Evidence map›Paper›PMID 22542320›Full record

ReviewSeminars in oncology nursing2012

Genetic biomarkers of cancer risk.

Kathleen A Calzone

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in oncology nursing, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Association between TCF7L2 polymorphisms and breast cancer susceptibility: a meta-analysis.International journal of clinical and experimental medicine · 2015
    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

1 author at 1 institution in 1 country.

Kathleen A CalzoneResearch Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. calzonek@mail.nih.gov
National Institutes of Health · US

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

objectivesTo provide a review of genetic biomarkers of cancer risk and associated clinical implications. DATA SOURCES: Published literature, evidence-based guidelines.

conclusionIdentification of the genetic variation associated with cancer risk enables the health care provider to stratify an individual's risk and personalize their cancer risk management. This may lead to a decreased cancer incidence in high-risk populations, but at a minimum, will provide the opportunity for early diagnosis that may decrease cancer morbidity and mortality. IMPLICATIONS FOR NURSING PRACTICE: Nursing implications include assessment for cancer risk, initiate referrals indicated, and delivering ongoing education and support for cancer risk management plans.

Indexed as

Biomarkers, TumorEarly Detection of CancerGenetic TestingGenomicsHumansIncidenceNeoplasmsPolymorphism, Single NucleotideRisk AssessmentUnited StatesBiomarkers, Tumor

Identifiers

PMID22542320
PMCPMC10433658
OpenAlexW1999213963

What OpenQuestion holds

Textmetadata
LicenceTDM
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.