Risk of metabolic syndrome and its components in people with schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder: a systematic review and meta‐analysis
Open accessAbstract
Metabolic syndrome (MetS) and its components are highly predictive of cardiovascular diseases. The primary aim of this systematic review and meta‐analysis was to assess the prevalence of MetS and its components in people with schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder, comparing subjects with different disorders and taking into account demographic variables and psychotropic medication use. The secondary aim was to compare the MetS prevalence in persons with any of the selected disorders versus matched general population controls. The pooled MetS prevalence in people with severe mental illness was 32.6% (95% CI: 30.8%‐34.4%; N = 198; n = 52,678). Relative risk meta‐analyses established that there was no significant difference in MetS prevalence in studies directly comparing schizophrenia versus bipolar disorder, and in those directly comparing bipolar disorder versus major depressive disorder. Only two studies directly compared people with schizophrenia and major depressive disorder, precluding meta‐analytic calculations. Older age and a higher body mass index were significant moderators in the final demographic regression model (z = −3.6, p = 0.0003, r 2 = 0.19). People treated with all individual antipsychotic medications had a significantly (p<0.001) higher MetS risk compared to antipsychotic‐naïve participants. MetS risk was significantly higher with clozapine and olanzapine (except vs. clozapine) than other antipsychotics, and significantly lower with aripiprazole than other antipsychotics (except vs. amisulpride). Compared with matched general population controls, people with severe mental illness had a significantly increased risk for MetS (RR = 1.58; 95% CI: 1.35‐1.86; p<0.001) and all its components, except for hypertension (p = 0.07). These data suggest that the risk for MetS is similarly elevated in the diagnostic subgroups of severe mental illness. Routine screening and multidisciplinary management of medical and behavioral conditions is needed in these patients. Risks of individual antipsychotics should be considered when making treatment choices.
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TL;DR
This systematic review and meta-analysis found that metabolic syndrome (MetS) affects about one third of people with severe mental illness and is elevated versus matched general population controls. Risk was similar across schizophrenia, bipolar disorder, and major depressive disorder, but differed by age, body mass index, and individual antipsychotic medication.
Key findings
- Pooled MetS prevalence in people with severe mental illness was 32.6% (95% CI: 30.8%–34.4%; N=198; n=52,678), and compared with matched general population controls the relative risk was 1.58 (95% CI: 1.35–1.86; p<0.001).
- MetS prevalence did not differ significantly in direct comparisons of schizophrenia versus bipolar disorder (RR=0.92, 95% CI: 0.79–1.06; p=0.24) or bipolar disorder versus major depressive disorder (RR=0.87, 95% CI: 0.48–1.55; p=0.64); only two studies directly compared schizophrenia and major depressive disorder, precluding meta-analysis.
- Older age and higher body mass index were significant moderators in the final demographic regression model (z=23.6, p=0.0003, r²=0.19).
- Among antipsychotics, MetS prevalence was lowest for aripiprazole (19.4%, 95% CI: 8.0%–34.2%) and highest for clozapine (47.2%, 95% CI: 42.0%–52.6%); antipsychotic-naïve participants had 10.2% (95% CI: 6.8%–14.3%). Compared with controls, risk was increased for all MetS components except hypertension, which showed a statistical trend (RR=1.12, 95% CI: 0.99–1.28; p=0.07).
Methods
- Systematic review and meta-analysis conducted according to MOOSE and PRISMA, searching MEDLINE, PsycARTICLES, EMBASE, and CINAHL from database inception to January 1, 2015.
- Included observational studies in adults with DSM-IV/ICD-10 diagnoses of schizophrenia or related psychotic disorders, bipolar disorder, or major depressive disorder, and MetS defined by non-modified ATP-III, ATP-III-A, IDF, or WHO criteria; 198 studies with 52,678 unique persons with severe mental illness were included.
- Pooled prevalence used the DerSimonian-Laird random-effects proportion method; relative risks were calculated for MetS and its components within and across diagnostic subgroups and versus matched general population controls, with meta-regression for moderators.
Limitations
- The paper states considerable methodological heterogeneity across studies; cross-sectional data meant directionality of medication–metabolic associations could not be deduced with certainty; clinical subtypes and concomitant or previous antidepressant/mood stabilizer use were often insufficiently reported or controlled; publication bias and heterogeneity were encountered, though main findings were robust after trim-and-fill adjustment; and inadequate data on ethnicity and lifestyle behaviors precluded meta-analytic assessment of these factors.
- Evident from the text: there were no data in first-episode bipolar disorder or major depressive disorder patients, precluding comparison with multi-episode patients, and only two studies directly compared schizophrenia and major depressive disorder.
- Evident from the text: illness duration was a significant predictor in separate meta-regression but not in the final model, which the authors note may be due to limited data available for illness duration compared with age.
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Claims the paper makes
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- Findingown data
Metabolic syndrome risk was significantly higher with olanzapine than with other antipsychotics except clozapine.
“MetS risk was significantly higher with clozapine and olanzapine (except vs. clozapine) than other antipsychotics, and”
- Also stated in: § Medication use · plain
“Those treated with olanzapine had significantly higher MetS prevalence than those treated with amisulpride (p<0.05),aripiprazole (p<0.001),risperidone (p<0.01) and typical antipsychotic medications (p<0.05).”
Quote in the paperSubstantial claim - Also stated in: § Medication use · plain
- Findingown data
People with severe mental illness had significantly increased risk for hyperglycaemia compared with general population controls (RR=1.51, 95% CI 1.24-1.84, p<0.001).
