Next Article in Journal
Creative Self-Efficacy and Social Skills in a Portuguese Sample of University Students: Links with Self-Esteem, Academic Achievement and Life Satisfaction
Previous Article in Journal
The Role of Psychological Factors and Resilience in Mediating Sports Passion in Triathletes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Negative Association Between Schizophrenia and Subsequent Cancer Diagnoses—A Retrospective Cohort Study from Germany

1
Epidemiology, IQVIA, 60549 Frankfurt, Germany
2
Department of Gynecology and Obstetrics, Philipps-University of Marburg, 35043 Marburg, Germany
3
Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany
*
Authors to whom correspondence should be addressed.
Eur. J. Investig. Health Psychol. Educ. 2024, 14(12), 2957-2965; https://doi.org/10.3390/ejihpe14120194
Submission received: 18 September 2024 / Revised: 13 November 2024 / Accepted: 18 November 2024 / Published: 26 November 2024

Abstract

:
Background: Since previous studies have reported contradictory findings regarding the relationship between schizophrenia and cancer, we evaluated the association between schizophrenia and cancer diagnoses. Methods: In this retrospective cohort study, the IQVIA Disease Analyzer database was utilized to examine the incidence of cancer among patients aged over 18 years diagnosed with schizophrenia in German general practices from 2005 to 2022. Patients with schizophrenia were compared with those without the condition, with adjustments made for age, sex, index year of diagnosis, average annual practitioners visit frequency, and comorbidity. Kaplan–Meier curves were used to analyze the 10-year cumulative incidence of schizophrenia and cancer in total amongst patients with and without schizophrenia. Univariate Cox regression analysis was performed to calculate Hazard Ratios (HR) of cancer risk and their 95% confidence intervals (CI) of cancer in total and of specific cancer types. Results: Patients with schizophrenia (N = 13.711) had a lower incidence of cancer diagnosis compared to those without (N = 68.555). Specifically, 10.4% of patients with schizophrenia and 12.5% of patients without the condition were diagnosed with cancer (p < 0.001). Cox regression analysis showed a significant association between schizophrenia and subsequent cancer in the total population (HR: 0.82; 95% CI: 0.76–0.90), and among men (HR: 0.70; 95% CI: 0.61–0.80), but not among women (HR: 0.94, 95% CI: 0.84–1.04). Analyses stratified by cancer type and sex revealed a strong and significant association between schizophrenia and a decreased risk of prostate cancer in men (HR: 0.38; 95% CI: 0.24–0.61). Furthermore, there was also a negative association between schizophrenia and colorectal cancer risk in men, but statistical significance was not reached (HR: 0.58; 95% CI: 0.37–0.93). Conclusions: This study demonstrates negative associations between schizophrenia and subsequent cancer, and more specifically in men for prostate and colorectal cancer. However, further research is required to explore the underlying reasons for these associations.

1. Introduction

While the global prevalence of schizophrenia remains below 1%, the absolute number of cases continues to increase due to factors such as population growth and aging [1]. Compared to the general population, individuals with schizophrenia face a significantly reduced life expectancy of 15 to 20 years on average and experience a two to three times higher mortality rate [2,3,4]. Consequently, schizophrenia is considered one of the most severe mental disorders, playing a significant role in the overall burden of disease and economic strain worldwide [5].
Individuals diagnosed with schizophrenia face high mortality rates, largely due to comorbidities and consequences of the disease’s symptoms. Factors such as poor health habits, metabolic disorders, cardiovascular diseases, and co-existing depression influence the mortality risk positively. Also, cognitive and social impairment are known side effects of schizophrenia [6].
The high mortality rates associated with schizophrenia reveal suicide as the most common unnatural cause. However, in terms of natural causes, cancer was shown to be the leading comorbid cause of mortality in individuals with schizophrenia in France at 20.2%, followed by cardiovascular diseases with 17.2% [7]. However, epidemiological research on cancer prevalence in patients with schizophrenia presents conflicting results. Some studies indicate a lower risk of cancer in individuals with schizophrenia, others suggest a higher risk, and yet others find comparable cancer risk between individuals with and without schizophrenia [3].
Given the prevalent cancer-related risk factors in individuals with schizophrenia, such as tobacco consumption, there is, for example, a higher prevalence of lung cancer within this cohort anticipated [8].
This study aims to clarify the potential association between schizophrenia and the incidence of cancer. Specifically, we will evaluate the relationship between schizophrenia and cancer incidence among patients in German general practices from 2005 to 2022. The Disease Analyzer database offers representative data for Germany’s general population to gain reliable information with high level of significance and therefore, to address the existing knowledge gap on the association between schizophrenia and cancer incidence. The necessity of this study is the result of the scientific inconsistencies on this association. It is crucial to clarify the existence and the type of association to ultimately improve health care and management of individuals with schizophrenia.

