Evidence map›Paper›PMID 35194887›Full record

ArticlePsycho-oncology2022

Validation of the multidimensional impact of Cancer Risk Assessment Questionnaire to assess impact of waiting for genome sequencing results.

Megan Best, Christine Napier, Timothy Schlub, Nicci Bartley, Barbara Biesecker, Mandy Ballinger, Phyllis Butow

Abstract read
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Article in Psycho-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Network-Integrated Platform for Clinical Trial Navigation from the New South Wales Early Phase Clinical Trials Alliance.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  2. Psychological Impact ofClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
    Article
  3. Observational
  4. 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

7 authors.

Megan BestInstitute for Ethics and Society, University of Notre Dame Australia, Broadway, New South Wales, Australia.ORCID 0000-0003-1570-8872
Christine NapierCancer Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.ORCID 0000-0001-8009-7735
Timothy SchlubSydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-7746-9649
Nicci BartleyFaculty of Science, University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-9052-1616
Barbara BieseckerRTI International, Washington, District of Columbia, USA.ORCID 0000-0001-9665-8963
Mandy BallingerCancer Theme, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.ORCID 0000-0002-9706-0514
Phyllis ButowFaculty of Science, University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-3562-6954

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether the existing Multidimensional Impact of Cancer Risk Assessment (MICRA) scale, which assesses impact of receiving genetic test results on individuals being assessed for cancer risk, can be successfully adapted to cancer patients experiencing prolonged waiting for results of germline genome sequencing (GS).

methodsPatients previously diagnosed with likely hereditary cancer (n = 250) who were waiting for germline GS results completed questionnaires 3 months after baseline. We adapted the MICRA to measure anxiety associated with waiting for results, and assessed factor structure, internal consistency, test-retest reliability and construct validation.

resultsFactor analysis revealed four factors: distress, positive experience, family support and uncertainty. Internal consistency for each sub-scale was high with the values of Cronbach's alpha for the distress, positive experiences, family support and uncertainty sub-scales 0.92, 0.88, 0.92 and 0.87, respectively. Test-retest reliability was poor, with intra-class correlations of 0.53, 0.13, 0.33 and 0.52 for the four factors, respectively. Construct validation showed large correlations between the MICRA distress and uncertainty sub-scale scores and the Impact of Events score intrusion (0.42 and 0.62, respectively) and IES avoidant thinking sub-scales (0.40 and 0.58, respectively) but not the Hospital Anxiety and Depression Scale sub-scales.

conclusionsThe adapted MICRA identified test-related anxiety and uncertainty in a population of cancer patients waiting for germline GS results. Results suggest that the distress and uncertainty sub-scales of the adapted measure are most useful in this context.

Indexed as

AnxietyNeoplasmsHumansPsychometricsReproducibility of ResultsRisk AssessmentSurveys and Questionnairesanxietycancerdistressfactor analysisgenetic testingMICRAoncologystatisticaluncertainty

Identifiers

PMID35194887
PMCPMC9543392

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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.