“hyperglycaemia (N 5 20; RR 5 1.51, 95% CI: 1.24-1.84,p<0.001;Q 5 94.4,p<0.001)”
Quote in the paperSubstantial claim - Findingown data
Compared with matched general population controls, people with severe mental illness had a significantly increased risk for metabolic syndrome (RR=1.58; 95% CI 1.35-1.86; p<0.001).
“Compared with matched general population controls, people with severe mental illness had a significantly increased risk for MetS (RR 5 1.58; 95% CI: 1.35-1.86;p<0.001) and all its components, except for hypertension (p 5 0.07).”
- Also stated in: § Risk of metabolic syndrome and its components in persons with various disorders compared with general population controls · plain
“In a pooled relative risk metaanalysis, persons with SMIs (n 5 6,610; 29.2%, 95% CI: 25.9%-32.6%;Q 5 230, p<0.001), compared with general population controls (n 5 101,223; 18.1%, 95% CI: 15.8%-20.5%,Q 5 230, p<0.001), had significantly increased risk of MetS (RR 5 1.58, 95% CI: 1.35-1.86,p<0.001;Q 5 62, p 5 0.003).”
Quote in the paperSubstantial claim - Also stated in: § Risk of metabolic syndrome and its components in persons with various disorders compared with general population controls · plain
- Findingown data
People with severe mental illness had significantly increased risk for low HDL cholesterol compared with general population controls (RR=1.33, 95% CI 1.15-1.54, p<0.001).
“low HDL cholesterol (N 5 19; RR 5 1.33, 95% CI: 1.15-1.54,p<0.001;Q 5 114.7, p<0.001)”
Quote in the paperSubstantial claim - Findingown data
People with severe mental illness had significantly increased risk for abdominal obesity compared with general population controls (RR=1.43, 95% CI 1.23-1.66, p<0.001).
“People with severe mental illness had significantly increased risk for abdominal obesity (N 5 18; RR 5 1.43, 95% CI: 1.23-1.66,p<0.001;Q 5 198.8, p<0.001)”
Quote in the paperSubstantial claim
- Findingown data
There was no significant difference in metabolic syndrome prevalence in studies directly comparing schizophrenia versus bipolar disorder.
“Relative risk meta-analyses established that there was no significant difference in MetS prevalence in studies directly comparing schizophrenia versus bipolar disorder, and in those directly comparing bipolar disorder versus major depressive disorder.”
- Also stated in: § Diagnostic subgroups · boosted
“Relative risk meta-analyses established that there was no significant difference in MetS in studies directly comparing schizophrenia (39.2%, 95% CI: 30.5%-48.3%;n 5 2,338) versus bipolar disorder (35.5%, 95% CI: 27.0-44.3%;n 5 2,077) (N 5 10, RR 5 0.92, 95% CI: 0.79%-1.06%;v 2 5 1.33, p 5 0.24; Q 5 21.3, p<0.011).”
Quote in the paperSubstantial claim - Also stated in: § Diagnostic subgroups · boosted
- Findingown data
People treated with all individual antipsychotic medications had significantly higher metabolic syndrome risk compared to antipsychotic-naive participants.
“People treated with all individual antipsychotic medications had a significantly (p<0.001) higher MetS risk compared to antipsychotic-na€ ıve participants.”
- Also stated in: § Medication use · plain
“Patients treated with all individual antipsychotic medications had significantly (p<0.001) higher MetS risk compared to antipsychotic-na€ ıve participants.”
Quote in the paperSubstantial claim - Also stated in: § Medication use · plain
- Findingown data
People with severe mental illness had significantly increased risk for hypertriglyceridemia compared with general population controls (RR=1.49, 95% CI 1.28-1.73, p<0.001).
“hypertriglyceridemia (N 5 19; RR 5 1.49, 95% CI: 1.28-1.73,p<0.001;Q 5 91.2, p< 0.001)”
Quote in the paperSubstantial claim - Findingown data
Older age and higher body mass index were significant moderators in the final demographic regression model (z=23.6, p=0.0003, r2=0.19).
“Older age and a higher body mass index were significant moderators in the final demographic regression model (z 5 23.6, p 5 0.0003, r 2 5 0.19).”
- Also stated in: § Demographic variables · plain
“Overall, the final model was a significant predictor of the variance in MetS (z 5 23.6, p 5 0.0003; r 2 5 0.19).”
Quote in the paperNot a substantial claim - Also stated in: § Demographic variables · plain
- Findingown data
People with severe mental illness had a statistical trend for increased risk of hypertension compared with general population controls (RR=1.12, 95% CI 0.99-1.28, p=0.07).
“with a statistical trend for hypertension (N 5 12; RR 5 1.12, 95% CI: 0.99-1.28,p 5 0.07; Q 5 127.1, p<0.001).”
Quote in the paperNot a substantial claim - Findingown data
Metabolic syndrome risk was significantly lower with aripiprazole than with other antipsychotics except amisulpride.
“significantly lower with aripiprazole than other antipsychotics (except vs. amisulpride).”
- Also stated in: § Medication use · plain
“Those treated with aripiprazole had significantly lower odds of MetS compared to other antipsychotic medications (except vs. amisulpride).”
Quote in the paperSubstantial claim - Also stated in: § Medication use · plain
- Findingown data
Metabolic syndrome risk was significantly higher with clozapine than with other antipsychotics.
“Those treated with clozapine consistently had significantly (p<0.001) higher MetS prevalence than those treated with any other individual antipsychotic medication.”
