Evidence map›Paper›PMID 28361034›Full record

ArticleFrontiers in oncology2017

Combinatorial Ranking of Gene Sets to Predict Disease Relapse: The Retinoic Acid Pathway in Early Prostate Cancer.

Hieu T Nim, Milena B Furtado, Mirana Ramialison, Sarah E Boyd

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors at 3 institutions in 2 countries.

Hieu T NimFaculty of Information Technology, Monash University, Melbourne, VIC, Australia; Australian Regenerative Medicine Institute, Monash University, Melbourne, VIC, Australia.
Milena B FurtadoThe Jackson Laboratory , Bar Harbor, ME , USA.
Mirana RamialisonAustralian Regenerative Medicine Institute, Monash University, Melbourne, VIC, Australia; EMBL - Australia Collaborating Group, Systems Biology Institute Australia, Monash University, Melbourne, VIC, Australia.
Sarah E BoydFaculty of Information Technology, Monash University , Melbourne, VIC , Australia.
Australian Regenerative Medicine Institute · AUJackson Laboratory · USMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantitative high-throughput data deposited in consortia such as International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA) present opportunities and challenges for computational analyses.

methodsWe present a computational strategy to systematically rank and investigate a large number (2

resultsAs a case study, we applied this pipeline to systematically analyze the role of

Indexed as

data miningprognosisprostate cancerretinoic acidsystems biologyThe Cancer Genome Atlas

Identifiers

PMID28361034
PMCPMC5350134
OpenAlexW2599378044

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.