Evidence map›Paper›PMID 29276372›Full record

ArticleCancer informatics2017

Nick Kinney, Robin T Varghese, Ramu Anandakrishnan, Harold R Skip Garner

Open access · goldAbstract read
In one paragraph

Article in Cancer informatics, 2017. 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
0.8field-weighted citation impact, top 28% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
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 2 institutions in 1 country.

Nick KinneyCenter for Bioinformatics and Genetics & Primary Care Research Network, Edward Via College of Osteopathic Medicine, Blacksburg, VA, USA.
Robin T VargheseCenter for Bioinformatics and Genetics & Primary Care Research Network, Edward Via College of Osteopathic Medicine, Blacksburg, VA, USA.
Ramu AnandakrishnanCenter for Bioinformatics and Genetics & Primary Care Research Network, Edward Via College of Osteopathic Medicine, Blacksburg, VA, USA.
Harold R Skip GarnerCenter for Bioinformatics and Genetics & Primary Care Research Network, Edward Via College of Osteopathic Medicine, Blacksburg, VA, USA.
Edward Via College of Osteopathic Medicine · USResearch Network (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African American woman are 43% more likely to die from breast cancer than white women and have increased the risk of tumor recurrence despite lower incidence. We investigate variations in microsatellite genomic regions-a type of repetitive DNA-and possible links to the breast cancer mortality gap. We screen 33 854 microsatellites in germline DNA of African American women with and without breast cancer: 4 are statistically significant. These are located in the 3' UTR (untranslated region) of gene

Indexed as

African AmericansbiomarkersMicrosatellites

Identifiers

PMID29276372
PMCPMC5734450
OpenAlexW2772297949

What OpenQuestion holds

Textmetadata
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.