Quote in the paperSubstantial claim - Findingown data
There was no significant difference in metabolic syndrome prevalence in studies directly comparing bipolar disorder versus major depressive disorder.
“Similarly, there were no differences in the study directly comparing bipolar disorder (29.2%, 95% CI: 14.5%-46.2%;n 5 137) versus major depressive disorder (34.0%, 95% CI: 19.4%-50.3%;n 5 176) (N 5 4; RR 5 0.87, 95% CI: 0.48-1.55;v 2 5 0.21, p 5 0.64; Q 5 7.73, p 5 0.0518).”
Quote in the paperNot a substantial claim - Findingown data
The pooled prevalence of metabolic syndrome in people with severe mental illness was 32.6% (95% CI 30.8-34.4; N=198; n=52,678).
“The pooled MetS prevalence in people with severe mental illness was 32.6% (95% CI: 30.8%-34.4%;N 5 198; n 5 52,678).”
- Also stated in: § Prevalence of metabolic syndrome and its components · hedged
“The estimated weighted mean prevalence of MetS was 32.6% (95% CI: 30.8%-34.4%,Q 5 3696, p<0.001, n5 52,678).”
Quote in the paperSubstantial claim - Also stated in: § Prevalence of metabolic syndrome and its components · hedged
- Findingown data
The relative risk of metabolic syndrome versus age-and gender-matched healthy controls was 1.87 in schizophrenia and related psychotic disorders (95% CI 1.53-2.29; p<0.001).
“The releative risk of MetS versus age-and gender-matched healthy controls was 1.87 in schizophrenia and related psychotic disorders (95% CI: 1.53-2.29;p<0.001,Q 5 18.3, p 5 0.03; N 5 11, n 5 1,413)”
Quote in the paperSubstantial claim - Findingown data
The pooled metabolic syndrome prevalence was 33.4% in people with schizophrenia (N=93, n=29,596).
“The pooled MetS prevalence was 33.4% (95% CI: 30.8%-36.0%,Q 5 1955.0,p<0.001) in people with schizophrenia (N 5 93, n 5 29,596)”
Quote in the paperSubstantial claim - Findingown data
In population-based studies, the pooled prevalence of metabolic syndrome was 38.9% for schizophrenia (N=20, n=12,770).
“In population-based studies, the pooled prevalence of MetS was 38.9% (95% CI: 34.6%-43.4%,Q 5 458.1, p<0.001;N 5 20, n 5 12,770) for schizophrenia”
Quote in the paperNot a substantial claim - Findingown data
The frequency of hyperglycaemia was 18.8% when the threshold was 110 mg/dl (ATP-III) (N=56, n=17,508; 95% CI 16.6-21.2).
“In studies reporting on hyperglycaemia, the frequency was 18.8% (N 5 56, n 5 17,508; 95% CI: 16.6%-21.2%,Q 5 906.9, p<0.001) when the threshold was 110 mg/dl (ATP-III)”
Quote in the paperNot a substantial claim - Findingown data
In population-based studies, the pooled prevalence of metabolic syndrome was 22.7% for major depressive disorder (N=3, n=1,503).
“and 22.7% (95% CI: 20.4%-25.1%,Q 5 2.28, p 5 0.31; N 5 3, n 5 1,503) for major depressive disorder.”
Quote in the paperNot a substantial claim - Findingown data
First episode was a unique predictor of lower metabolic syndrome independent of age (coefficient=-0.7517; 95% CI -1.4877 to -0.0157; z=-2, p=0.04; r2=0.24).
“first episode was also a unique predictor of lower MetS (coefficient 5 20.7517; 95% CI: 21.4877 to 20.0157; z 5 22, p 5 0.04; r 2 5 0.24).”
Quote in the paperSubstantial claim - Findingown data
Metabolic syndrome frequencies were not moderated by smoking status (p=0.49).
“but not by smoking status (p 5 0.49).”
Quote in the paperNot a substantial claim - Findingown data
The prevalence of metabolic syndrome was lowest in antipsychotic-naive participants (10.2%, 95% CI 6.8-14.3).
“The prevalence of MetS was lowest in antipsychotic-na€ ıve participants (10.2%, 95% CI: 6.8%-14.3%).”
Quote in the paperNot a substantial claim - Findingown data
Higher metabolic syndrome frequencies were moderated by higher body mass index (coefficient=0.1537; 95% CI 0.095-0.2123, z=5.14, p<0.0001).
“and higher body mass index (coefficient 5 0.1537; 95% CI: 0.095-0.2123,z 5 5.14, p< 0.0001)”
Quote in the paperSubstantial claim - Findingown data
Restricting the analysis to population-based studies (N=29, n=18,594), the overall weighted mean prevalence of metabolic syndrome was 35.9% (95% CI 31.8-40.0).
“Restricting the analysis to populationbased studies (N 5 29, n 5 18,594), the overall weighted mean prevalence of MetS was 35.9% (95% CI: 31.8%-40.0%,Q 5 934.8, p<0.001).”
Quote in the paperNot a substantial claim - Findingown data
The metabolic syndrome prevalence was significantly higher in Australia and New Zealand compared with all other regions (p<0.001).
“The MetS prevalence was significantly higher in Australia and New Zealand compared with all other regions (p<0.001).”
Quote in the paperNot a substantial claim - Findingown data
Among those receiving antipsychotics, participants taking aripiprazole had the lowest metabolic syndrome prevalence (19.4%, 95% CI 8.0-34.2; N=6).
