Evidence map›Paper›PMID 29266181›Full record

ArticleCancer2018

Low testosterone at first prostate-specific antigen failure and assessment of risk of death in men with unfavorable-risk prostate cancer treated on prospective clinical trials.

Katelyn M Atkins, Ming-Hui Chen, Jing Wu, Andrew A Renshaw, Marian Loffredo, Philip W Kantoff, Eric J Small, Anthony V D'Amico

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
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 at 6 institutions in 1 country.

Katelyn M AtkinsHarvard Radiation Oncology Program, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts.ORCID 0000-0002-3165-4803
Ming-Hui ChenDepartment of Statistics, University of Connecticut, Storrs, Connecticut.
Jing WuDepartment of Computer Science and Statistics, University of Rhode Island, Kingston, Rhode Island.
Andrew A RenshawDepartment of Pathology, Baptist Hospital and Miami Cancer Institute, Miami, Florida.ORCID 0000-0002-1318-4238
Marian LoffredoDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts.
Philip W KantoffDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-7275-0597
Eric J SmallDepartment of Medicine, University of California at San Francisco, San Francisco, California.
Anthony V D'AmicoDepartment of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts.
Brigham and Women's Hospital · USBaptist Hospital of Miami · USMemorial Sloan Kettering Cancer Center · USUniversity of California, San Francisco · USUniversity of Connecticut · USUniversity of Rhode Island · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundLow testosterone at the time of diagnosis of prostate cancer has been associated with a worse prognosis. Whether this is true and how to define the best treatment approach at the time of first prostate-specific antigen (PSA) failure to the authors' knowledge has not been elucidated to date and was studied herein.

methodsBetween 1995 and 2001, a total of 58 men with unfavorable-risk PC who were treated on clinical trials with radiotherapy and androgen deprivation therapy (ADT) had available testosterone levels at the time of PSA failure. Cox and Fine and Gray regressions were performed to ascertain whether low versus normal testosterone was associated with the risk of PC-specific mortality, other-cause mortality, and all-cause mortality adjusting for age, salvage ADT, and known PC prognostic factors.

resultsAfter a median follow-up of 6.68 years after PSA failure, 31 men (53.4%) had died; 10 of PC (32.3%), of which 8 of 11 (72.7%) versus 2 of 47 (4.3%) deaths occurred in men with low versus normal testosterone at the time of PSA failure, respectively. A significant increase in the risk of all-cause mortality (adjusted hazard ratio [AHR], 2.54; 95% confidence interval [95% CI], 1.04-6.21 [P = .04]) and PC-specific mortality (AHR, 13.71; 95% CI, 2.4-78.16 [P = .003]), with a reciprocal trend toward a decreased risk of other-cause mortality (AHR, 0.18; 95% CI, 0.02-1.55 [P = .12]) was observed in men with low versus normal testosterone.

conclusionsLow, but not necessarily castrate, testosterone levels at the time of PSA failure confer a very poor prognosis. These observations provide evidence to support testosterone testing at the time of PSA failure. Given prolonged survival when abiraterone or docetaxel is added to ADT in men with castrate-sensitive metastatic PC and possibly localized high-risk PC provides a rationale supporting their use with ADT in men with low testosterone in the setting of a phase 2 trial. Cancer 2018;124:1383-90. © 2017 American Cancer Society.

Indexed as

AgedAndrogen AntagonistsAndrostenesAntineoplastic AgentsBiomarkers, TumorDocetaxelDrug Therapy, CombinationFollow-Up StudiesHumansMalePrognosisProspective StudiesProstate-Specific AntigenProstatic NeoplasmsRisk AssessmentSurvival RateabirateroneAndrogen AntagonistsAndrostenesAntineoplastic AgentsBiomarkers, TumorDocetaxelProstate-Specific AntigenTestosteronebiochemical failuredeathprostate cancerprostate-specific antigen (PSA) failuretestosterone

Identifiers

PMID29266181
PMCPMC6034656
OpenAlexW2777544969

What OpenQuestion holds

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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.