Evidence map›Paper›PMID 27473687›Full record

ArticleBMC cancer2016

The impact of body mass index on treatment outcomes for patients with low-intermediate risk prostate cancer.

Kosj Yamoah, Charnita M Zeigler-Johnson, Abra Jeffers, Bruce Malkowicz, Elaine Spangler, Jong Y Park, Alice Whittemore, Timothy R Rebbeck

Abstract read
In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. 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

8 authors.

Kosj YamoahDepartment of Radiation Oncology and Cancer Epidemiology, Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL, 33612, USA. Kosj.Yamoah@moffitt.org.
Charnita M Zeigler-JohnsonJefferson Medical College and Kimmel Cancer Center of Thomas Jefferson University, Philadelphia, PA, USA.
Abra JeffersStanford University School of Medicine, Stanford, CA, USA.
Bruce MalkowiczThe Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Elaine SpanglerThe Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Jong Y ParkDepartment of Radiation Oncology and Cancer Epidemiology, Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL, 33612, USA.
Alice WhittemoreStanford University School of Medicine, Stanford, CA, USA.
Timothy R RebbeckDana Farber Cancer Institute and Harvard TH Chan School of Public Health, Boston, MA, USA.

Funding

Segregation and Racial Disparities in Prostate CancerP50CA105641 · NCI · UNIVERSITY OF PENNSYLVANIA · PI REBBECK, TIMOTHY R · 2003 to 2009
$9.6M
Research Traiing/Education CoreP60MD006900 · NIMHD · UNIVERSITY OF PENNSYLVANIA · PI REBBECK, TIMOTHY R · 2012 to 2016
$6.6M
MOLECULAR EPIDEMIOLOGY OF PROSTATE CANCERR01CA085074 · NCI · UNIVERSITY OF PENNSYLVANIA · PI REBBECK, TIMOTHY R · 1999 to 2010
$2.9M
NCI NIH HHS P50 CA105641NCI NIH HHS R01 CA085074NIMHD NIH HHS P60 MD006900
6 · The paper itself

Abstract

backgroundLittle is known about the relationship between preoperative body mass index and need for adjuvant radiation therapy (RT) following radical prostatectomy. The goal of this study was to evaluate the utility of body mass index in predicting adverse clinical outcomes which require adjuvant RT among men with organ-confined prostate cancer (PCa).

methodsWe used a prospective cohort of 1,170 low-intermediate PCa risk men who underwent radical prostatectomy and evaluated the effect of body mass index on adverse pathologic features and freedom from biochemical failure (FFbF). Clinical and pathologic variables were compared across the body mass index groups using an analysis of variance model for continuous variables or χ(2) for categorical variables. Factors related to adverse pathologic features were examined using logistic regression models. Time to biochemical recurrence was compared across the groups using a log-rank survivorship analysis. Multivariable analysis predicting biochemical recurrence was conducted with a Cox proportional hazards model.

resultsPatients with elevated body mass index (defined as body mass index ≥25 kg/m(2)) had greater extraprostatic extension (p = 0.004), and positive surgical margins (p = 0.01). Elevated body mass index did not correlate with preoperative risk groupings (p = 0.94). However, when compared with non-obese patients (body mass index <30 kg/m(2)), obese patients (body mass index ≥30 kg/m(2)) were much more likely to have higher rate of adverse pathologic features (p = 0.006). In patients with low- and intermediate- risk disease, obesity was strongly associated with rate of pathologic upgrading of tumors (p = 0.01 and p = 0.02), respectively. After controlling for known preoperative risk factors, body mass index was independently associated with ≥2 adverse pathologic features (p = 0.002), an indicator for adjuvant RT as well as FFbF (p = 0.001).

conclusionsBody mass index of ≥30 kg/m(2) is independently associated with adverse pathologic features, which is an indicator for additional RT, particularly in patients with low-intermediate risk disease. Future studies may determine if this select group of patients may be best treated with definitive RT to reduce toxicity from additional RT following radical prostatectomy. We propose including body mass index in clinical decision-making for appropriate treatment recommendation for patients with low-intermediate risk PCa.

Indexed as

Body Mass IndexAgedHumansKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedMultivariate AnalysisNeoplasm GradingObesityOutcome Assessment, Health CarePrognosisProportional Hazards ModelsProspective StudiesProstatectomyProstatic NeoplasmsBiochemical failureBody mass indexProstate cancer treatmentTumor pathology

Identifiers

PMID27473687
PMCPMC4966583

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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.