2. Database and Methods

2.1. Database

This retrospective cohort study was based on data from the Disease Analyzer database (IQVIA), which contains drug prescriptions, diagnoses, and basic medical and demographic data obtained directly and in anonymous format from computer systems used in the practices of general practitioners and specialists [9]. The database covers approximately 3% of all private practices in Germany. The sampling method for the Disease Analyzer database is based on summary statistics from all physicians in Germany published yearly by the German Medical Association. IQVIA uses these statistics to determine the panel design according to the four strata including specialist group, German federal state, community size category, and age of physician. It has previously been shown that the panel of practices included in the Disease Analyzer database is representative of general and specialized practices in Germany with respect to age, sex and prescriptions [9]. Finally, this database has already been used in previous studies focusing on cancer [10,11,12].

2.2. Study Population

Patients aged 18 and older with a documented schizophrenia diagnosis (ICD-10: F20) in 1293 general practices in Germany between January 2005 and December 2022 were included. A random schizophrenia documentation date was considered as the index date (Figure 1). Patients with diagnoses of cancer (ICD-10: C00–C97), in situ neoplasms (ICD-10: D00–D09), and neoplasms of uncertain or unknown behavior diagnoses (ICD-10: D37–D48) prior to index date, on the index date, or within three months after the index date were excluded. Only patients with an observation time of at least 12 months prior to the index date were included.
Individuals without schizophrenia diagnoses were matched to schizophrenia patients using nearest neighbor propensity score matching (1:5) based on similar inclusion criteria. The matching factors included age, sex, index year, average yearly consultation frequency during follow-up, and Charlson Comorbidity Index (CCI). The CCI is a weighted index used in administrative database studies accounting for the number and severity of comorbidities. It includes a wide range of comorbidities, such as macrovascular diseases, pulmonary diseases, gastrointestinal, liver, and renal diseases, diabetes, AIDS, and others [13]. For the non-schizophrenia cohort, the index date was that of a randomly selected visit occurring between January 2005 and December 2022 (Figure 1).

2.3. Study Outcomes

The outcomes of the study were the initial diagnoses of cancer in total (ICD-10: C00–C97), as well as most frequent cancer types including esophagus and stomach (ICD-10: C15, C16), colon and rectum (ICD-10: C18, C20), pancreas (ICD-10: C25), bronchus and lung (ICD-10: C34), malignant melanoma of skin (ICD-10: C43), female breast (ICD-10: C50), female genital organs (ICD-10: C51–C58), prostate (ICD-10: C61), lymphomas (ICD-10: C81–C86) and leukemias (ICD-10: C91–C95) in the up to 10 years following the index date as function of schizophrenia.

2.4. Statistical Analyses

Differences in the sample characteristics and diagnosis prevalence between schizophrenia and non-schizophrenia cohorts were compared using the Wilcoxon signed-rank test for continuous variables, the McNemar test for categorical variables with two categories, and the Stuart–Maxwell test for categorical variables with more than two categories.
The 10 year cumulative incidence of cancer in total was further studied with Kaplan–Meier curves. These results were compared using the log-rank test. Finally, a univariate Cox regression analysis was conducted to assess the association between schizophrenia and cancer. These models were conducted separately for the female and the male population. Results from the Cox regression model are presented as hazard ratios (HRs) and 95% confidence intervals (CIs). A p-value of <0.001 was considered statistically significant due to multiple comparisons. All analyses were conducted using SAS version 9.4 (SAS Institute, Cary, NC, USA).

3. Results

3.1. Basic Characteristics of the Study Sample

The present study included 13,711 individuals with and 68,555 without schizophrenia. The basic characteristics of study patients are displayed in Table 1. The mean age was between 52.3 and 52.5 years, 50.2% were female. Patients visited physicians an average 6.9 times per year during the follow-up.

