based scoring system predicts outcome for clinical lymph node-positive patients undergoing radical cystectomy.

Lennert Eismann, Severin Rodler, Alexander Tamalunas, Gerald Schulz, Friedrich Jokisch, Yannic Volz, Paulo Pfitzinger, Boris Schlenker, Christian Stief, Olga Solyanik and 2 more

Open access · diamondAbstract read
In one paragraph

Article in International braz j urol : official journal of the Brazilian Society of Urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Comparison of [Molecular imaging and biology · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Radical cystectomy highlighted in International Brazilian Journal of Urology.International braz j urol : official journal of the Brazilian Society of Urology
    Article
  8. The management of muscle-invasive bladder Cancer is still a significant challenge in the clinical practice.International braz j urol : official journal of the Brazilian Society of Urology
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Lennert EismannDepartment of Urology, Ludwig-Maximilians-University, Munich, Germany.
Severin RodlerDepartment of Urology, Ludwig-Maximilians-University, Munich, Germany.
Alexander TamalunasDepartment of Urology, Ludwig-Maximilians-University, Munich, Germany.
Gerald SchulzDepartment of Urology, Ludwig-Maximilians-University, Munich, Germany.
Friedrich JokischDepartment of Urology, Ludwig-Maximilians-University, Munich, Germany.
Yannic VolzDepartment of Urology, Ludwig-Maximilians-University, Munich, Germany.
Paulo PfitzingerDepartment of Urology, Ludwig-Maximilians-University, Munich, Germany.
Boris SchlenkerDepartment of Urology, Ludwig-Maximilians-University, Munich, Germany.
Christian StiefDepartment of Urology, Ludwig-Maximilians-University, Munich, Germany.
Olga SolyanikDepartment of Radiology, Ludwig-Maximilians-University, Munich, Germany.
Alexander BuchnerDepartment of Urology, Ludwig-Maximilians-University, Munich, Germany.
Tobias GrimmDepartment of Urology, Ludwig-Maximilians-University, Munich, Germany.
Ludwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeContrast-enhanced CT scan is the standard staging modality for patients with bladder cancer undergoing radical cystectomy (RC). Involvement of lymph nodes (LN) determines prognosis of patients with bladder cancer. The detection of LN metastasis by CT scan is still insufficient. Therefore, we investigated various CT scan characteristics to predict lymph node ratio (LNR) and its impact on survival. Also, pre-operative CT scan characteristics might hold potential to risk stratify cN+ patients. MATERIALS AND

methodsWe analyzed preoperative CT scans of patients undergoing RC in a tertiary high volume center. Retrospectively, local tumor stage and LN characteristics such as size, morphology (MLN) and number of loco-regional LN (NLN) were investigated and correlation to LNR and survival was analyzed. CT scan characteristics were used to develop a risk stratification using Kaplan-Maier and multivariate analysis.

results764 cN0 and 166 cN+ patients with complete follow-up and imaging data were included in the study. Accuracy to detect LN metastasis and locally advanced tumor stage in CT scan was 72% and 62%. LN larger than 15mm in diameter were significantly associated with higher LNR (p=0.002). Increased NLN correlated with decreased CSS and OS (p=0.001: p=0.002). Furthermore, CT scan based scoring system precisely differentiates low-risk and high-risk profiles to predict oncological outcome (p < 0.001).

conclusionIn our study, solely LN size >15mm significantly correlated with higher LNR. Identification of increased loco-regional LN was associated with worse survival. For the first time, precise risk stratification based on computed-tomography findings was developed to predict oncological outcome for clinical lymph node-positive patients undergoing RC.

Indexed as

CystectomyUrinary Bladder NeoplasmsHumansLymph Node ExcisionLymph NodesNeoplasm StagingPrognosisRetrospective StudiesTomography, X-Ray ComputedLymph Node RatioTomography, X-Ray ComputedUrinary Bladder Neoplasms

Identifiers

PMID34528776
PMCPMC8691251
OpenAlexW3200541270

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.