Evidence map›Paper›PMID 35807202›Full record

ArticleJournal of clinical medicine2022

Latent Classes for the Treatment Outcomes in Women with Gambling Disorder and Buying/Shopping Disorder.

Roser Granero, Fernando Fernández-Aranda, Milagros Lizbeth Lara-Huallipe, Mónica Gómez-Peña, Laura Moragas, Isabel Baenas, Astrid Müller, Matthias Brand, Claudia Sisquellas, Susana Jiménez-Murcia

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Features Linked to Treatment Outcomes in Behavioral Addictions and Related Disorders.International journal of environmental research and public health · 2023
    Review
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

10 authors at 5 institutions in 2 countries.

Roser GraneroDepartment of Psychobiology and Methodology, Universitat Autònoma de Barcelona-UAB, 08193 Bellaterra, Barcelona, Spain.ORCID 0000-0001-6308-3198
Fernando Fernández-ArandaCiber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, 28220 Majadahonda, Madrid, Spain.ORCID 0000-0002-2968-9898
Milagros Lizbeth Lara-HuallipeDepartment of Psychiatry, Hospital Universitari de Bellvitge, 08907 L'Hospitalet de Llobregat, Barcelona, Spain.
Mónica Gómez-PeñaDepartment of Psychiatry, Hospital Universitari de Bellvitge, 08907 L'Hospitalet de Llobregat, Barcelona, Spain.
Laura MoragasDepartment of Psychiatry, Hospital Universitari de Bellvitge, 08907 L'Hospitalet de Llobregat, Barcelona, Spain.
Isabel BaenasCiber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, 28220 Majadahonda, Madrid, Spain.
Astrid MüllerDepartment of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, 30625 Hannover, Germany.
Matthias BrandGeneral Psychology, Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, 47057 Duisburg, Germany.
Claudia SisquellasDepartment of Psychiatry, Hospital Universitari de Bellvitge, 08907 L'Hospitalet de Llobregat, Barcelona, Spain.
Susana Jiménez-MurciaCiber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, 28220 Majadahonda, Madrid, Spain.ORCID 0000-0002-3596-8033
Bellvitge University Hospital · ESInstituto de Salud Carlos III · ESErwin L. Hahn Institute for Magnetic Resonance Imaging · DEMedizinische Hochschule Hannover · DEUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risk for behavioral addictions is rising among women within the general population and in clinical settings. However, few studies have assessed treatment effectiveness in females. The aim of this work was to explore latent empirical classes of women with gambling disorder (GD) and buying/shopping disorder (BSD) based on the treatment outcome, as well as to identify predictors of the different empirical groups considering the sociodemographic and clinical profiles at baseline.

methodA clinical sample of

resultsThe four latent-classes solution was the optimal classification in the study. Latent class 1 (LT1,

conclusionsGD and BSD are complex conditions with multiple interactive causes and impacts, which need wide and flexible treatment plans. Specific interventions should be designed according to the specific profiles of women for achieving early inclusion, retention and well-maintained long-term effects.

Indexed as

buying/shopping disordercognitive behavioral therapygambling disorderlatent class analysiswomen

Identifiers

PMID35807202
PMCPMC9267407
OpenAlexW4284697069

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.