3.2. Cumulative Incidence of Cancer Among Patients With and Without Schizophrenia

After up to 10 years of follow-up, 10.4% of schizophrenia and 12.5% of non-schizophrenia patients were diagnosed with cancer (p < 0.001, Figure 2). There were 12.6% of women with schizophrenia and 13.2% of women without schizophrenia (p = 0.233) as well as 7.9% vs. 11.7% of men (p < 0.001) with cancer diagnoses (Figure 2).

3.3. Association of Schizophrenia with Cancer Diagnoses

In the regression analysis, schizophrenia was significantly negatively associated with a subsequent cancer diagnosis in the total population (HR: 0.82; 95% CI: 0.76–0.90), among men (HR: 0.70; 95% CI: 0.61–0.80) but not among women (HR: 0.94; 95% CI: 0.84–1.04). In women, no significant associations were observed in the stratified analyses by cancer type. In men, schizophrenia was strongly and significantly associated with a decreased prostate cancer risk (HR: 0.38; 95% CI: 0.24–0,61). Moreover, in men there was a strong negative association between schizophrenia and colorectal cancer risk (HR: 0.58; 95% CI: 0.37–0.93), but a p-value of <0.001 was not reached (Table 2).
As schizophrenia and non-schizophrenia cohorts were slightly but significantly different in average CCI, a sensitivity analysis using a multivariable regression model adjusted for CCI was conducted. Similar to the main analysis, in this sensitivity analysis, schizophrenia was negatively associated with cancer (HR: 0.83; 95% CI 0.77–0.91).

4. Discussion

This study on cancer incidence among patients diagnosed with schizophrenia in German general practices from 2005 to 2022 yielded significant findings. The study sample included two cohorts, one of 13,711 patients with schizophrenia and another cohort of 68,555 patients without the condition. The analyses identified a significant negative association between schizophrenia and the overall cancer risk. Whereas 12.5% of patients not diagnosed with schizophrenia were found to have cancer, it was only 10.4% of patients with schizophrenia who had records of a cancer diagnosis. Stratification by sex resulted in a significant HR only in men, showing a decreased risk for prostate and colorectal cancers. Notably, only the negative association between schizophrenia and prostate cancer risk was statistically significant. In women, no association was shown.
The relationship between schizophrenia and cancer risk has been extensively examined in several studies, returning a variety of, and to some extent contradictory, findings. Our study revealed a notable association between a diagnosis of schizophrenia and a reduced overall risk of developing cancer. This striking pattern does not appear to be influenced by a single factor, instead, it is likely shaped by a multitude of elements.
Among the factors contributing to this reduced cancer risk, certain genes have been identified as potentially associated with a lower incidence of cancer. Huang et al. have shown that there are specific genes common to both schizophrenia and cancer that could potentially inhibit tumor formation [14]. Similarly, Özbey et al. have found that the A1 allele could offer protection against lung cancer [15], while Wang et al. have suggested the XRCC4 gene could act as a protective factor against schizophrenia [16]. These three genes were observed to be more common in individuals diagnosed with schizophrenia than in those without the condition.
In addition, Zhou et al. have concluded that tumor suppressor genes, which have the ability to stop or slow down cell growth and multiplication, could impact the normal development or functioning of neural tissues, thereby potentially leading to schizophrenia [17]. This association is further supported by the observation that not only do individuals with schizophrenia exhibit a lower rate of cancer incidence, but this trend is also seen in their first-degree relatives [18]. The complicated interaction between schizophrenia and cancer, with genes potentially acting as moderators or confounders, warrants further investigation.
Another influential factor to consider is the role of antipsychotic medications, which are the most commonly used treatment for schizophrenia symptoms [19]. These medications justify a closer examination to determine their potential impact on the relationship between schizophrenia and the chance of a cancer diagnosis. While a nested case-control study by Taipale et al. has reported a significant association between long-term exposition to prolactin-increasing antipsychotics and increased odds of breast cancer [20], other research suggests that antipsychotic drugs overall may hold potent anti-cancer properties. In particular, these medications have been shown to not only inhibit the growth and spread of tumors, but also to induce the death of cancer cells [21,22,23]. However, more research is needed to fully understand this complex relationship.
There has been a third influential factor detected in individuals with schizophrenia that potentially could be linked to lower cancer risk, as suggested by Raviv et al. [24]. This factor lies in the comparatively low level of sexual activity amongst individuals with schizophrenia. According to Cournos et al. and Yang et al. this reduced sexual activity is attributable to several factors [25,26]. In a systematic review, Meade and Sikkema found that individuals with severe mental disorders, including schizophrenia, have fewer sexual partners than the general population [27]. Furthermore, research by Grabovac et al. indicates a positive correlation between the number of sexual partners and the odds of developing cancer [28]. Therefore, it is reasonable to suggest that the lower numbers of sexual partners in individuals with schizophrenia could be an influential factor or a confounding variable to the lower incidence of cancer observed in this population. However, more research is needed to confirm this hypothesis.
In general, individuals with schizophrenia show significant medical comorbidity [29] and are also known to have a relatively high prevalence of cancer-related risk factors. Those include tobacco consumption, alcohol dependence, obesity, lack of physical exercise and unhealthy diet [30]. Against our expectations and despite the fact that patients with psychiatric disorders are often heavy smokers [8], there was no association shown between schizophrenia and lung cancer risk in our study, although we did not control for tobacco smoke.
Even though our study indicates that individuals with schizophrenia, especially men, are less likely to develop certain types of cancer such as prostate and colorectal cancer compared to the general population, it is crucial to understand that this population is still vulnerable when it comes to cancer. They are confronted with a higher mortality rate, with a pooled standardized mortality ratio of 1.4 [30] and a worse prognosis for cancer [4,31,32]. It is a consequence of factors including unhealthy lifestyle factors, poor overall health with comorbidities like cardiovascular diseases and depression, side effects of antipsychotic medication, suicide, and inadequate medical care. The inadequate medical care comprises screening, diagnosis, and treatment [33]. Individuals with psychotic disorders, for instance, are 22% more likely to have metastases at the time of diagnosis compared to those without psychotic disorders [34]. Moreover, nearly half of the patients with schizophrenia also suffer from major depressive disorder, which is often poorly screened and treated due to its symptoms being confused with the negative symptoms of schizophrenia [35].
The instances highlighted above underscore the complexity of schizophrenia’s clinical profile. As such, healthcare professionals working with individuals with schizophrenia need to be aware of these unique risk factors. There is a pressing need for public health initiatives to focus on targeted interventions to enhance cancer screening and treatment in patients with schizophrenia. The discussed associations are potential factors, and more research is needed to fully understand these relationships and the protective factors against cancer in patients with schizophrenia. This knowledge could possibly also be applied to other populations to aid in the prevention and treatment of cancer.

