Evidence map›Paper›PMID 26860993›Full record

ArticleBMC medicine2016

Successful external validation of a model to predict other cause mortality in localized prostate cancer.

Matthew Kent, David F Penson, Peter C Albertsen, Michael Goodman, Ann S Hamilton, Janet L Stanford, Antoinette M Stroup, Behfar Ehdaie, Peter T Scardino, Andrew J Vickers

Abstract readValidation Study
In one paragraph

Article in BMC medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Practical Assessment and Management of Vulnerabilities in Older Patients Receiving Chemotherapy: ASCO Guideline for Geriatric Oncology.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018
    Guideline
  2. Observational
  3. Article
  4. Article
  5. Estimating patient health in prostate cancer treatment counseling.Prostate cancer and prostatic diseases · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Prostate cancer risk group is associated with other-cause mortality in men with localized prostate cancer.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
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

10 authors.

Matthew KentDepartment of Epidemiology and Biostatistics, Health Outcomes Research Group, Memorial Sloan-Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA.
David F PensonDepartment of Urologic Surgery, Vanderbilt University, Nashville, TN, USA.
Peter C AlbertsenDivision of Urology, University of Connecticut Health Center, Farmington, CT, USA.
Michael GoodmanDepartment of Epidemiology, Emory University, Atlanta, GA, USA.
Ann S HamiltonDepartment of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Janet L StanfordDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Antoinette M StroupNew Jersey State Cancer Registry, Trenton, NJ, USA.
Behfar EhdaieDepartment of Epidemiology and Biostatistics, Health Outcomes Research Group, Memorial Sloan-Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA.
Peter T ScardinoDepartment of Epidemiology and Biostatistics, Health Outcomes Research Group, Memorial Sloan-Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA.
Andrew J VickersDepartment of Epidemiology and Biostatistics, Health Outcomes Research Group, Memorial Sloan-Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY, 10017, USA. vickersa@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Yu Chen, MICHAEL J MORRIS · 2001 to 2026
$63.0M
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01PC067009 · PC · FRED HUTCHINSON CANCER RESEARCH CENTER · PI THOMAS, DAVID B · 1996 to 2000
$3.0M
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01PC067007 · PC · UNIVERSITY OF NEW MEXICO · PI KEY, CHARLES R · 1996 to 2000
$2.4M
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01PC067010 · PC · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROSS, RONALD K · 1996 to 2000
$2.4M
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01PC067005 · PC · CONNECTICUT STATE DEPT OF PUBLIC HEALTH · PI POLEDNAK, ANTHONY · 1996 to 2000
$1.9M
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01PC067006 · PC · EMORY UNIVERSITY · PI YOUNG, JOHN L · 1996 to 2000
$1.7M
Race, Comorbidity & Long Term Prostate Cancer OutcomesR01CA114524 · NCI · VANDERBILT UNIVERSITY · PI PENSON, DAVID F. · 2007 to 2009
$1.7M
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01PC067000 · PC · UNIVERSITY OF UTAH · PI WIGGINS, CHARLES L · 1996 to 2000
$1.3M
NCI NIH HHS N01 PC067006NCI NIH HHS N01 PC067009NCI NIH HHS N01 PC067010NCI NIH HHS N01-PC-67000NCI NIH HHS N01-PC-67005NCI NIH HHS N01-PC-67006NCI NIH HHS N01-PC-67007NCI NIH HHS N01-PC-67009NCI NIH HHS P30 CA008748NCI NIH HHS P30-CA008748NCI NIH HHS P50 CA092629NCI NIH HHS P50-CA92629NCI NIH HHS R01 CA114524NCI NIH HHS R01-CA114524
6 · The paper itself

Abstract

backgroundAlthough life expectancy estimation is vital to decision making for localized prostate cancer, there are few, if any, valid and usable tools. Our goal was to create and validate a prediction model for other cause mortality in localized prostate cancer patients that could aid clinician's initial treatment decisions at the point of care.

methodsWe combined an adjusted Social Security Administration table with a subset of comorbidities from a UK actuarial life expectancy model. Life tables were adjusted on the basis of survival data from a cohort of almost 10,000 radical prostatectomy patients treated at four major US academic institutions. Comorbidity-specific odds ratios were calculated and incorporated with baseline risk of mortality. We externally validated the model on 2898 patients from the Prostate Cancer Outcomes Study, which included men diagnosed with prostate cancer in six SEER cancer registries. These men had sufficient follow-up for our endpoints of 10- and 15-year mortality and also had self-reported comorbidity data.

resultsLife expectancy for prostate cancer patients were close to that of a typical US man who was 3 years younger. On external validation, 10- and 15-year concordance indexes were 0.724 and 0.726, respectively. Our model exhibited excellent calibration. Taking into account differences between how comorbidities are used in the model versus how they were recorded in the validation cohort, calibration would improve for most patients, but there would be overestimation of the risk of death in the oldest and sickest patients.

conclusionsWe successfully created and externally validated a new life expectancy prediction model that, while imperfect, has clear advantages to any alternative. We urge consideration of its use in counseling patients with localized prostate cancer.

Indexed as

Decision Support TechniquesModels, StatisticalAgedCause of DeathComorbidityHumansLife ExpectancyMaleMiddle AgedPrognosisProstatectomyProstatic NeoplasmsRisk FactorsUnited States

Identifiers

PMID26860993
PMCPMC4748497

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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.