Evidence map›Paper›PMID 35968604›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Structural Analysis of Social Behavior: Using Cluster Analysis to Examine Intrapsychic Personality Traits Associated With Depression in Women With Breast Cancer.

Anna Vespa, Maria Velia Giulietti, Paolo Fabbietti, Mirko Di Rosa, Pisana Gattafoni, Riccardo Sarzani, Giorgio Arnaldi, Giancarlo Balercia, Rossana Berardi, Gianmaria Salvo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Anna VespaClinic of Internal Medicine and Geriatrics, INRCA-IRCCS National Institute of Health and Science on Aging, Ancona, Italy.ORCID https://orcid.org/0000-0002-0503-7852
Maria Velia GiuliettiNeurology-Department, Scientific and Technological Area, 9345INRCA-IRCCS National Institute of Health and Science on Aging, Ancona, Italy.ORCID https://orcid.org/0000-0002-3729-5434
Paolo FabbiettiBiostatistical Center, 9345INRCA-IRCCS National Institute of Science and Health on Aging, Ancona, Italy.
Mirko Di RosaScientific Direction, INRCA-IRCCS National Institute of Science and Health on Aging, Ancona, Italy.
Pisana GattafoniClinic of Internal Medicine and Geriatrics, INRCA-IRCCS National Institute of Health and Science on Aging, Ancona, Italy.
Riccardo SarzaniHypertension Excellence Centre ESH, Polytechnic University of Marche, Clinic of Internal Medicine and Geriatrics, 9345INRCA-IRCCS National Institute of Health and Science on Aging, Ancona, Italy.
Giorgio ArnaldiDivision of Endocrinology, Department of Clinical and Molecular Sciences, 9294Polytechnic University of Marche, Ancona, Italy.
Giancarlo BalerciaDivision of Endocrinology, Department of Clinical and Molecular Sciences, 9294Polytechnic University of Marche, Ancona, Italy.
Rossana BerardiDepartment of Oncology, Ospedali Riuniti, Polytechnic University of Marche, Ancona, Italy.
Gianmaria SalvoDivision of Endocrinology, Department of Clinical and Molecular Sciences, 9294Polytechnic University of Marche, Ancona, Italy.ORCID https://orcid.org/0000-0001-9290-5699
Luigi AttademoDepartment of Mental Health, 89494ASP Basilicata, Potenza, Italy.ORCID https://orcid.org/0000-0001-5976-6738
Roberta SpatuzziDepartment of Mental Health, 89494ASP Basilicata, Potenza, Italy.ORCID https://orcid.org/0000-0002-8714-9013
Marche Polytechnic University · ITIstituto Nazionale di Riposo e Cura per Anziani · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate personality traits associated with depression in breast cancer women (BCW).

methodsSample: 236 BCW recently diagnosed (early stages). Tests: SASB-Structural-Analysis of Social-Behavior; IPAT-CDQ-Depression

resultsCluster analysis results supported two distinguishable SASB personality traits (for all SASB Cl-Scales

conclusionsHealthcare professionals should be aware of these personality traits and their association with depression to identify the psychologically most vulnerable BCW and improve the care they provide them. The psychotherapeutic intervention should be planned to face on the personality problems.

Indexed as

Breast NeoplasmsCluster AnalysisDepressionFemaleHumansPersonalitySocial Behaviorbreast cancerdepressioninterpersonal behaviorsintrapsychic behaviorspersonality traits

Identifiers

PMID35968604
PMCPMC9379960
OpenAlexW4291307677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.