Evidence map›Paper›PMID 34248460›Full record

ReviewBreast care (Basel, Switzerland)2021

Quality and Quantity: How to Organize a Countrywide Genetic Counseling and Testing.

Rita Katharina Schmutzler

Open access · hybridAbstract readReview
In one paragraph

Review in Breast care (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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.

Rita Katharina SchmutzlerCenter for Familial Breast and Ovarian Cancer and Center for Integrated Oncology (CIO), University Hospital Cologne, Cologne, Germany.
University Hospital Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbout 30% of all women with breast or ovarian cancer exhibit a family history of the disease. So far, the genetic cause could be deciphered in about 30% of these cases. The results demonstrate a high genetic heterogeneity, with high-risk and moderate-risk genes and low-risk variants contributing alone or in concert to the development of cancer. Furthermore, it has been shown that the genotype significantly determines the phenotype and that knowledge of the phenotype is as important as the genotype to offer adequate and risk-adapted prevention to persons at risk. For newly identified risk genes, however, the phenotype is not sufficiently characterized at first, and thus prevention measures are not sufficiently evaluated. SUMMARY: The German Consortium for Hereditary Breast and Ovarian Cancer has developed a concept for collecting the missing data in the context of knowledge-generating care and at the same time ensuring care based on the best available knowledge. Core elements of this concept are: structured and standardized care, an outcome-oriented evaluation based on a comprehensive registry, networking with certified breast and gynecological cancer centers combined with regular training on state-of-the-art care for doctors, and compilation of comprehensible patient information. This comprehensive concept has been incorporated into contracts for specialized care with health insurers and thus ensures nationwide care at the highest scientific and clinical levels. KEY MESSAGES: This article describes how to implement a concept of evidence-generating care for risk-adjusted prevention in a nationwide health care system.

Indexed as

Area coverageEvidence-generating careGenetic counseling and testingHereditary breast and ovarian cancerStructured and standardized care program

Identifiers

PMID34248460
PMCPMC8248770
OpenAlexW3161648698

What OpenQuestion holds

Textmetadata
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.