Evidence map›Paper›PMID 25986962›Full record

ArticleJournal of genetic counseling2016

Subjects At-Risk for Genetic Diseases in Portugal: Illness Representations.

Ângela Leite, Maria Alzira P Dinis, Jorge Sequeiros, Constança Paúl

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of genetic counseling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Ângela LeiteFaculty of Psychology (ULP), Lusophone University of Oporto, Rua Augusto Rosa n° 24, 4000-098, Porto, Portugal. angelamtleite@gmail.com.
Maria Alzira P DinisFaculty of Science and Technology (FCT-UFP), University of Fernando Pessoa, Porto, Portugal.
Jorge SequeirosInstituto de Ciências Biomédicas Salazar (ICBAS), Porto, Portugal.
Constança PaúlInstituto de Ciências Biomédicas Salazar (ICBAS), Porto, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates illness representations of subjects at-risk for 3 autosomal dominant late-onset disorders: Familial Amyloid Polyneuropathy (FAP) TTR V30M, Huntington's disease (HD) and Machado-Joseph disease (MJD), comparing them with the illness representations of subjects at-risk for Hemochromatosis (HH). The present study included a clinical group that consisted of 213 subjects at genetic risk (FAP, HD and MJD), comprising 174 subjects at-risk for FAP, 34 subjects at-risk for HD and only 5 subjects at-risk for MJD; and the control group consisting of 31 subjects at genetic risk for HH. All subjects at-risk were undergoing the process of genetic counseling to learn their genetic status (carrier or non-carrier). Subjects were assessed through a semi-structured single interview, in order to obtain sociodemographic data and the answer to an open-ended question relating to the illness representation issue: "What does this illness mean to you?/ What is this disease to you?" It was in the subjects' metaphors that subjects best expressed what they felt regarding the disease and the situation of being at-risk for this disease. Family is their mirror and their source of learning and, therefore, it is inevitable that family is related to the meaning of the disease itself.

Indexed as

Amyloid Neuropathies, FamilialFemaleGenetic CounselingGenetic TestingHumansPedigreePortugalPrealbuminRisk FactorsPrealbuminFamilial Amyloid Polyneuropathy (FAP) TTR V30MGenetic diseaseGenetic riskHuntington’s diseaseIllness representationsMachado-Joseph diseaseSubjects at-risk

Identifiers

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.