5. Limitations

The present study has several limitations that warrant acknowledgment. Firstly, the retrospective design generally has drawbacks due to the reliance on pre-existing data, which was not collected with the specific research question in mind. This means that the study could not control for lifestyle factors such as tobacco or alcohol consumption, nor does it provide information on medication use, family status, or mortality, as the Disease Analyzer does not include these variables. Additionally, the reliance solely on the ICD-10 classification for diagnoses and co-diagnoses means that no information was available on the disease severity of patients with schizophrenia. Furthermore, the dataset only includes information from an outpatient setting, which limits the transfer to inpatient data. Finally, since patients are only visible in one specialty group and cannot be tracked across other specialties or inpatient settings, records of diagnoses from other settings cannot be avoided.

6. Conclusions

This study demonstrates negative associations between schizophrenia and subsequent cancer, and more specifically in men for prostate and colorectal cancer. Despite the observed lower incidence of cancer among individuals with schizophrenia, this population remains particularly vulnerable to cancer due to a higher mortality rate that is influenced by numerous factors such as schizophrenia-specific symptoms and comorbidities. Therefore, further research is required to explore the underlying reasons for the associations observed in this study.

Author Contributions

I.R.: conceptualization, formal analysis, methodology, writing—original draft; K.K.: conceptualization, methodology, writing—review and editing; C.V.: validation, writing—review and editing; A.H.: writing—review and editing; M.K.: writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Informed Consent Statement

Patient data were analyzed in aggregated form without individual health data being available. Therefore, individual informed consent was not obtained.

Data Availability Statement

The data and the code used for this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

Ira Rodemer, Céline Vetter, and Karel Kostev are from IQVIA, the other authors declare no conflicts of interest.

