Evidence map›Paper›PMID 34732855›Full record

ArticleProstate cancer and prostatic diseases2023

Estimating patient health in prostate cancer treatment counseling.

Gregory T Chesnut, Amy L Tin, Katherine A Fleshner, Nicole E Benfante, Andrew J Vickers, James A Eastham, Daniel D Sjoberg, Sigrid V Carlsson

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Prostate cancer and prostatic diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 3 countries.

Gregory T ChesnutCenter for Prostate Disease Research, Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Amy L TinDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0002-8005-0694
Katherine A FleshnerUniversity of Calgary, Calgary, AB, Canada.
Nicole E BenfanteDepartment of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Andrew J VickersDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
James A EasthamDepartment of Surgery (Urology Service), Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Daniel D SjobergDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Sigrid V CarlssonDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. carlssos@mskcc.org.ORCID 0000-0003-3553-5710
Memorial Sloan Kettering Cancer Center · USUniformed Services University of the Health Sciences · USUniversity of Calgary · CA

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Modeling to Improve Prostate Cancer Outcomes Across Diverse PopulationsU01CA199338 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DE KONING, HARRY J, ETZIONI, RUTH D · 2015 to 2019
$5.2M
Improving shared decision making in cancer screeningK22CA234400 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CARLSSON, SIGRID · 2019 to 2021
$621k
NCI NIH HHS K22 CA234400NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA199338
6 · The paper itself

Abstract

backgroundWe assessed the concordance among urologists' judgment of health quartiles for patients with localized prostate cancer, and compared the life expectancy (LE) and ensuing treatment recommendations when following National Comprehensive Cancer Network (NCCN) guidelines based on actuarial life tables versus the Kent model, a validated LE prediction model.

methodsNCCN suggests using actuarial life tables and relying on surgeon assessment of patient health to increase (for the best quartile) or decrease (for the worst quartile) LE by 50%. Eleven urologic surgeons allocated quartile of health and recommended treatments for ten patient vignettes. The 10-year survival probability was calculated using the Kent model and compared to the life-table estimate based on health quartile by surgeon consensus.

resultsSurgeon assessment agreed with the presumed true quartile of health based on a validated model in 41% of cases. For no case did three-quarters of surgeons assign health quartile correctly; in half of cases, <50% of surgeons assigned the correct quartile. The NCCN comorbidity-adjusted LE estimates underestimated risk of death in the best health quartile and overestimated risk of death in the worst health quartile, compared to the Kent model. Patients with LE > 10 years on NCCN estimation were recommended more frequently for surgery (81%) and those with ≤10 years estimated LE were more commonly recommended for radiation (57%) or observation (29%).

conclusionsA method based on physician-assessed health quartiles for LE estimation, as suggested by the NCCN guidelines, appears too crude to be used in the treatment counseling of men with localized prostate cancer, as compared to a validated prediction model, such as the Kent model.

Indexed as

Prostatic NeoplasmsComorbidityCounselingHumansLife ExpectancyMaleProstate

Identifiers

PMID34732855
PMCPMC9061891
OpenAlexW3208009499

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.