ArticleReviews in urology2020
A Trend Toward Aggressive Prostate Cancer.
Article in Reviews in urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 7 citations in OpenAlex.
- Increasing aggressive prostate cancer.The Canadian journal of urology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To compare prostate biopsy (Pbx) characteristics before and after the 2012 United States Preventive Services Task Force (USPSTF) prostate cancer (PCa) screening guidelines, we completed a retrospective comparative analysis of 1703 sequential patients that had a Pbx in 2010 to 2012 (3 years) with 383 patients biopsied in 2018 and 310 patients biopsied in 2019. Data was collected on patient age, race, serum prostate specific antigen (PSA) level, digital rectal examination (DRE) results, total number of biopsies performed, and Gleason sum score (GSS). Data were analyzed to determine whether the 2012 USPSTF screening recommendations against PCa screening may have affected PCa characteristics. Three study groups were defined as Group A, Group B, and Group C. Group A represents Pbx prior to the 2012 USPSTF screening guidelines (2010-2012), Group B represents Pbx in 2018, and Group C represents Pbx in 2019. The patient population consisted of 73% Black men, 16% White men, and 11% men of other races. The number of patients that had a biopsy in Groups A through C, respectively, were 567 patients/year, 383 patients/year, and 310 patients/year. The annual positive Pbx rate for Group A through C was 134/year, 175/year, and 201/year, respectively. High-grade PCa (GSS 7-10) in Groups A through C was 51.5%, 60.5%, and 60.0%. The proportion of patients with a serum PSA level 10 ng/mL or greater in Groups A through C was 25.4%, 29.3%, and 33%. For patients age 70 to 80 years, there was an increasing trend for serum PSA levels 10 ng/mL and higher: 31%, 38%, and 39%, respectively. In this age group, high-grade tumors (GSS 7-10) occurred in 61%, 65%, and 68%, respectively. In 2019, Grade Group 3, 4, and 5 was present in 37.7% of 70- to 80-year-old men and 34.6% of Black men. More than 50% positive biopsy cores were present in 46.3% of 70- to 80-year old men and 36.6% of Black men. Our data through 2019 continued to show that after the 2012 USPSTF recommendations against PCa screening, PCa screening has decreased. We found decreased Pbx, increased PCa diagnosis, and increased high-grade PCa (GSS 7-10). As our patient population consisted of 73% Black patients and 33% of men age 70 to 80 years, our results support aggressive PCa screening for high-risk patients, which include Black men, men with a family history of PCa, and healthy men age 70 to 80 years.
Indexed as
Identifiers
33239969PMC7672504W3109075369What OpenQuestion holds
Registered trials
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.