Evidence map›Paper›PMID 26064067›Full record

ArticleBreast cancer (Dove Medical Press)2015

Development and psychometric testing of a breast cancer patient-profiling questionnaire.

Alessandra Gorini, Ketti Mazzocco, Sara Gandini, Elisabetta Munzone, Gordon McVie, Gabriella Pravettoni

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Article in Breast cancer (Dove Medical Press), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 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

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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

6 authors.

Alessandra GoriniDepartment of Health Science, University of Milan, Milan, Italy ; European Institute of Oncology, Milan, Italy.
Ketti MazzoccoDepartment of Health Science, University of Milan, Milan, Italy ; European Institute of Oncology, Milan, Italy.
Sara GandiniEuropean Institute of Oncology, Milan, Italy.
Elisabetta MunzoneEuropean Institute of Oncology, Milan, Italy.
Gordon McVieEuropean Institute of Oncology, Milan, Italy.
Gabriella PravettoniDepartment of Health Science, University of Milan, Milan, Italy ; European Institute of Oncology, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe advent of "personalized medicine" has been driven by technological advances in genomics. Concentration at the subcellular level of a patient's cancer cells has meant inevitably that the "person" has been overlooked. For this reason, we think there is an urgent need to develop a truly personalized approach focusing on each patient as an individual, assessing his/her unique mental dimensions and tailoring interventions to his/her individual needs and preferences. The aim of this study was to develop and test the psychometric properties of the ALGA-Breast Cancer (ALGA-BC), a new multidimensional questionnaire that assesses the breast cancer patient's physical and mental characteristics in order to provide physicians, prior to the consultation, with a patient's profile that is supposed to facilitate subsequent communication, interaction, and information delivery between the doctor and the patient.

methodsThe specific validation processes used were: content and face validity, construct validity using factor analysis, reliability and internal consistency using test-retest reliability, and Cronbach's alpha correlation coefficient. The exploratory analysis included 100 primary breast cancer patients and 730 healthy subjects.

resultsThe exploratory factor analysis revealed eight key factors: global self-rated health, perceived physical health, anxiety, self-efficacy, cognitive closure, memory, body image, and sexual life. Test-retest reliability and internal consistency were good. Comparing patients with a sample of healthy subjects, we also observed a general ability of the ALGA-BC questionnaire to discriminate between the two.

conclusionThe ALGA-BC questionnaire with 29 items is a valid instrument with which to obtain a patient's profile that is supposed to help physicians achieve meaningful personalized care which supplements biological and genetic analyses.

Indexed as

patient–physician communicationpatient preferencespersonalized medicinequestionnaire validation

Identifiers

PMID26064067
PMCPMC4457218

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.