Evidence map›Paper›PMID 30390642›Full record

ArticleBMC cancer2018

Performance of prostate cancer recurrence nomograms by obesity status: a retrospective analysis of a radical prostatectomy cohort.

Charnita Zeigler-Johnson, Aaron Hudson, Karen Glanz, Elaine Spangler, Knashawn H Morales

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

5 authors at 3 institutions in 1 country.

Charnita Zeigler-JohnsonThomas Jefferson University, 834 Chestnut Street, Suite 311, Philadelphia, PA, 19107, USA. Charnita.zeigler-johnson@jefferson.edu.ORCID http://orcid.org/0000-0003-2641-7755
Aaron HudsonUniversity of Washington, Seattle, WA, USA.
Karen GlanzUniversity of Pennsylvania, Philadelphia, PA, USA.
Elaine SpanglerUniversity of Pennsylvania, Philadelphia, PA, USA.
Knashawn H MoralesUniversity of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USThomas Jefferson University · USUniversity of Washington · US

Funding

Research Traiing/Education CoreP60MD006900 · NIMHD · UNIVERSITY OF PENNSYLVANIA · PI GLANZ, KAREN · 2012 to 2016
$6.6M
National Institutes of Health P60-MD006900NIMHD NIH HHS P60 MD006900
6 · The paper itself

Abstract

backgroundObesity has been associated with aggressive prostate cancer and poor outcomes. It is important to understand how prognostic tools for that guide prostate cancer treatment may be impacted by obesity. The goal of this study was to evaluate the predicting abilities of two prostate cancer (PCa) nomograms by obesity status.

methodsWe examined 1576 radical prostatectomy patients categorized into standard body mass index (BMI) groups. Patients were categorized into low, medium, and high risk groups for the Kattan and CaPSURE/CPDR scores, which are based on PSA value, Gleason score, tumor stage, and other patient data. Time to PCa recurrence was modeled as a function of obesity, risk group, and interactions.

resultsAs expected for the Kattan score, estimated hazard ratios (95% CI) indicated higher risk of recurrence for medium (HR = 2.99, 95% CI = 2.29, 3.88) and high (HR = 8.84, 95% CI = 5.91, 13.2) risk groups compared to low risk group. The associations were not statistically different across BMI groups. Results were consistent for the CaPSURE/CPDR score. However, the difference in risk of recurrence in the high risk versus low risk groups was larger for normal weight patients than the same estimate in the obese patients.

conclusionsWe observed no statistically significant difference in the association between PCa recurrence and prediction scores across BMI groups. However, our study indicates that there may be a stronger association between high risk status and PCa recurrence among normal weight patients compared to obese patients. This suggests that high risk status based on PCa nomogram scores may be most predictive among normal weight patients. Additional research in this area is needed.

Indexed as

Body Mass IndexCohort StudiesHumansMaleNeoplasm GradingNeoplasm Recurrence, LocalNeoplasm StagingNomogramsObesityProstatectomyProstatic NeoplasmsROC CurveSurvival AnalysisBiochemical recurrenceCaPSURE/CPDR scoreKattan scoreObesityProstate Cancer

Identifiers

PMID30390642
PMCPMC6215603
OpenAlexW2899293879

What OpenQuestion holds

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LicenceCC BY
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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.