Evidence map›Paper›PMID 28247362›Full record

ArticleHormones & cancer2017

Metabolic Syndrome Negatively Impacts the Outcome of Localized Renal Cell Carcinoma.

Maximilian Christian Kriegmair, Philipp Mandel, Stefan Porubsky, Julia Dürr, Nina Huck, Philipp Nuhn, Daniel Pfalzgraf, Maurice Stephan Michel, Nina Wagener

Open access · greenAbstract read
In one paragraph

Article in Hormones & cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Observational
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  6. [Correlation between metabolic syndrome and prognosis of patients with clear cell renal cell carcinoma].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2022
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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

9 authors at 3 institutions in 1 country.

Maximilian Christian KriegmairDepartment of Urology, Mannheim Medical Center, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany. Maximilian.Kriegmair@umm.de.
Philipp MandelDepartment of Urology, UKE Medical Center, University of Hamburg, Hamburg, Germany.
Stefan PorubskyDepartment of Pathology, Mannheim Medical Center, University of Heidelberg, Heidelberg, Germany.
Julia DürrDepartment of Urology, Mannheim Medical Center, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Nina HuckDepartment of Urology, Mannheim Medical Center, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Philipp NuhnDepartment of Urology, Mannheim Medical Center, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Daniel PfalzgrafDepartment of Urology, Mannheim Medical Center, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Maurice Stephan MichelDepartment of Urology, Mannheim Medical Center, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Nina WagenerDepartment of Urology, Mannheim Medical Center, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167, Mannheim, Germany.
Heidelberg University · DEUniversity Medical Centre Mannheim · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to analyze the impact of metabolic syndrome (MetS) on outcome of patients with localized renal cell carcinoma (RCC). A retrospective database was compiled consisting of 646 patients who underwent surgery for localized RCC between 2005 and 2014. A total of 439 patients were eligible for final analysis. For diagnosis of MetS, the WHO criteria of 1998 were used. Median follow-up was 32 months (ranging from 2 to 119). Kaplan-Meier and log-rank analyses were performed to compare patients with and without MetS or its components. Univariate and multivariate logistic regression identified prognostic factors for progression-free survival (PFS), cancer-specific survival (CSS), and overall survival (OS). In our cohort, 9.8% (n = 43) of patients were diagnosed with MetS. There were no differences between patients with and without MetS regarding clinicopathological parameters with the exception of patients' age (p = 0.002). Kaplan-Meier and log-rank analyses revealed a shorter PFS for patients with MetS (p = 0.018), whereas no differences were found for each of the single components of MetS, namely, diabetes mellitus (DM) (p = 0.332), BMI >30 kg/m

Indexed as

AdultAgedAged, 80 and overCarcinoma, Renal CellDisease-Free SurvivalFemaleHumansKaplan-Meier EstimateKidney NeoplasmsMaleMetabolic SyndromeMiddle AgedNeoplasm StagingRetrospective StudiesSurvival AnalysisTreatment OutcomeDiabetes mellitusDyslipidemiaHypertensionMetabolic syndromeObesityRenal cell carcinomaSurvival

Identifiers

PMID28247362
PMCPMC10355923
OpenAlexW2592585819

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.