Evidence map›Paper›PMID 39028395›Full record

ArticleInternational journal of clinical oncology2024

A novel prognostic model of de novo metastatic hormone-sensitive prostate cancer to optimize treatment intensity.

Hiroshi Fujiwara, Masashi Kubota, Yu Hidaka, Kaoru Ito, Takashi Kawahara, Ryoma Kurahashi, Yuto Hattori, Yusuke Shiraishi, Yusuke Hama, Noriyuki Makita and 17 more

Abstract read
In one paragraph

Article in International journal of clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Prognostic Impact of Time to Castration Resistance on Overall Survival in Patients With Metastatic Castration-Sensitive Prostate Cancer.International journal of urology : official journal of the Japanese Urological Association · 2025
    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

27 authors.

Hiroshi FujiwaraShizuoka City Shizuoka Hospital, Shizuoka, Japan.
Masashi KubotaDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yu HidakaDepartment of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Kaoru ItoDepartment of Urology, Miyazaki University Graduate School of Medicine, Miyazaki, Japan.
Takashi KawaharaDepartment of Urology, Tsukuba University Graduate School of Medicine, Tsukuba, Japan.
Ryoma KurahashiDepartment of Urology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Yuto HattoriDepartment of Urology, Kobe City Medical Center General Hospital, Kobe, Japan.
Yusuke ShiraishiDepartment of Urology, Shizuoka General Hospital, Shizuoka, Japan.
Yusuke HamaDepartment of Urology, Kurashiki Central Hospital, Kurashiki, Japan.
Noriyuki MakitaDepartment of Urology, Kyoto City Hospital, Kyoto, Japan.
Yu TashiroDepartment of Urology, Red Cross Otsu Hospital, Otsu, Japan.
Shotaro HatanoDepartment of Urology, Shimada General Medical Center, Shimada, Japan.
Ryosuke IkeuchiDepartment of Urology, Medical Research Institute Kitano Hospital, Osaka, Japan.
Masakazu NakashimaDepartment of Urology, Japanese Red Cross Wakayama Medical Center, Wakayama, Japan.
Noriaki UtsunomiyaDepartment of Urology, Kobe City Nishi-Kobe Medical Center, Kobe, Japan.
Yasushi TakashimaDepartment of Urology, Tenri Hospital, Tenri, Japan.
Shinya SomiyaShizuoka City Shizuoka Hospital, Shizuoka, Japan.
Kanji NagahamaDepartment of Urology, Rakuwakai Otowa Hospital, Kyoto, Japan.
Takeru FujimotoDepartment of Urology, National Hospital Organization Himeji Medical Center, Himeji, Japan.
Kosuke ShimizuDepartment of Urology, Hamamatsu Rosai Hospital, Hamamatsu, Japan.
Kazuto ImaiDepartment of Urology, Kansai Electric Power Hospital, Osaka, Japan.
Takehiro TakahashiDepartment of Urology, Osaka Red Cross Hospital, Osaka, Japan.
Takayuki SumiyoshiDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takayuki GotoDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Satoshi MoritaDepartment of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takashi KobayashiDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Shusuke AkamatsuDepartment of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan. akamats@med.nagoya-u.ac.jp.ORCID http://orcid.org/0000-0002-1394-7506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe treatment and prognosis of de novo metastatic hormone-sensitive prostate cancer (mHSPC) vary. We established and validated a novel prognostic model for predicting cancer-specific survival (CSS) in patients with mHSPC using retrospective data from a contemporary cohort.

methods1092 Japanese patients diagnosed with de novo mHSPC between 2014 and 2020 were registered. The patients treated with androgen deprivation therapy and first-generation anti-androgens (ADT/CAB) were assigned to the Discovery (N = 467) or Validation (N = 328) cohorts. Those treated with ADT and androgen-receptor signaling inhibitors (ARSIs) were assigned to the ARSI cohort (N = 81).

resultsUsing the Discovery cohort, independent prognostic factors of CSS, the extent of disease score ≥ 2 or the presence of liver metastasis; lactate dehydrogenase levels > 250U/L; a primary Gleason pattern of 5, and serum albumin levels ≤ 3.7 g/dl, were identified. The prognostic model incorporating these factors showed high predictability and reproducibility in the Validation cohort. The 5-year CSS of the low-risk group was 86% and that of the high-risk group was 22%. Approximately 26.4%, 62.7%, and 10.9% of the patients in the Validation cohort defined as high-risk by the LATITUDE criteria were further grouped into high-, intermediate-, and low-risk groups by the new model with significant differences in CSS. In the ARSIs cohort, high-risk group had a significantly shorter time to castration resistance than the intermediate-risk group.

conclusionsThe novel model based on prognostic factors can predict patient outcomes with high accuracy and reproducibility. The model may be used to optimize the treatment intensity of de novo mHSPC.

Indexed as

Androgen AntagonistsProstatic NeoplasmsAgedAged, 80 and overAndrogen Receptor AntagonistsHumansJapanMaleMiddle AgedPrognosisRetrospective StudiesAndrogen AntagonistsAndrogen Receptor AntagonistsCancer-specific survivalmHSPCPrognostic modelProstate cancer

Identifiers

PMID39028395
PMCPMC11420339

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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.