Evidence map›Paper›PMID 24226306›Full record

ArticleMedical care2013

The impact of technology diffusion on treatment for prostate cancer.

Florian R Schroeck, Samuel R Kaufman, Bruce L Jacobs, Yun Zhang, Alon Z Weizer, Jeffrey S Montgomery, Scott M Gilbert, Seth A Strope, Brent K Hollenbeck

Abstract read
In one paragraph

Article in Medical care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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.

Florian R Schroeck*Department of Urology, Division of Health Services Research †Department of Urology, Division of Urologic Oncology, University of Michigan, Ann Arbor, MI ‡Departments of Urology and Epidemiology and Health Policy Research, University of Florida College of Medicine, Gainesville, FL §Division of Urologic Surgery, Washington University School of Medicine, St. Louis, MO.
Samuel R Kaufman
Bruce L Jacobs
Yun Zhang
Alon Z Weizer
Jeffrey S Montgomery
Scott M Gilbert
Seth A Strope
Brent K Hollenbeck

Funding

Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University Institute of Clinical and Translational SciencesKL2TR000450 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$8.8M
Uro Translational Research and Clinical Research Training (UroTRACT)T32DK007782 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEI, JOHN T · 2000 to 2019
$2.9M
NCATS NIH HHS KL2 TR000450NCATS NIH HHS UL1 TR000448NIDDK NIH HHS 5 T32 DK007782-12NIDDK NIH HHS T32 DK007782
6 · The paper itself

Abstract

backgroundThe use of local therapy for prostate cancer may increase because of the perceived advantages of new technologies such as intensity-modulated radiotherapy (IMRT) and robotic prostatectomy.

objectiveTo examine the association of market-level technological capacity with receipt of local therapy.

designRetrospective cohort. SUBJECTS: Patients with localized prostate cancer who were diagnosed between 2003 and 2007 (n=59,043) from the Surveillance Epidemiology and End Results-Medicare database. MEASURES: We measured the capacity for delivering treatment with new technology as the number of providers offering robotic prostatectomy or IMRT per population in a market (hospital referral region). The association of this measure with receipt of prostatectomy, radiotherapy, or observation was examined with multinomial logistic regression.

resultsFor each 1000 patients diagnosed with prostate cancer, 174 underwent prostatectomy, 490 radiotherapy, and 336 were observed. Markets with high robotic prostatectomy capacity had higher use of prostatectomy (146 vs. 118 per 1000 men, P=0.008) but a trend toward decreased use of radiotherapy (574 vs. 601 per 1000 men, P=0.068), resulting in a stable rate of local therapy. High versus low IMRT capacity did not significantly impact the use of prostatectomy (129 vs. 129 per 1000 men, P=0.947) and radiotherapy (594 vs. 585 per 1000 men, P=0.579).

conclusionsAlthough there was a small shift from radiotherapy to prostatectomy in markets with high robotic prostatectomy capacity, increased capacity for both robotic prostatectomy and IMRT did not change the overall rate of local therapy. Our findings temper concerns that the new technology spurs additional therapy of prostate cancer.

Indexed as

Diffusion of InnovationAgedAged, 80 and overAge FactorsHealth Services ResearchHumansMaleMedicareProstatectomyProstatic NeoplasmsRadiotherapy, Intensity-ModulatedRetrospective StudiesRoboticsSEER ProgramUnited StatesWatchful Waiting

Identifiers

PMID24226306
PMCPMC3916901

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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.