“Among those receiving antipsychotics, participants taking aripiprazole had the lowest MetS prevalence (19.4%, 95% CI:8.0%-34.2%;N 5 6)”
Quote in the paperNot a substantial claim - Findingown data
Patients treated with risperidone had a metabolic syndrome frequency of 30.7% (95% CI 23.7-38.1; N=20).
“30.7% (95% CI: 23.7%-38.1%;N 5 20)”
Quote in the paperNot a substantial claim - Findingown data
Higher metabolic syndrome frequencies were moderated by older age (coefficient=0.0278; 95% CI 0.0178-0.0379, z=5.5, p<0.0001).
“Separate meta-regression analyses revealed that higher MetS frequencies were moderated by older age (coefficient 5 0.0278; 95% CI: 0.0178-0.0379,z 5 5.5, p<0.0001)”
Quote in the paperSubstantial claim - Findingown data
Higher metabolic syndrome frequencies were moderated by longer illness duration (coefficient=0.0339; 95% CI 0.0115-0.0564, z=2.96, p=0.003).
“longer illness duration (coefficient 5 0.0339; 95% CI: 0.0115-0.0564,z 5 2.96, p 5 0.003)”
Quote in the paperNot a substantial claim - Findingown data
Data from five studies demonstrated a trend for lower pooled metabolic syndrome prevalence in participants receiving monotherapy versus polytherapy (RR=0.81; 95% CI 0.66-1.01; p=0.065).
“Data from five studies demonstrated a trend for lower pooled MetS prevalence in participants receiving monotherapy (30.4%, 95% CI 25.4%-35.5%,Q 5 15.2, p 5 0.004; n 5 1,364) versus polytherapy (35.2%, 95% CI: 23.8%-47.5%,Q 5 18.8, p 5 0.008; n 5 313) (RR 5 0.81; 95% CI: 0.66-1.01;v 2 5 3.41, p 5 0.065; Q 5 5.87, p 5 0.21).”
Quote in the paperNot a substantial claim - Findingown data
First episode psychosis patients had a significantly lower metabolic syndrome risk than those with multi-episode schizophrenia (13.7% vs 34.2%; z=28.9, p<0.001).
“Comparing MetS in first versus multi-episode patients within illness subgroups, first episode psychosis patients (13.7%, 95% CI: 10.4%-16.9%,Q 5 8.659, p 5 0.034; N 5 4, n 5 424) had a significantly lower MetS risk than those with multi-episode schizophrenia (34.2%, 95% CI: 30.8%-36.0%,Q 5 1,955, p<0.001;N 5 105, n 5 29,596) (z 5 28.9, p< 0.001).”
Quote in the paperSubstantial claim - Findingown data
Low HDL cholesterol was present in 39.1% (N=86, n=26,193; 95% CI 36.4-41.9).
“Low HDL cholesterol was present in 39.1% (N 5 86, n 5 26,193; 95% CI: 36.4%-41.9%,Q 5 1.9, p<0.001).”
Quote in the paperNot a substantial claim - Findingown data
Patients treated with quetiapine had a metabolic syndrome frequency of 37.3% (95% CI 27.4-47.8; N=11).
“and 37.3% (95% CI: 27.4-47.8%;N 5 11), respectively.”
Quote in the paperNot a substantial claim - Findingown data
The frequency of hyperglycaemia was 23.0% when the threshold was 100 mg/dl (ATP-III-A and IDF) (N=28, n=8,205; 95% CI 17.3-29.2).
“while it was 23.0% (N 5 28, n 5 8,205; 95% CI: 17.3%-29.2%,Q 5 1.1, p<0.001) when the threshold was 100 mg/dl (ATP-III-A and IDF).”
Quote in the paperNot a substantial claim - Findingown data
In multivariable meta-regression, mean age predicted metabolic syndrome prevalence in first and multi-episode schizophrenia (coefficient=0.0296; 95% CI 0.013-0.0463, z=3.49, p=0.005).
“Within this, we pooled the prevalence of MetS in first and multiepisode schizophrenia and found that, although mean age predicted MetS prevalence (coefficient 5 0.0296; 95% CI: 0.013 to 0.0463, z 5 3.49, p 5 0.005)”
Quote in the paperNot a substantial claim - Findingown data
Pooled metabolic syndrome prevalences per country ranged from 25.4% in Brazil to 50.2% in Australia.
“Pooled MetS prevalences per country ranged from 25.4% (95% CI: 18.5%-32.9%)in Brazil to 50.2% (95% CI: 32.9%-67.4%) in Australia.”
Quote in the paperNot a substantial claim - Findingown data
Hypertriglyceridemia was present in 36.2% (N=87, n=26,577; 95% CI 33.1-39.3).
“Hypertriglyceridemia was present in 36.2% (N 5 87, n 5 26,577; 95% CI: 33.1%-39.3%,Q 5 2.7, p<0.001).”
Quote in the paperNot a substantial claim - Findingown data
Among those receiving antipsychotics, participants taking clozapine had the highest metabolic syndrome prevalence (47.2%, 95% CI 42.0-52.6; N=30).
“whilst those taking clozapine had the highest (47.2%, 95% CI: 42.0%-52.6%;N 5 30).”
Quote in the paperNot a substantial claim - Findingown data
The relative risk of metabolic syndrome versus age-and gender-matched healthy controls was 1.58 in bipolar disorder (95% CI 1.24-2.03; p<0.001).
“1.58 in bipolar disorder (95% CI: 1.24-2.03;p<0.001,Q 5 6.6, p 5 0.25; N 5 6, n 5 1,125)”
Quote in the paperSubstantial claim - Findingown data
When all significant predictors were entered in one meta-regression model, body mass index remained a significant predictor of metabolic syndrome (coefficient=0.142, 95% CI 0.0438-0.2405, z=2.83, p=0.004).
