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Impact of mental disorders on clinical outcomes of physical diseases: an umbrella review assessing population attributable fraction and generalized impact fraction
DC Field | Value | Language |
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dc.contributor.author | 신재일 | - |
dc.date.accessioned | 2024-01-31T05:46:04Z | - |
dc.date.available | 2024-01-31T05:46:04Z | - |
dc.date.issued | 2023-02 | - |
dc.identifier.issn | 1723-8617 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/197888 | - |
dc.description.abstract | Empirical evidence indicates a significant bidirectional association between mental disorders and physical diseases, but the prospective impact of mental disorders on clinical outcomes of physical diseases has not been comprehensively outlined. In this PRISMA- and COSMOS-E-compliant umbrella review, we searched PubMed, PsycINFO, Embase, and Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, up to March 15, 2022, to identify systematic reviews with meta-analysis that examined the prospective association between any mental disorder and clinical outcomes of physical diseases. Primary outcomes were disease-specific mortality and all-cause mortality. Secondary outcomes were disease-specific incidence, functioning and/or disability, symptom severity, quality of life, recurrence or progression, major cardiac events, and treatment-related outcomes. Additional inclusion criteria were further applied to primary studies. Random effect models were employed, along with I2 statistic, 95% prediction intervals, small-study effects test, excess significance bias test, and risk of bias (ROBIS) assessment. Associations were classified into five credibility classes of evidence (I to IV and non-significant) according to established criteria, complemented by sensitivity and subgroup analyses to examine the robustness of the main analysis. Statistical analysis was performed using a new package for conducting umbrella reviews (https://metaumbrella.org). Population attributable fraction (PAF) and generalized impact fraction (GIF) were then calculated for class I-III associations. Forty-seven systematic reviews with meta-analysis, encompassing 251 non-overlapping primary studies and reporting 74 associations, were included (68% were at low risk of bias at the ROBIS assessment). Altogether, 43 primary outcomes (disease-specific mortality: n=17; all-cause mortality: n=26) and 31 secondary outcomes were investigated. Although 72% of associations were statistically significant (p<0.05), only two showed convincing (class I) evidence: that between depressive disorders and all-cause mortality in patients with heart failure (hazard ratio, HR=1.44, 95% CI: 1.26-1.65), and that between schizophrenia and cardiovascular mortality in patients with cardiovascular diseases (risk ratio, RR=1.54, 95% CI: 1.36-1.75). Six associations showed highly suggestive (class II) evidence: those between depressive disorders and all-cause mortality in patients with diabetes mellitus (HR=2.84, 95% CI: 2.00-4.03) and with kidney failure (HR=1.41, 95% CI: 1.31-1.51); that between depressive disorders and major cardiac events in patients with myocardial infarction (odds ratio, OR=1.52, 95% CI: 1.36-1.70); that between depressive disorders and dementia in patients with diabetes mellitus (HR=2.11, 95% CI: 1.77-2.52); that between alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C (RR=3.15, 95% CI: 2.87-3.46); and that between schizophrenia and cancer mortality in patients with cancer (standardized mean ratio, SMR=1.74, 95% CI: 1.41-2.15). Sensitivity/subgroup analyses confirmed these results. The largest PAFs were 30.56% (95% CI: 27.67-33.49) for alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C, 26.81% (95% CI: 16.61-37.67) for depressive disorders and all-cause mortality in patients with diabetes mellitus, 13.68% (95% CI: 9.87-17.58) for depressive disorders and major cardiac events in patients with myocardial infarction, 11.99% (95% CI: 8.29-15.84) for schizophrenia and cardiovascular mortality in patients with cardiovascular diseases, and 11.59% (95% CI: 9.09-14.14) for depressive disorders and all-cause mortality in patients with kidney failure. The GIFs confirmed the preventive capacity of these associations. This umbrella review demonstrates that mental disorders increase the risk of a poor clinical outcome in several physical diseases. Prevention targeting mental disorders – particularly alcohol use disorders, depressive disorders, and schizophrenia – can reduce the incidence of adverse clinical outcomes in people with physical diseases. These findings can inform clinical practice and trans-speciality preventive approaches cutting across psychiatric and somatic medicine. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.language | English | - |
dc.publisher | Masson Italy | - |
dc.relation.isPartOf | WORLD PSYCHIATRY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Impact of mental disorders on clinical outcomes of physical diseases: an umbrella review assessing population attributable fraction and generalized impact fraction | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Pediatrics (소아과학교실) | - |
dc.contributor.googleauthor | Elena Dragioti | - |
dc.contributor.googleauthor | Joaquim Radua | - |
dc.contributor.googleauthor | Marco Solmi | - |
dc.contributor.googleauthor | Corentin J Gosling | - |
dc.contributor.googleauthor | Dominic Oliver | - |
dc.contributor.googleauthor | Filippo Lascialfari | - |
dc.contributor.googleauthor | Muhammad Ahmed | - |
dc.contributor.googleauthor | Samuele Cortese | - |
dc.contributor.googleauthor | Andrés Estradé | - |
dc.contributor.googleauthor | Gonzalo Arrondo | - |
dc.contributor.googleauthor | Mary Gouva | - |
dc.contributor.googleauthor | Michele Fornaro | - |
dc.contributor.googleauthor | Agapi Batiridou | - |
dc.contributor.googleauthor | Konstantina Dimou | - |
dc.contributor.googleauthor | Dimitrios Tsartsalis | - |
dc.contributor.googleauthor | Andre F Carvalho | - |
dc.contributor.googleauthor | Jae Il Shin | - |
dc.contributor.googleauthor | Michael Berk | - |
dc.contributor.googleauthor | Silvia Stringhini | - |
dc.contributor.googleauthor | Christoph U Correll | - |
dc.contributor.googleauthor | Paolo Fusar-Poli | - |
dc.identifier.doi | 10.1002/wps.21068 | - |
dc.contributor.localId | A02142 | - |
dc.relation.journalcode | J04303 | - |
dc.identifier.eissn | 2051-5545 | - |
dc.identifier.pmid | 36640414 | - |
dc.subject.keyword | Mental disorders | - |
dc.subject.keyword | all-cause mortality | - |
dc.subject.keyword | disease-specific mortality | - |
dc.subject.keyword | outcomes | - |
dc.subject.keyword | physical diseases | - |
dc.subject.keyword | trans-speciality prevention | - |
dc.contributor.alternativeName | Shin, Jae Il | - |
dc.contributor.affiliatedAuthor | 신재일 | - |
dc.citation.volume | 22 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 86 | - |
dc.citation.endPage | 104 | - |
dc.identifier.bibliographicCitation | WORLD PSYCHIATRY, Vol.22(1) : 86-104, 2023-02 | - |
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