Evidence map›Paper›PMID 19224252›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2009

Intrusion and avoidance in subjects undergoing genetic investigation and counseling for hereditary cancer.

Cathrine Bjorvatn, Geir Egil Eide, Berit R Hanestad, Anniken Hamang, Odd E Havik

Abstract readMulticenter Study
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In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

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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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

5 authors.

Cathrine BjorvatnDepartment of Public Health and Primary Health Care, University of Bergen, 5018 Bergen, Norway. cathrine.bjorvatn@isf.uib.no
Geir Egil Eide
Berit R Hanestad
Anniken Hamang
Odd E Havik

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

goals of workGenetic counseling for hereditary cancer is expected to involve a growing number of individuals in the near future since an increasing number of genetic tests are offered. This study was designed to identify psychosocial variables predicting distress after genetic investigation and genetic counseling (GC) in order to develop new counseling strategies. MATERIALS AND

methodsA prospective multi-site study was undertaken on 214 patients undergoing GC for hereditary cancer to explore the relationships between socio-demographic variables, medical variables, social support, self-efficacy, physical functioning, satisfaction with GC, the level of worry after GC, results of genetic testing, and the course and outcomes of distress. Distress was measured with the Impact of Event Scale, which includes subscales of intrusion and avoidance. Patients completed questionnaires mailed to them before and after GC. MAIN

resultsThe mean level of intrusion and avoidance was moderate, even though one quarter of participants reported a severe level of intrusion at baseline. Subjects with a low level of self-efficacy at baseline and high level of worry immediately after GC seemed to be vulnerable to both intrusion and avoidance. Lower level of intrusion was also associated with having a first-degree relative with cancer, while a lower avoidance level was associated with a higher level of education, having cancer, more social support, and higher satisfaction with GC.

conclusionsIn this study, subjects who had lower level of self-efficacy at baseline and a high level of worry immediately after GC seemed to be vulnerable to both intrusion and avoidance in this study.

Indexed as

NeoplasmsAdultFemaleGenetic CounselingGenetic Predisposition to DiseaseHumansMaleMiddle AgedPatient SatisfactionProspective StudiesPsychiatric Status Rating ScalesRegression AnalysisSelf EfficacySocioeconomic FactorsStress, PsychologicalSurveys and Questionnaires

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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.