“When all significant predictors were entered in one meta-regression model, body mass index (coefficient 5 0.142, 95% CI: 0.0438-0.2405,z 5 2.83, p 5 0.004)”
Quote in the paperSubstantial claim - Findingown data
The proportion of patients with abdominal obesity was 63.2% according to IDF criteria (n=3,789; 95% CI 53.6-72.3).
“and 63.2% according to IDF (n 5 3,789; 95% CI: 53.6%-72.3%,Q 5 480.9, p< 0.001).”
Quote in the paperNot a substantial claim - Findingown data
Patients treated with olanzapine had a metabolic syndrome frequency of 36.2% (95% CI 31.8-40.9; N=26).
“36.2% (95% CI: 31.8%-40.9%;N 5 26)”
Quote in the paperNot a substantial claim - Findingown data
When all significant predictors were entered in one meta-regression model, illness duration did not remain a significant predictor of metabolic syndrome (p=0.19).
“whilst illness duration did not (p 5 0.19).”
Quote in the paperNot a substantial claim - Findingown data
Hypertension was present in 39.3% (N=88, n=27,441; 95% CI 36.1-42.5).
“Hypertension (ATP-III, ATP-III-A and IDF) was present in 39.3% (N 5 88, n 5 27,441; 95% CI: 36.1%-42.5%,Q 5 2.7, p<0.001).”
Quote in the paperNot a substantial claim - Findingown data
The pooled metabolic syndrome prevalence was 31.7% in patients with bipolar disorder (N=33, n=5,827).
“Similar pooled MetS prevalences were observed in patients with bipolar disorder (31.7%, 95% CI: 27.3%-36.3%,Q 5 843.5, p<0.001;N 5 33, n 5 5,827)”
Quote in the paperSubstantial claim - Findingown data
The relative risk of metabolic syndrome versus age-and gender-matched healthy controls was 1.57 in major depressive disorder (95% CI 1.38-1.79; p<0.001).
“and 1.57 in major depressive disorder (95% CI: 1.38-1.79,p<0.001,Q 5 19.0, p 5 0.26; N 5 17, n 5 5,267).”
Quote in the paperSubstantial claim - Findingown data
The pooled metabolic syndrome prevalence was 34.6% in those with related psychotic disorders (N=13, n=2,850).
“and 34.6% (95% CI: 29.3%-40.0%,Q 5 110.2, p<0.001) in those with related psychotic disorders (N 5 13, n 5 2,850).”
Quote in the paperNot a substantial claim - Findingown data
When all significant predictors were entered in one meta-regression model, age remained a significant predictor of metabolic syndrome (coefficient=0.0556, 95% CI 0.0025-0.1087, z=2.05, p=0.04).
“and age (coefficient 5 0.0556, 95% CI: 0.0025-0.1087,z 5 2.05, p 5 0.04) remained significant predictors”
Quote in the paperSubstantial claim - Findingown data
Patients treated with amisulpride had a metabolic syndrome frequency of 22.8% (95% CI 7.6-43.2; N=5).
“Patients treated with amisulpride, typical antipsychotics, risperidone, olanzapine and quetiapine had MetS frequencies of 22.8% (95% CI: 7.6%-43.2%;N 5 5)”
Quote in the paperNot a substantial claim - Findingown data
Patients treated with typical antipsychotics had a metabolic syndrome frequency of 28.0% (95% CI 19.8-37.2; N=15).
“28.0% (95% CI: 19.8%-37.2%;N 5 15)”
Quote in the paperNot a substantial claim - Findingown data
The pooled metabolic syndrome prevalence was 31.3% in patients with major depressive disorder (N=19, n=5,415).
“and major depressive disorder (31.3%, 95% CI: 27.3%-35.5%,Q 5 142.7, p<0.001;N 5 19, n 5 5,415).”
Quote in the paperNot a substantial claim - Findingown data
The proportion of patients with abdominal obesity was 50.3% by ATP definitions (n=20,210; 95% CI 46.9-53.7).
“Overall, the proportion of patients with abdominal obesity was 50.3% by the ATP definitions (n 5 20,210; 95% CI: 46.9%-53.7%,Q 5 1.6, p<0.001)”
Quote in the paperNot a substantial claim - Findingown data
A relative risk meta-analysis across 64 studies directly comparing metabolic syndrome frequencies in male versus female participants with severe mental illness found no gender differences (RR=0.94; 95% CI 0.85-1.02; p=0.15).
“A relative risk meta-analysis across 64 studies directly comparing MetS frequencies in male (33.5%, 95% CI: 30.0%-36.7%,Q 5 814, p<0.001; n 5 10,798) versus female (33.4%, 95% CI: 31.5%-38.4%,Q 5 615, p<0.001; n 5 8,027) participants with SMI found no gender differences (RR 5 0.94; 95% CI: 0.85-1.02;v 2 5 2.06, p 5 0.15; Q 5 232.0, p<0.011).”
Quote in the paperNot a substantial claim - Findingown data
There were insufficient data for bipolar disorder in population-based studies.
“There were insufficient data for bipolar disorder.”
Quote in the paperNot a substantial claim - Findingown data
There were insufficient data to compare the metabolic syndrome prevalence between antipsychotic-naive persons and those treated with specific antidepressants or mood stabilizers in similar populations.
“There were insufficient data to compare the MetS prevalence between antipsychotic-na€ ıve persons and those treated with specific antidepressants or mood stabilizers in similar populations.”
