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@ARTICLE{Schulze:274047,
author = {Schulze, Jan Ben and Dörner, Marc and Huber, Mona and
Jordan, Katja-Daniela and Känel, Roland von and Euler,
Sebastian},
title = {{P}sychiatric {D}iagnoses and {T}heir {T}reatment in
{W}omen {W}ith {B}reast {C}ancer: {A} {L}atent {C}lass
{A}nalysis of 1062 {I}npatients.},
journal = {Clinical breast cancer},
volume = {25},
number = {1},
issn = {1526-8209},
address = {Dallas, Tex.},
publisher = {Cancer Information Group},
reportid = {DZNE-2025-00028},
pages = {e22 - e29},
year = {2025},
abstract = {Psycho-oncological support (POS) and psychopharmacological
interventions are effective in treating psychiatric symptoms
in patients with breast cancer. However, despite high
prevalences of psychiatric disorders in patients with breast
cancer, a significant proportion remains untreated.Data from
1062 breast cancer patients who had been diagnosed and
treated at a Comprehensive Cancer Center between 2012 and
2019 were analyzed retrospectively. We descriptively
evaluated the number of patients with a psychiatric
diagnosis, POS and psychiatric medication. Latent class
analysis was used to examine the relationship between ICD-10
coded psychiatric diagnoses, POS, psychiatric medication,
and, as important prognostic factors, tumor stage and
somatic $comorbidity.31.5\%$ of all patients had a
psychiatric diagnosis, $20\%$ received POS and up to $60\%$
received psychiatric medication. Latent class analysis
revealed three subgroups: 1) patients with a low cancer
stage, low somatic comorbidity, no psychiatric diagnosis, no
POS and no psychiatric medication; 2) patients with a low
cancer stage, low somatic comorbidity, a psychiatric
diagnosis, and a higher probability of POS and psychiatric
medication than class 1 and class 3; 3) patients with
advanced cancer stage, high somatic comorbidity, a higher
probability of a psychiatric diagnosis and POS than class 1,
and no psychiatric medication.This study indicated a high
prevalence of psychiatric disorders among patients with
breast cancer and a discrepancy between the number of
patients having a psychiatric disorder and those receiving
psychiatric medication. The identification of subgroups
might contribute to better tailored treatment for those
patients whose needs are insufficiently met.},
keywords = {Humans / Female / Breast Neoplasms: psychology / Breast
Neoplasms: therapy / Breast Neoplasms: pathology / Mental
Disorders: epidemiology / Middle Aged / Retrospective
Studies / Adult / Latent Class Analysis / Aged / Comorbidity
/ Prevalence / Inpatients: psychology / Inpatients:
statistics $\&$ numerical data / Prognosis / Psychotropic
Drugs: therapeutic use / Breast cancer (Other) / Psychiatric
comorbidity (Other) / Psychiatric medication (Other) /
Psychiatric treatment (Other) / Psycho-oncology (Other) /
Psychotropic Drugs (NLM Chemicals)},
cin = {AG Schreiber},
ddc = {610},
cid = {I:(DE-2719)1310010},
pnm = {353 - Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:39153934},
doi = {10.1016/j.clbc.2024.06.011},
url = {https://pub.dzne.de/record/274047},
}