Evidence map›Paper›PMID 36171391›Full record

ArticleScientific reports2022

Time to castration resistance is a novel prognostic factor of cancer-specific survival in patients with nonmetastatic castration-resistant prostate cancer.

Yuji Hakozaki, Yuta Yamada, Taketo Kawai, Masaki Nakamura, Yuta Takeshima, Takuya Iwaki, Taro Teshima, Yoshitaka Kinoshita, Yoichi Fujii, Yoshiyuki Akiyama and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Microorganisms · 2024
    Article
  5. Review
  6. Article
  7. Journal of medicine and life · 2023
    Article
  8. 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

16 authors at 3 institutions in 1 country.

Yuji HakozakiDepartment of Urology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 163-0033, Japan.
Yuta YamadaDepartment of Urology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 163-0033, Japan. yyamada2029@gmail.com.
Taketo KawaiDepartment of Urology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 163-0033, Japan.
Masaki NakamuraDepartment of Urology, NTT Medical Center, Tokyo, Japan.
Yuta TakeshimaDepartment of Urology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Takuya IwakiDepartment of Urology, Chiba Tokushukai Hospital, Chiba, Japan.
Taro TeshimaDepartment of Urology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 163-0033, Japan.
Yoshitaka KinoshitaDepartment of Urology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 163-0033, Japan.
Yoichi FujiiDepartment of Urology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 163-0033, Japan.
Yoshiyuki AkiyamaDepartment of Urology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 163-0033, Japan.
Yusuke SatoDepartment of Urology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 163-0033, Japan.
Daisuke YamadaDepartment of Urology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 163-0033, Japan.
Motofumi SuzukiDepartment of Urology, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan.
Mayu Kashiwagi-HakozakiDepartment of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tetsuo UshikuDepartment of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Haruki KumeDepartment of Urology, The University of Tokyo Graduate School of Medicine, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 163-0033, Japan.
The University of Tokyo · JPNTT Medical Center · JPTokyo Metropolitan Bokutoh Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to identify prognostic factors of cancer-specific survival (CSS) in non-metastatic castration-resistant prostate cancer (M0CRPC) patients. The final analysis of this retrospective cohort included 82 patients who were diagnosed as M0CRPC between 1998 and 2018 at the University of Tokyo Hospital. CRPC was defined as prostate-specific antigen (PSA) progression (increased PSA ≥ 25% and ≥ 2 ng/mL above the nadir or detection of a metastatic lesion). The median value of age and PSA at the time of CRPC were 76 (range 55-94) years and 2.84 (range 2.04-22.5) ng/mL, respectively. The median follow-up time from CRPC diagnosis was 38 (range 3-188) months. The prognostic factors of CSS were 'PSA doubling time (PSADT) ≤ 3 months', 'time to CRPC diagnosis from the start of androgen deprivation therapy (TTCRPC) ≤ 12 months', of which TTCRPC was a novel risk factor of CSS. In the multivariate analysis, 'PSADT ≤ 3 months' and TTCRPC ≤ 12 months' remained as statistically significant predictors of CSS. Novel risk stratification was developed based on the number of these risk factors. The high-risk group showed a hazard ratio of 4.416 (95% confidence interval 1.701-11.47, C-index = 0.727).

Indexed as

Prostatic NeoplasmsProstatic Neoplasms, Castration-ResistantAgedAged, 80 and overAndrogen AntagonistsAndrogensCastrationHumansMaleMiddle AgedPrognosisProstate-Specific AntigenRetrospective StudiesAndrogen AntagonistsAndrogensProstate-Specific Antigen

Identifiers

PMID36171391
PMCPMC9519913
OpenAlexW4297494422

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.