Evidence map›Paper›PMID 24370691›Full record

ArticleWorld journal of urology2014

The impact of type 2 diabetes on the outcome of localized renal cell carcinoma.

Thomas Höfner, Martin Zeier, Gencay Hatiboglu, Christian Eisen, Gita Schönberg, Boris Hadaschik, Dogu Teber, Stefan Duensing, Andreas Trumpp, Markus Hohenfellner and 1 more

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Article in World journal of urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

11 authors.

Thomas HöfnerDepartment of Urology, University Hospital Heidelberg, Heidelberg, Germany, kontakt@thomashoefner.de.
Martin Zeier
Gencay Hatiboglu
Christian Eisen
Gita Schönberg
Boris Hadaschik
Dogu Teber
Stefan Duensing
Andreas Trumpp
Markus Hohenfellner
Sascha Pahernik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the influence of type 2 diabetes on cancer-specific outcome in patients undergoing surgery for localized renal cell carcinoma (RCC).

methodsA total of 1,140 patients with localized RCC undergoing radical or partial nephrectomy were enrolled into this retrospective case-control study. Primary outcome was the cancer-specific survival comparing patients with and without type 2 diabetes at the time of surgery. Secondary outcomes were recurrence-free survival and metastases-free survival comparing the same groups. Additionally, the influence of accompanying factors on cancer-specific survival and overall survival of patients was evaluated in a multivariate analysis. Among 1,140 patients included in the analyses, 202 had diabetes at the time of surgery and 938 patients without diabetes served as control.

resultsThe univariate comparisons between patients with and without diabetes regarding recurrence-free, metastases-free, and cancer-specific survival revealed no significant differences. Multivariate results demonstrate that age, BMI, and diabetes had no significant effect on cancer-specific hazard among participants. After adjustment of the factors in terms of overall survival, however, increased age, increased BMI, and type 2 diabetes at the time of surgery were independent risk factors for the occurrence of the event death.

conclusionsType 2 diabetes and obesity at the time of surgery have no significant impact on cancer-specific and recurrence-free survival in patients with localized renal cancer.

Indexed as

AgedBody Mass IndexCarcinoma, Renal CellDiabetes Mellitus, Type 2Disease-Free SurvivalFemaleHumansKidney NeoplasmsMaleMiddle AgedNephrectomyRetrospective StudiesRisk FactorsSurvival RateTreatment Outcome

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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.