Evidence map›Paper›PMID 28453507›Full record

ReviewRevista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion

Genetic Cancer Risk Assessment for Breast Cancer in Latin America.

Yanin Chavarri-Guerra, Kathleen Reilly Blazer, Jeffrey Nelson Weitzel

Abstract readReview
In one paragraph

Review in Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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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

3 authors.

Yanin Chavarri-GuerraDepartment of Hemato-Oncology, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubiran, Mexico City, Mexico.
Kathleen Reilly BlazerDivision of Clinical Cancer Genomics, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Jeffrey Nelson WeitzelDivision of Clinical Cancer Genomics, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.

Funding

Cancer Genetics Professional Education in a Global Community of PracticeR25CA171998 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI KATHLEEN R. BLAZER · 2013 to 2026
$4.3M
NCI NIH HHS R25 CA171998
6 · The paper itself

Abstract

In Latin America, breast cancer is the most common malignancy in women, and limited available data suggest that up to 15% of all breast cancer cases in the region are hereditary. Genetic cancer risk assessment and counseling is a critical component of the appropriate clinical care of patients with hereditary breast cancer and their families. Unfortunately, genetic services are underdeveloped across Latin America, and access to genetic testing and counseling is very scarce in the region. Barriers contributing to the access to genetic care are high cost and lack of insurance coverage for genetic tests, insufficient oncogenetics training or expertise, nonexistence of genetic counseling as a clinical discipline, and lack of supportive healthcare policies. In this review, we highlight relevant initiatives undertaken in several Latin American countries aimed at creating genetic cancer risk assessment programs. Additionally, we present a review of the scientific literature on the current status of breast cancer genomics in Latin America, with specific emphasis on demographic indicators, access to cancer genetic care, training and strategies to improve outcomes, and international collaborations.

Indexed as

Breast NeoplasmsFemaleGenetic CounselingGenetic Predisposition to DiseaseGenetic TestingHealth Services AccessibilityHumansInsurance CoverageLatin AmericaRisk Assessment

Identifiers

PMID28453507
PMCPMC5658001

What OpenQuestion holds

Textmetadata
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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.