Evidence map›Paper›PMID 34304277›Full record

ArticleSocial psychiatry and psychiatric epidemiology2022

Predictors of psychiatric comorbidity in cancer patients at the time of their discharge from the hospital.

Julia Roick, Helge Danker, Anette Kersting, Arne Dietrich, Andreas Dietz, Kirsten Papsdorf, Jürgen Meixensberger, Jens-Uwe Stolzenburg, Hubert Wirtz, Susanne Singer

Open access · hybridAbstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Social inequalities in cancer in Germany: a call to action.Journal of cancer research and clinical oncology · 2026
    Review
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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

10 authors at 4 institutions in 1 country.

Julia RoickInstitute of Medical Sociology, Medical Faculty, Martin Luther University Halle-Wittenberg, Magdeburger Straße 8, 06112, Halle (Saale), Germany. Julia.Roick@medizin.uni-halle.de.ORCID http://orcid.org/0000-0003-2835-7792
Helge DankerDevision of Medical Psychology and Medical Sociology, University Medical Center Leipzig, Philipp-Rosenthal-Straße 55, 04103, Leipzig, Germany.
Anette KerstingDepartment of Psychosomatic Medicine and Psychotherapy, University Medical Center Leipzig, Semmelweisstraße 10, 04103, Leipzig, Germany.
Arne DietrichDepartment of Visceral-, Transplantation-, Thoracic-, and Vascular Surgery, University Medical Center Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Andreas DietzDepartment of Otolaryngology, University Medical Center Leipzig, Liebigstraße 10-14, 04103, Leipzig, Germany.
Kirsten PapsdorfDepartment of Radiation-Oncology, University Medical Center Leipzig, Stephanstraße 9a, 04103, Leipzig, Germany.
Jürgen MeixensbergerDepartment of Neurosurgery, University Medical Center Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Jens-Uwe StolzenburgDepartment of Urology, University Medical Center Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Hubert WirtzDepartment of Pneumology, University Medical Center Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Susanne SingerInstitute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Centre of Johannes Gutenberg University Mainz, Obere Zahlbacher Straße 69, 55131, Mainz, Germany.
Leipzig University · DEUniversity Hospital Leipzig · DEJohannes Gutenberg University Mainz · DEMartin Luther University Halle-Wittenberg · DE

Funding

Bundesministerium für Gesundheit NKP-332-026
6 · The paper itself

Abstract

purposeA cancer diagnosis can have a substantial impact on one's mental health. The present study investigated the prevalence and predictors of psychiatric comorbidities in cancer patients at the time of their discharge from the hospital.

methodsPsychiatric comorbidities were assessed shortly before hospital discharge and half a year after hospitalization using a structured clinical interview (SCID), based on the diagnostic and statistical manual of mental disorders (DSM-IV). Frequencies at both time points were estimated using percentages and corresponding 95% confidence intervals. Predictors of mental disorders were identified using binary logistic regression models.

resultsAt time of hospital discharge, 39 out of 334 patients (12%) were diagnosed with a psychiatric comorbidity, and 15 (7%) were diagnosed half a year later. Among the diagnoses, adjustment disorders (3%) were most frequent at the time of hospital release, while major depression (3%) was the most frequent 6 months later. Having a mental disorder was associated with unemployment (odds ratio (OR) 3.4, confidence interval (CI) 1.1-10.9, p = 0.04). There was no evidence that school education (OR 2.0, CI 0.4-9.0, p = 0.38), higher education (OR 0.7, CI 0.2-2.4, p = 0.60), income (OR 1.0, CI 1.0-1.0, p = 0.06), tumor stage (OR 1.1, CI 0.4-3.2, p = 0.85), type of disease (OR 0.6, CI 0.2-2.1, p = 0.47), pain (OR 1.0, CI 1.0-1.0, p = 0.15), fatigue (OR 1.0, CI 1.0-1.0, p = 0.77), or physical functioning (OR 1.0, CI 1.0-1.0, p = 0.54) were related to the presence of a psychiatric comorbidity.

conclusionsUnemployment was associated with at least a threefold increased risk of mental disorder, which highlights the need for special attention to be given to this subgroup of cancer patients.

Indexed as

Mental DisordersNeoplasmsComorbidityDiagnostic and Statistical Manual of Mental DisordersHospitalsHumansPatient DischargeCancerLongitudinal studyPredictorsProspective studyPsychiatric comorbidity

Identifiers

PMID34304277
PMCPMC8934323
OpenAlexW3184145591

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.