References

  1. Charlson, F.J.; Ferrari, A.J.; Santomauro, D.F.; Diminic, S.; Stockings, E.; Scott, J.G.; McGrath, J.J.; Whiteford, H.A. Global Epidemiology and Burden of Schizophrenia: Findings From the Global Burden of Disease Study 2016. Schizophr. Bull. 2018, 44, 1195–1203. [Google Scholar] [CrossRef] [PubMed]
  2. Brown, S.; Kim, M.; Mitchell, C.; Inskip, H. Twenty five year mortality of a community cohort with schizophrenia. Br. J. Psychiatry J. Ment. Sci. 2010, 196, 116–121. [Google Scholar] [CrossRef] [PubMed]
  3. Grassi, L.; McFarland, D.; Riba, M. The Risk and The Course of Cancer Among People with Severe Mental Illness. Clin. Pract. Epidemiol. Ment. Heal. CP EMH 2023, 19 (Suppl. S1), e174501792301032. [Google Scholar] [CrossRef]
  4. Ni, L.; Wu, J.; Long, Y.; Tao, J.; Xu, J.; Yuan, X.; Yu, N.; Wu, R.; Zhang, Y. Mortality of site-specific cancer in patients with schizophrenia: A systematic review and meta-analysis. BMC Psychiatry 2019, 19, 323. [Google Scholar] [CrossRef] [PubMed]
  5. Chong, H.Y.; Teoh, S.L.; Wu, D.B.-C.; Kotirum, S.; Chiou, C.-F.; Chaiyakunapruk, N. Global economic burden of schizophrenia: A systematic review. Neuropsychiatr. Dis. Treat. 2016, 12, 357–373. [Google Scholar] [CrossRef]
  6. Millier, A.; Schmidt, U.; Angermeyer, M.C.; Chauhan, D.; Murthy, V.; Toumi, M.; Cadi-Soussi, N. Humanistic burden in schizophrenia: A literature review. J. Psychiatr. Res. 2014, 54, 85–93. [Google Scholar] [CrossRef]
  7. Fond, G.; Falissard, B.; Nuss, P.; Collin, C.; Duret, S.; Rabbani, M.; De Chefdebien, I.; Tonelli, I.; Llorca, P.M.; Boyer, L. How can we improve the care of patients with schizophrenia in the real-world? A population-based cohort study of 456,003 patients. Mol. Psychiatry 2023, 28, 5328–5336. [Google Scholar] [CrossRef]
  8. Ohi, K.; Shimada, T.; Kuwata, A.; Kataoka, Y.; Okubo, H.; Kimura, K.; Yasuyama, T.; Uehara, T.; Kawasaki, Y. Smoking Rates and Number of Cigarettes Smoked per Day in Schizophrenia: A Large Cohort Meta-Analysis in a Japanese Population. Int. J. Neuropsychopharmacol. 2019, 22, 19–27. [Google Scholar] [CrossRef]
  9. Rathmann, W.; Bongaerts, B.; Carius, H.-J.; Kruppert, S.; Kostev, K. Basic characteristics and representativeness of the German Disease Analyzer database. Int. J. Clin. Pharmacol. Ther. 2018, 56, 459–466. [Google Scholar] [CrossRef]
  10. Krieg, S.; Krieg, A.; Loosen, S.H.; Roderburg, C.; Kostev, K. Cancer Risk in Patients with Down Syndrome—A Retrospective Cohort Study from Germany. Cancers 2024, 16, 6. [Google Scholar] [CrossRef]
  11. Roderburg, C.; Loosen, S.H.; Joerdens, M.S.; Demir, M.; Luedde, T.; Kostev, K. Antibiotic therapy is associated with an increased incidence of cancer. J. Cancer Res. Clin. Oncol. 2023, 149, 1285–1293. [Google Scholar] [CrossRef] [PubMed]
  12. You, S.C.; Seo, S.I.; Falconer, T.; Yanover, C.; Duarte-Salles, T.; Seager, S.; Posada, J.D.; Shah, N.H.; Nguyen, P.-A.; Kim, Y.; et al. Ranitidine Use and Incident Cancer in a Multinational Cohort. JAMA Netw. Open 2023, 6, e2333495. [Google Scholar] [CrossRef] [PubMed]
  13. Quan, H.; Sundararajan, V.; Halfon, P.; Fong, A.; Burnand, B.; Luthi, J.-C.; Saunders, L.D.; Beck, C.A.; Feasby, T.E.; Ghali, W.A. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med. Care 2005, 43, 1130–1139. [Google Scholar] [CrossRef] [PubMed]
