Evidence map›Paper›PMID 22157287›Full record

ReviewCancer journal (Sudbury, Mass.)

Prognostic determinants in prostate cancer.

Neil E Martin, Lorelei A Mucci, Massimo Loda, Ronald A Depinho

Abstract readReview
In one paragraph

Review in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
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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

4 authors.

Neil E MartinDepartment of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, MA, USA.
Lorelei A Mucci
Massimo Loda
Ronald A Depinho

Funding

TELOMERASE IN DEVELOPMENT, SENESCENCE AND NEOPLASIAR01CA084628 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DEPINHO, RONALD ANTHONY · 2000 to 2019
$10.5M
Molecular Link Between Metabolic Syndrome and Prostate CancerR01CA131945 · NCI · DANA-FARBER CANCER INST · PI LODA, MASSIMO · 2008 to 2018
$4.0M
Uses of GEM models for Translational Cancer ResearchU01CA141508 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHIN, LYNDA · 2009 to 2013
$3.9M
NCI NIH HHS R01 CA084628NCI NIH HHS R01 CA131945NCI NIH HHS U01 CA141508
6 · The paper itself

Abstract

Clinical outcomes in prostate cancer are heterogeneous, and given the high prevalence of the disease, there is a pressing need to identify clinically useful markers of prognosis. Many clinical, pathological, molecular, and genetic factors have been investigated in this capacity, although relatively few are routinely used. With a growing understanding of the molecular pathogenesis of prostate cancer, there is the potential that the next generation of makers will prove sufficiently robust to guide the optimal management of men with prostate cancer. Here, we review the various clinical and molecular prognostic determinants in prostate cancer.

Indexed as

AnimalsHumansImmunohistochemistryMaleNeoplasm StagingPrognosisProstate-Specific AntigenProstatic NeoplasmsProstate-Specific Antigen

Identifiers

PMID22157287
PMCPMC3240856

What OpenQuestion holds

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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.