Quote in the paperNot a substantial claim - Findingown data
MetS risk is significantly higher with clozapine than with olanzapine.
“MetS risk was significantly higher with clozapine, followed by olanzapine.”
Quote in the paperSubstantial claim - Findingown data
The meta-analysis found geographical differences in MetS prevalence.
“Our meta-analysis also highlighted geographical differences in MetS”
Quote in the paperNot a substantial claim - Findingown data
MetS risk is significantly lower with aripiprazole than with each other antipsychotic for which data were available, including pooled typical antipsychotics, with the only exception of amisulpride.
“MetS risk was significantly lower with aripiprazole than with each other antipsychotic for which data were available, including pooled typical antipsychotics, with the only exception of amisulpride.”
Quote in the paperSubstantial claim - Findingown data
Patients receiving all individual antipsychotic medications are at higher MetS risk when compared to those who are antipsychotic-naïve.
“Our data suggest that patients receiving all individual antipsychotic medications are at higher MetS risk when compared to those who are antipsychotic-na€ ıve.”
Quote in the paperSubstantial claim - Interpretationown data
The data suggest that the risk for metabolic syndrome is similarly elevated in the diagnostic subgroups of severe mental illness.
“These data suggest that the risk for MetS is similarly elevated in the diagnostic subgroups of severe mental illness.”
- Also stated in: § DISCUSSION · plain
“MetS prevalences were consistently elevated for each of the three diagnostic subgroups compared to the general population, and comparative meta-analyses found no significant differences across schizophrenia, bipolar disorder and major depressive disorder.”
Quote in the paperSubstantial claim - Also stated in: § DISCUSSION · plain
- Premisecitation
About 60% of the excess mortality observed in severe mental illness is due to physical comorbidities, predominantly cardiovascular diseases.
“About 60% of the excess mortality observed in SMI is due to physical comorbidities, predominantly cardiovascular diseases (CVD) (6).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [6] source
Not checked in the free run.
- Study design and conductown data
The Begg-Mazumdar and Egger test indicated some publication bias.
“The Begg-Mazumdar (Kendall's tau b 5 0.15, p5 0.0015) and Egger test (bias 5 1.46, 95% CI: 0.15-2.77,p50.0292) indicated some publication bias.”
Quote in the paperNot a substantial claim - Premisecitation
Previous meta-analyses documented that people with severe mental illness have an increased risk for developing metabolic syndrome compared with the general population.
“Previous meta-analyses (21)(22)(23)(24) documented that people with SMI have an increased risk for developing MetS compared with the general population.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites (21)(22)(23)(24)
Not checked in the free run.
- Premisenone given
Meta-analytic comparisons of schizophrenia and related psychotic disorders or bipolar disorder with major depressive disorder are currently lacking.
“Meta-analytic comparisons of schizophrenia and related psychotic disorders or bipolar disorder with major depressive disorder are currently lacking.”
Quote in the paperSubstantial claim - Premisereasoning
Meta-analytic data including all major diagnostic severe mental illness subgroups (schizophrenia and related psychotic disorders versus bipolar disorder versus major depressive disorder) are absent in the literature.
“In the same way, meta-analytic data including all major diagnostic SMI subgroups (i.e., schizophrenia and related psychotic disorders versus bipolar disorder versus major depressive disorder) are absent in the literature.”
Quote in the paperSubstantial claim - Study design and conductown data
Because the study findings were based on cross-sectional rather than longitudinal data, the directionality of the association between medication use and observed metabolic parameters cannot be deduced with certainty.
“because our study findings were based on cross-sectional rather than longitudinal data, directionality of the association between medication use and observed metabolic parameters cannot be deduced with certainty”
Quote in the paperNot a substantial claim - Study design and conductnone given
Variables such as clinical subtypes of major depressive and bipolar disorder and concomitant or previous use of antidepressants and mood stabilizers were not reported or were insufficiently reported or controlled for in most available studies.
“Third, variables such as clinical subtypes of major depressive and bipolar disorder and concomitant or previous use of antidepressants and mood stabilizers were not reported or were insufficiently reported or controlled for in most available studies.”
Quote in the paperNot a substantial claim - Study design and conductnone given
There was considerable methodological heterogeneity across studies.
“First, there was considerable methodological heterogeneity across studies.”
Quote in the paperSubstantial claim - Interpretationown data
The study showed for the first time on a large meta-analytic scale that metabolic syndrome risk differs significantly across commonly used antipsychotic medications.
“Importantly, we also showed for the first time on a large meta-analytic scale that MetS risk differs significantly across commonly used antipsychotic medications.”
Quote in the paperSubstantial claim - Interpretationown data
The geographical differences in MetS indicate the possible influence of lifestyle and other environmental factors with or without genetic risk differences.
“which indicates the possible influence of lifestyle and other environmental factors with or without genetic risk differences.”
Quote in the paperNot a substantial claim - Study design and conductown data
There were inadequate data on ethnic distribution and lifestyle behaviors, precluding meta-analytic assessment of these factors as moderating or mediating variables.
“Fifth, there were inadequate data on ethnic distribution and lifestyle behaviors, precluding meta-analytic assessment of these factors as moderating or mediating variables.”
Quote in the paperNot a substantial claim
- May combine two claims. 13
- The quote only partly states this claim. 2
- Classified as probably not a substantial claim. 13
May combine two claims.
Findingown dataOnly two studies directly compared people with schizophrenia and major depressive disorder, precluding meta-analytic calculations.
“Only two studies directly compared people with schizophrenia and major depressive disorder, precluding meta-analytic calculations.”