  14. Huang, K.-C.; Yang, K.-C.; Lin, H.; Tsao Tsun-Hui, T.; Lee, W.-K.; Lee, S.-A.; Kao, C.-Y. Analysis of schizophrenia and hepatocellular carcinoma genetic network with corresponding modularity and pathways: Novel insights to the immune system. BMC Genom. 2013, 14 (Suppl. S5), S10. [Google Scholar] [CrossRef]
  15. Özbey, U.; Yüce, H.; Namli, M.; Elkiran, T. Investigation of Differences in P53 Gene Polymorphisms between Schizophrenia and Lung Cancer Patients in the Turkish Population. Genet. Res. Int. 2011, 2011, 483851. [Google Scholar] [CrossRef]
  16. Wang, Y.; Wang, L.; Li, X.; Liu, B.; Zhao, Q.; Chen, P.; Wang, T.; Li, T.; Ji, J.; Yang, F.; et al. Polymorphisms of XRCC4 are involved in reduced colorectal cancer risk in Chinese schizophrenia patients. BMC Cancer 2010, 10, 523. [Google Scholar] [CrossRef]
  17. Zhuo, C.; Wang, D.; Zhou, C.; Chen, C.; Li, J.; Tian, H.; Li, S.; Ji, F.; Liu, C.; Chen, M.; et al. Double-Edged Sword of Tumour Suppressor Genes in Schizophrenia. Front. Mol. Neurosci. 2019, 12, 1. [Google Scholar] [CrossRef]
  18. Ji, J.; Sundquist, K.; Ning, Y.; Kendler, K.S.; Sundquist, J.; Chen, X. Incidence of cancer in patients with schizophrenia and their first-degree relatives: A population-based study in Sweden. Schizophr. Bull. 2013, 39, 527–536. [Google Scholar] [CrossRef]
  19. Lähteenvuo, M.; Tiihonen, J. Antipsychotic Polypharmacy for the Management of Schizophrenia: Evidence and Recommendations. Drugs 2021, 81, 1273–1284. [Google Scholar] [CrossRef]
  20. Taipale, H.; Solmi, M.; Lähteenvuo, M.; Tanskanen, A.; Correll, C.U.; Tiihonen, J. Antipsychotic use and risk of breast cancer in women with schizophrenia: A nationwide nested case-control study in Finland. Lancet Psychiatry 2021, 8, 883–891. [Google Scholar] [CrossRef]
  21. Chen, J.-J.; Cai, N.; Chen, G.-Z.; Jia, C.-C.; Qiu, D.-B.; Du, C.; Liu, W.; Yang, Y.; Long, Z.-J.; Zhang, Q. The neuroleptic drug pimozide inhibits stem-like cell maintenance and tumorigenicity in hepatocellular carcinoma. Oncotarget 2017, 8, 17593–17609. [Google Scholar] [CrossRef] [PubMed]
  22. Huang, J.; Zhao, D.; Liu, Z.; Liu, F. Repurposing psychiatric drugs as anti-cancer agents. Cancer Lett. 2018, 419, 257–265. [Google Scholar] [CrossRef]
  23. Spengler, G.; Csonka, Á.; Molnár, J.; Amaral, L. The Anticancer Activity of the Old Neuroleptic Phenothiazine-type Drug Thioridazine. Anticancer Res. 2016, 36, 5701–5706. [Google Scholar] [CrossRef] [PubMed]
  24. Raviv, G.; Laufer, M.; Baruch, Y.; Barak, Y. Risk of prostate cancer in patients with schizophrenia. Compr. Psychiatry 2014, 55, 1639–1642. [Google Scholar] [CrossRef] [PubMed]
  25. Yang, J.; Yu, K.; Wang, X.; Wang, Y.; Zhang, C.-C.; Ma, R.; Yu, H.; Zhou, Y. Sexual needs of people with schizophrenia: A descriptive phenomenological study. BMC Psychiatry 2023, 23, 147. [Google Scholar] [CrossRef] [PubMed]
  26. Cournos, F.; McKinnon, K.; Sullivan, G. Schizophrenia and comorbid human immunodeficiency virus or hepatitis C virus. J. Clin. Psychiatry 2005, 66 (Suppl. S6), 27–33. [Google Scholar]
