Evidence map›Paper›PMID 30413401›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Optimizing Time to Treatment to Achieve Durable Biochemical Disease Control after Surgery in Prostate Cancer: A Multi-Institutional Cohort Study.

Shivanshu Awasthi, Travis Gerke, Jong Y Park, Francis A Asamoah, Vonetta L Williams, Angelina K Fink, Rajesh Balkrishnan, David I Lee, S Bruce Malkowicz, Priti Lal and 4 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

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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

14 authors at 4 institutions in 1 country.

Shivanshu AwasthiDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Travis GerkeDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Jong Y ParkDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Francis A AsamoahDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Vonetta L WilliamsCollaborative Data Services Core, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Angelina K FinkDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Rajesh BalkrishnanUniversity of Virginia, School of Medicine, Charlottesville, Virginia.
David I LeePerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
S Bruce MalkowiczPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Priti LalPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Jasreman DhillonDepartment of Pathologic Anatomic, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Julio M Pow-SangDepartment of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Timothy R RebbeckCancer Epidemiology and Cancer Risk and Disparity, Dana-Farber Cancer Institute, Boston, Massachusetts.
Kosj YamoahDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida. Kosj.Yamoah@moffitt.org.ORCID 0000-0001-9055-3538
Moffitt Cancer Center · USUniversity of Pennsylvania · USDana-Farber Cancer Institute · USUniversity of Virginia · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
Precision Interception of Aggressive Prostate Cancer in African American MenP20CA233255 · NCI · DANA-FARBER CANCER INST · PI REBBECK, TIMOTHY R · 2018 to 2020
$3.2M
NCI NIH HHS P20 CA233255NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

backgroundThe impact of treatment delays on prostate cancer-specific outcomes remains ill-defined. This study investigates the effect of time to treatment on biochemical disease control after prostatectomy.

methodsThis retrospective study includes 1,807 patients who received a prostatectomy as a primary treatment at two large tertiary referral centers from 1987 to 2015. Multivariate cox model with restricted cubic spline was used to identify optimal time to receive treatment and estimate the risk of biochemical recurrence.

resultsMedian follow-up time of the study was 46 (interquartile range, 18-86) months. Time to treatment was subcategorized based on multivariate cubic spline cox model. In multivariate spline model, adjusted for all the pertinent pretreatment variables, inflection point in the risk of biochemical recurrence was observed around 3 months, which further increased after 6 months. Based on spline model, time to treatment was then divided into 0 to 3 months (61.5%), >3 to 6 months (31.1%), and 6 months (7.4%). In the adjusted cox model, initial delays up to 6 months did not adversely affect the outcome; however, time to treatment >6 months had significantly higher risk of biochemical recurrence (HR, 1.84; 95% confidence interval, 1.30-2.60;

conclusionsThe initial delays up to 6 months in prostate cancer primary treatment may be sustainable without adversely affecting the outcome. However, significant delays beyond 6 months can unfavorably affect biochemical disease control. IMPACT: Time to treatment can aid clinicians in the decision-making of prostate cancer treatment recommendation and educate patients against unintentional treatment delays.

Indexed as

AgedFollow-Up StudiesHumansMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisProstatectomyProstatic NeoplasmsRetrospective StudiesSurvival RateTime-to-Treatment

Identifiers

PMID30413401
PMCPMC8100999
OpenAlexW2900298873

What OpenQuestion holds

Textmetadata
LicenceTDM
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.