Evidence map›Paper›PMID 28652776›Full record

ArticleOncoTargets and therapy2017

Prognosis of prostate cancer with initial prostate-specific antigen >1,000 ng/mL at diagnosis.

Hung-Cheng Kan, Chen-Pang Hou, Yu-Hsiang Lin, Ke-Hung Tsui, Phei-Lang Chang, Chien-Lun Chen

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 42% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

6 authors at 1 institution in 2 countries.

Hung-Cheng KanDepartment of Urology, Chang Gung Memorial Hospital.
Chen-Pang HouDepartment of Urology, Chang Gung Memorial Hospital.
Yu-Hsiang LinDepartment of Urology, Chang Gung Memorial Hospital.
Ke-Hung TsuiDepartment of Urology, Chang Gung Memorial Hospital.
Phei-Lang ChangDepartment of Urology, Chang Gung Memorial Hospital.
Chien-Lun ChenDepartment of Urology, Chang Gung Memorial Hospital.
Memorial Hospital of South Bend · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeProstate cancer patients with surprisingly high prostate-specific antigen (PSA) are encountered clinically. However, descriptions of this group of patients are extremely rare in the published literature. This study reports treatment outcome and long-term prognosis for this group of patients. PATIENTS AND

methodsBetween January 2007 and December 2012, 2,064 patients with PCa diagnosed at a tertiary medical center were retrospectively reviewed. A total of 90 PCa cases were identified with initial PSA (iPSA) >1,000 ng/mL at diagnosis. A retrospective study was conducted in this cohort, with comparison among stratified patient age groups, PSA, treatment options, and overall survival.

resultsThe mean PSA at PCa diagnosis in this cohort was 3,323 ng/mL (1,003-23,126, median: 2,050 ng/mL). Most patients were in the age group 65-79 years (55/90, 61%). Males older than 80 years had a poor prognosis (

conclusionAge ≥80 years indicated poor overall survival in PCa patients with iPSA >1,000 ng/mL. Reaching a true nadir of PSA following primary androgen deprivation therapy could be a predictor of longer survival. Bilateral orchiectomy is recommended for this group of patients.

Indexed as

androgen deprivationnadirorchiectomyprostate cancerPSA

Identifiers

PMID28652776
PMCPMC5476709
OpenAlexW2625813020

What OpenQuestion holds

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LicenceCC BY-NC
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.