  27. Meade, C.S.; Sikkema, K.J. HIV risk behavior among adults with severe mental illness: A systematic review. Clin. Psychol. Rev. 2005, 25, 433–457. [Google Scholar] [CrossRef]
  28. Grabovac, I.; Smith, L.; Yang, L.; Soysal, P.; Veronese, N.; Turan Isik, A.; Forwood, S.; Jackson, S. The relationship between chronic diseases and number of sexual partners: An exploratory analysis. BMJ Sex. Reprod. Health 2020, 46, 100–107. [Google Scholar] [CrossRef]
  29. Irwin, K.E.; Henderson, D.C.; Knight, H.P.; Pirl, W.F. Cancer care for individuals with schizophrenia. Cancer 2014, 120, 323–334. [Google Scholar] [CrossRef]
  30. Xu, D.; Chen, G.; Kong, L.; Zhang, W.; Hu, L.; Chen, C.; Li, J.; Zhuo, C. Lower risk of liver cancer in patients with schizophrenia: A systematic review and meta-analysis of cohort studies. Oncotarget 2017, 8, 102328–102335. [Google Scholar] [CrossRef]
  31. Saha, S.; Chant, D.; McGrath, J. A systematic review of mortality in schizophrenia: Is the differential mortality gap worsening over time? Arch. Gen. Psychiatry 2007, 64, 1123–1131. [Google Scholar] [CrossRef] [PubMed]
  32. Zhuo, C.; Tao, R.; Jiang, R.; Lin, X.; Shao, M. Cancer mortality in patients with schizophrenia: Systematic review and meta-analysis. Br. J. Psychiatry J. Ment. Sci. 2017, 211, 7–13. [Google Scholar] [CrossRef] [PubMed]
  33. Solmi, M.; Correll, C.U. Evidence-based clinical care and policy making for schizophrenia. Nat. Rev. Neurol. 2023, 19, 643–644. [Google Scholar] [CrossRef]
  34. Wootten, J.C.; Wiener, J.C.; Blanchette, P.S.; Anderson, K.K. Cancer incidence and stage at diagnosis among people with psychotic disorders: Systematic review and meta-analysis. Cancer Epidemiol. 2022, 80, 102233. [Google Scholar] [CrossRef] [PubMed]
  35. Fond, G.; Boyer, L.; Berna, F.; Godin, O.; Bulzacka, E.; Andrianarisoa, M.; Brunel, L.; Aouizerate, B.; Capdevielle, D.; Chereau, I.; et al. Remission of depression in patients with schizophrenia and comorbid major depressive disorder: Results from the FACE-SZ cohort. Br. J. Psychiatry J. Ment. Sci. 2018, 213, 464–470. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Selection of study patients.
Figure 1. Selection of study patients.
Ejihpe 14 00194 g001
Figure 2. Cumulative incidence of cancer in patients with and without schizophrenia, log-rank test to analyze survival of schizophrenia cohort vs. non-schizophrenia cohort. (A) All patients. (B) Women. (C) Men.
Figure 2. Cumulative incidence of cancer in patients with and without schizophrenia, log-rank test to analyze survival of schizophrenia cohort vs. non-schizophrenia cohort. (A) All patients. (B) Women. (C) Men.
Ejihpe 14 00194 g002
Table 1. Baseline characteristics of the study sample (after 1:5 propensity score matching).
Table 1. Baseline characteristics of the study sample (after 1:5 propensity score matching).
Variable Patients with Schizophrenia (N, %)Patients Without Schizophrenia (N, %)p-Value 1
N = 13,711N = 68,555
Age (in years)Mean (SD)52.3 (18.0)52.5 (17.9)0.498
18–403945 (28.8)19.480 (28.4)0.322
41–502513 (18.3)12.233 (17.8)
51–602786 (20.3)13.933 (20.3)
61–702012 (14.7)10.222 (14.9)
>702455 (17.9)12.687 (18.5)
SexFemale6880 (50.2)34.355 (50.1)0.888
Male6831 (49.8)34.200 (49.9)
Annual physician visits during follow-up periodMean (SD)6.9 (4.7)6.9 (4.7)0.127