- Also stated in: § Diagnostic subgroups · plain
“Only two studies directly compared MetS in people with schizophrenia and major depressive disorder, precluding meta-analytic calculations.”
Quote in the paperSubstantial claim- Also stated in: § Diagnostic subgroups · plain
May combine two claims.
Findingown dataAdjusting for publication bias with trim-and-fill had little effect on the pooled metabolic syndrome estimate, which was virtually identical (32.5%, 95% CI 30.8-34.2).
“The trim-andfill method demonstrated that adjusting for publication bias had little effect on the pooled MetS estimate, which was virtually identical (32.5%, 95% CI: 30.8%-34.2%,Q 5 2991, p<0.01, n 5 52,678).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThere were no data in first-episode bipolar disorder or major depressive disorder patients, precluding a comparison with multi-episode patients.
“There were no data in first-episode bipolar disorder or major depressive disorder patients, precluding a comparison with multi-episode patients.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataSouth America had the lowest pooled MetS prevalence (25.8%).
“South-America | 10 | 25.8% (95% CI: 20.7%-31.3%)”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataDifferent MetS criteria may somewhat affect the geographical differences, with IDF criteria being associated with the highest MetS prevalences.
“This finding may, however, be somewhat affected by different MetS criteria, with IDF criteria, which are often used in Australian studies, being associated with the highest MetS prevalences.”
Quote in the paperNot a substantial claimThe quote only partly states this claim.
Findingown dataAustralia and New Zealand had the highest pooled MetS prevalence (50.2%).
“Australia and New Zealand* | 6 | 50.2% (95% CI: 35.3%-65.0%)”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe mortality gap in severe mental illness appears to be widening.
“This mortality gap translates into a 10-20 year shortened life expectancy (3,4) and appears to be widening (5).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPeople with severe mental illness experience a two-to-three times higher mortality rate than the general population.
“People with severe mental illness (SMI), including schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder (MDD), experience a twothree times higher mortality rate than the general population (1,2).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe mortality gap in severe mental illness translates into a 10-20 year shortened life expectancy.
“This mortality gap translates into a 10-20 year shortened life expectancy (3,4) and appears to be widening (5).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationMethodological appraisal was performed according to PRISMA standards, including evaluation of bias (confounding, overlapping data, publication bias).
“Methodological appraisal was performed according to PRISMA standards (28), including evaluation of bias (confounding, overlapping data, publication bias).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [28] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA brief meta-analytic report comparing metabolic syndrome frequencies in patients with schizophrenia and bipolar disorder found that these populations are at similar risk.
“A brief meta-analytic report comparing MetS frequencies in patients with schizophrenia and bipolar disorder found that these populations are at similar risk (25).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningSensitivity analyses were conducted restricting the sample to large, population-based studies.
“In order to increase homogeneity of compared samples and eliminate smaller studies with less precise point estimates, we also conducted sensitivity analyses, restricting the sample to large, population-based studies.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTwo independent authors searched MEDLINE, PsycARTICLES, EMBASE and CINAHL from database inception to January 1, 2015.
“Two independent authors (DV, BS) searched MEDLINE, PsycARTICLES, EMBASE and CINAHL from database inception to January 1, 2015.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThis systematic review was conducted in accordance with MOOSE guidelines and in line with the PRISMA standard.
“This systematic review was conducted in accordance with the Meta-analysis Of Observational Studies in Epidemiology (MOOSE) guidelines (27) and in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standard (28).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the general population, clustered risk factors of metabolic syndrome have been associated with the development of cardiovascular diseases and excess mortality.
“In the general population, these clustered risk factors have been associated with the development of CVD and excess mortality (13)(14)(15).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites (13)(14)(15)
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationPublication bias was tested using the Egger's regression method and Begg-Mazumdar test, with a p value <0.05 suggesting the presence of bias.
“Publication bias was tested using the Egger's regression method (29) and Begg-Mazumdar test (30), with a p value <0.05 suggesting the presence of bias.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe trim-and-fill approach was used to adjust the overall estimate for funnel plot asymmetry.
“The trimand-fill approach (32) was used to adjust the overall estimate for funnel plot asymmetry.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32]
Not checked in the free run.
May combine two claims.
PremisecitationFactors predisposing people with severe mental illness to cardiovascular diseases include antipsychotic medication and unhealthy lifestyles as well as their reduced likelihood to receive standard levels of medical care.
“Factors predisposing people with SMI to CVD include antipsychotic medication and unhealthy lifestyles (7) as well as their reduced likelihood to receive standard levels of medical care (8)(9)(10)(11)(12).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [7] source
Not checked in the free run.
- cites (8)(9)(10)(11)(12)
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
InterpretationcitationThe findings of the brief meta-analytic report should be interpreted with caution because comparisons were performed at study level and not limited to studies directly comparing the two populations, and patient samples were not matched for age and illness duration.
“However, these findings should be interpreted with caution, since comparisons were performed at study level and not limited to studies directly comparing the two populations, and patient samples were not matched for age and illness duration (26).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] source
Not checked in the free run.
May combine two claims.
Study design and conductown dataPublication bias and heterogeneity are threats to the validity of any meta-analysis, and the authors encountered them in several analyses.
“Fourth, a threat to the validity of any meta-analysis is publication bias and heterogeneity, which we encountered in several of our analyses.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenTo our knowledge, this is the first meta-analysis of metabolic syndrome and its components including and comparing data from the main severe mental illnesses: schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder.
