Evidence map›Paper›PMID 29992380›Full record

ArticleWorld journal of urology2019

Inverse stage migration patterns in North American patients undergoing local prostate cancer treatment: a contemporary population-based update in light of the 2012 USPSTF recommendations.

Sami-Ramzi Leyh-Bannurah, Pierre I Karakiewicz, Raisa S Pompe, Felix Preisser, Emanuele Zaffuto, Paolo Dell'Oglio, Alberto Briganti, Omar Nafez, Margit Fisch, Thomas Steuber and 2 more

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In one paragraph

Article in World journal of urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

  1. Trial
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  4. Prognostic value of [Annals of medicine · 2024
    Article
  5. Article
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  7. Article
  8. Article
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  10. Biomarkers of Aggressive Prostate Cancer at Diagnosis.International journal of molecular sciences · 2023
    Review
  11. Article
  12. Article
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  14. Article
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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

12 authors.

Sami-Ramzi Leyh-BannurahCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Canada. S.Bannurah@googlemail.com.
Pierre I KarakiewiczCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Canada.
Raisa S PompeCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Canada.
Felix PreisserCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Canada.
Emanuele ZaffutoCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Canada.
Paolo Dell'OglioCancer Prognostics and Health Outcomes Unit, University of Montreal Health Center, Montreal, Canada.
Alberto BrigantiDepartment of Urology and Division of Experimental Oncology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Omar NafezDepartment of Urology, Elbe Klinikum Stade, Stade, Germany.
Margit FischDepartment of Urology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
Thomas SteuberMartini-Klinik, Prostate Cancer Center Hamburg-Eppendorf, Hamburg, Germany.
Markus GraefenMartini-Klinik, Prostate Cancer Center Hamburg-Eppendorf, Hamburg, Germany.
Lars BudäusMartini-Klinik, Prostate Cancer Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRecent studies demonstrated ongoing inverse stage migration in prostate cancer (PCa) patients towards more advanced and unfavorable tumors. The USPSTF grade D recommendation may impact this trend in North American patients. We assessed contemporary stage migration and treatment trends in a large North American cohort diagnosed with PCa 2009-2014.

methodsTime-trend analyses were performed in patients within the Surveillance, Epidemiology, and End Results database, with complete data of clinical tumor stage, biopsy Gleason score, and validated PSA values, resulting in 211,645 assessable patients. Patients were stratified according to their different treatment methods [radical prostatectomy (RP), radiotherapy (RT), and no local treatment (NLT)] and according to clinical and pathological risk stratification (D'Amico and CAPRA-S score).

resultsOver time, proportions of D'Amico low-risk (LR) decreased, with an increase in intermediate-to-high-risk (IR/HR) patients. These trends were more distinct in men ≥ 70 years. NLT proportions increased, most notably in D'Amico LR and/or older patients. Conversely, RP proportions remained stable in younger HR and increased in older HR patients. Similar patterns were demonstrated in the RP-treated subgroup: D'Amico HR, pT3, and/or lymph-node invasion or CAPRA-S HR proportions increased from 23.5 to 30.8, 24.3 to 32.9, and 10.7 to 16.3% (each p ≤ 0.015).

conclusionsInverse stage migration with increase of unfavorable PCa continues in most contemporary North American patients. However, a paradigm shift to treat LR patients with less invasive methods (NLT) was demonstrated. Contrary, HR patients increasingly undergo LT. Future studies with long-term follow-up might answer if inverse stage migration vs. treatment trends translate into different PCa metastases/mortality rates vs. proposed NLT benefits, particularly related to USPSTF-recommended reduced PSA screening.

Indexed as

AdenocarcinomaAgedEarly Detection of CancerHumansMaleNeoplasm GradingNeoplasm StagingNorth AmericaPractice Guidelines as TopicProstatectomyProstate-Specific AntigenProstatic NeoplasmsRadiotherapySEER ProgramUnited StatesWatchful WaitingProstate-Specific AntigenActive surveillanceRadical prostatectomySurveillance, Epidemiology, and end results (SEER)University of California San Francisco (UCSF) cancer of the prostate risk assessment-surgical score (CAPRA-S)

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Registered trials

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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.