Charlson Comorbidity Index (CCI)Mean (SD)1.6 (1.9)1.5 (1.8)0.003
CCI 05267 (38.4)26.706 (39.0)0.003
CCI 12992 (21.8)15.376 (22.4)
CCI 22169 (15.8)10.995 (16.0)
CCI >23283 (24.0)15.478 (22.6)
Index year2005–20071028 (7.5)5149 (7.5)0.809
2008–20101182 (8.6)6092 (8.9)
2011–20131830 (13.4)9053 (13.2)
2014–20162526 (18.4)12.357 (18.0)
2017–20193395 (24.8)17.011 (24.8)
2020–20223750 (27.3)18.893 (27.6)
Proportions of patients in N, % given, unless otherwise indicated. SD: standard deviation. 1 Wilcoxon signed-rank test for continuous variables, McNemar test for categorical variables with two categories, and the Stuart–Maxwell test for categorical variables with more than two categories.
Table 2. Association between schizophrenia and subsequent cancer diagnosis in patients seen by general practitioners in Germany.
Table 2. Association between schizophrenia and subsequent cancer diagnosis in patients seen by general practitioners in Germany.
All PatientsWomenMen
Cancer DiagnosisHR (95% CI)p-Value 1HR (95% CI)p-Value 1HR (95% CI)p-Value 1
Cancer total0.82 (0.76–0.90)<0.0010.94 (0.84–1.04)0.2330.70 (0.61–0.80)<0.001
Esophagus/stomach0.70 (0.43–1.15)0.1620.54 (0.23–1.26)0.1520.83 (0.45–1.52)0.538
Colon/rectum0.85 (0.63–1.13)0.2601.15 (0.79–1.67)0.4630.58 (0.37–0.93)0.023
Pancreas0.77 (0.44–1.32)0.3380.66 (0.30–1.45)0.2980.90 (0.42–1.91)0.775
Bronchus/lung0.88 (0.66–1.18)0.3920.94 (0.62–1.43)0.7790.83 (0.56–1.24)0.365
Skin0.60 (0.34–1.04)0.0700.70 (0.35–1.41)0.3180.47 (0.19–1.19)0.112
Lymphomas0.90 (0.59–1.35)0.5960.98 (0.57–1.67)0.9330.80 (0.42–1.51)0.482
Leukemias0.60 (0.32–1.11)0.1050.42 (0.15–1.16)0.0940.79 (0.35–1.76)0.563
Prostate 0.38 (0.24–0.61)<0.001
Female breast 0.88 (0.69–1.12)0.293
Female genital organs 1.17 (0.83–1.67)0.371
1 univariate Cox regression analysis with likelihood chi-square statistic. HR: Hazard Ratio. CI: confidence interval.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Rodemer, I.; Vetter, C.; Kalder, M.; Hajek, A.; Kostev, K. Negative Association Between Schizophrenia and Subsequent Cancer Diagnoses—A Retrospective Cohort Study from Germany. Eur. J. Investig. Health Psychol. Educ. 2024, 14, 2957-2965. https://doi.org/10.3390/ejihpe14120194

AMA Style

Rodemer I, Vetter C, Kalder M, Hajek A, Kostev K. Negative Association Between Schizophrenia and Subsequent Cancer Diagnoses—A Retrospective Cohort Study from Germany. European Journal of Investigation in Health, Psychology and Education. 2024; 14(12):2957-2965. https://doi.org/10.3390/ejihpe14120194

Chicago/Turabian Style

Rodemer, Ira, Céline Vetter, Matthias Kalder, André Hajek, and Karel Kostev. 2024. "Negative Association Between Schizophrenia and Subsequent Cancer Diagnoses—A Retrospective Cohort Study from Germany" European Journal of Investigation in Health, Psychology and Education 14, no. 12: 2957-2965. https://doi.org/10.3390/ejihpe14120194

APA Style

Rodemer, I., Vetter, C., Kalder, M., Hajek, A., & Kostev, K. (2024). Negative Association Between Schizophrenia and Subsequent Cancer Diagnoses—A Retrospective Cohort Study from Germany. European Journal of Investigation in Health, Psychology and Education, 14(12), 2957-2965. https://doi.org/10.3390/ejihpe14120194

Article Metrics

Back to TopTop