Evidence map›Paper›PMID 28740904›Full record

ArticleAdvances in radiation oncology

Disparities in staging prostate magnetic resonance imaging utilization for nonmetastatic prostate cancer patients undergoing definitive radiation therapy.

Ayobami Ajayi, Wei-Ting Hwang, Neha Vapiwala, Mark Rosen, Christina H Chapman, Stefan Both, Meera Shah, Xingmei Wang, Atu Agawu, Peter Gabriel and 3 more

Open access · goldAbstract read
In one paragraph

Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  3. Review
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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

13 authors at 5 institutions in 1 country.

Ayobami AjayiDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Wei-Ting HwangDepartment of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Neha VapiwalaDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Mark RosenDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Christina H ChapmanDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Stefan BothDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Meera ShahEmory University School of Medicine, Emory University, Atlanta, Georgia.
Xingmei WangDepartment of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Atu AgawuDepartment of Pediatrics, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania.
Peter GabrielDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
John ChristodouleasDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Zelig TochnerDepartment of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Curtiland DevilleDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland.
University of Pennsylvania · USEmory University · USJohns Hopkins University · USMemorial Sloan Kettering Cancer Center · USUniversity of Michigan–Ann Arbor · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
NCI NIH HHS P30 CA016520
6 · The paper itself

Abstract

purposeThere is growing evidence supporting incorporating multiparametric (mp) magnetic resonance imaging (MRI) scans into risk stratification, active surveillance, and treatment paradigms for prostate cancer. The purpose of our study was to determine whether demographic disparities exist in staging MRI utilization for prostate cancer patients. METHODS AND MATERIALS: An institutional database of 705 nonmetastatic prostate cancer patients treated with radiation therapy from 2005 through 2013 was used to identify patients undergoing versus not undergoing pretreatment diagnostic prostate mpMRI. Uni- and multivariable logistic regression evaluated the relationship of clinical and demographic characteristics with MRI utilization.

resultsAll demographic variables assessed, except the other race category, were significantly associated with MRI utilization (all

conclusionsIn this urban, academic center cohort, older patients across all risk groups and black or nonprivate insurance patients in the low risk group were less likely to undergo staging prostate MRI scans. Further research should investigate these differences to ensure equitable utilization across all demographic groups considering the burden of prostate cancer disparities.

Identifiers

PMID28740904
PMCPMC5514159
OpenAlexW2487156511

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.