“To our knowledge, this is the first meta-analysis of MetS and its components including and comparing data from the main SMIs: schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationAntipsychotics with lower cardiometabolic risk profiles in short-term studies are often prescribed for higher risk patients in clinical care, which may lead to a not reduced or even increased cardiometabolic risk in naturalistic settings.
“antipsychotics with lower cardiometabolic risk profiles in short-term studies are often prescribed for higher risk patients in clinical care, which may lead to a not reduced or even increased cardiometabolic risk in naturalistic settings (42).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] source
Not checked in the free run.
May combine two claims.
Study design and conductown dataAlthough the main findings were heterogeneous, they were highly robust and not influenced by publication bias, being virtually unaltered after applying the trim-and-fill method.
“However, although the main findings were heterogeneous, they were also highly robust and not influenced by publica-tion bias, being virtually unaltered after applying the trimand-fill method.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationSince age is a relevant risk factor for metabolic syndrome in the general population too, the relative metabolic syndrome risk is greatest in younger people with severe mental illness and those treated with antipsychotics.
“Since age is a relevant risk factor for MetS in the general population too, the relative MetS risk *Two-sided p<0.05, two-sided p<0.01, ***two-sided p<0.001”
Quote in the paperNot a substantial claim
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Chronic conditions such as coronary artery disease, fibromyalgia, rheumatoid arthritis, Major Depressive Disorder, and Post Traumatic Stress Disorder are associated with abnormally high cortisol levels and metabolic disruptions.
“chronic conditions such as coronary artery disease, fibromyalgia, rheumatoid arthritis, and mood disorders such as Major Depressive Disorder (MDD) and Post Traumatic Stress Disorder (PTSD) have also been associated with abnormally high CORT levels and metabolic disruptions ( 5-13 ).”
From Dynamic modulation of glucose utilisation by glucocorticoid rhythms in health and disease (2020) · cites this paper as [13]
The results section reports increased metabolic-syndrome risk in people with severe mental illness, a group the paper defines as including major depressive disorder. The Discussion also mentions possible HPA-axis dysfunction, but neither passage establishes abnormally high cortisol levels; the paper does not address the claimed associations for coronary artery disease, fibromyalgia, rheumatoid arthritis, or PTSD. Page numbers are unavailable in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredMany conditions associated with hypercortisolism are accompanied by disruption of normal glucose metabolism while preserving some degree of cortisol rhythmicity.
“many of these conditions are accompanied by a disruption of normal glucose metabolism while preserving some degree of CORT rhythmicity.”
From Dynamic modulation of glucose utilisation by glucocorticoid rhythms in health and disease (2020) · cites this paper as [13]
The section comparing people with severe mental illness with general-population controls reports an increased risk of hyperglycaemia, supporting the glucose-metabolism part of the claim for that population. Our copy does not establish that these conditions are associated with hypercortisolism or that they preserve any degree of cortisol rhythmicity; searches for those terms and for circadian rhythm found no such passage. The indexed passage has no page number. (LLM, conf=0.82)
Experimental — accuracy not yet measuredPeople with severe mental illness have higher levels of somatic comorbidities and premature mortality than the general population.
“People with severe mental illness (schizophrenia, bipolar disorder or major depressive disorder) have higher levels of somatic comorbidities and premature mortality than the general population 1-3 .”
In hypercortisolism, cortisol levels are higher than normal and in some cases display abnormal rhythmicity, varying by underlying condition.
“in hypercortisolism, it is not only that CORT levels are higher than normal, but in some cases, they also display abnormal rhythmicity. This varies depending on whether the underlying condition is associated with Cushing's syndrome, depression, PTSD, acute inflammation following major surgery, or chronic inflammatory diseases (e.g., rheumatoid arthritis) ( 2, 5-13, 57-60 ).”
From Dynamic modulation of glucose utilisation by glucocorticoid rhythms in health and disease (2020) · cites this paper as [13]
The Discussion mentions possible hypothalamic-pituitary-adrenal dysfunction, but does not describe cortisol levels or rhythmicity. Searches for cortisol rhythms, hypercortisolism, and the named underlying conditions found no passage in our copy addressing the claim. (LLM, conf=0.76)
Experimental — accuracy not yet measuredThere is evidence for pyridostigmine, non-steroidal anti-inflammatories, caffeine, and erythropoietin as adjunctive agents in patients who remain symptomatic with the above regimen.
“There is evidence for the use of pyridostigmine 96 , non-steroidal anti-inflammatories 97 , caffeine 98 and erythropoietin 99 as adjunctive agents in patients who remain symptomatic with the above regime.”
From The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness (2019) · cites this paper as [97]
First-episode diagnosis is a unique predictor of lower T2DM prevalence independent of mean age.
“The current meta-analysis adds to the evidence that a first-episode diagnosis is a unique predictor of lower T2DM prevalence independent of mean age, a finding that was also apparent in a recent analysis of metabolic syndrome prevalences across patients with the same three main SMIs 33 .”
From Diabetes mellitus in people with schizophrenia, bipolar disorder and major depressive disorder: a systematic review and large scale meta‐analysis (2016) · cites this paper as [33]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Multi-episode schizophrenia has more studies than schizophrenia overall
MinorThe paper reports 93 studies of schizophrenia overall but 105 studies of multi-episode schizophrenia, although the latter is a subgroup of the former. Both figures are also assigned the same participant total of 29,596.
“The pooled MetS prevalence was 33.4% (95% CI: 30.8%-36.0%,Q 5 1955.0,p<0.001) in people with schizophrenia (N 5 93, n 5 29,596)”
“multi-episode schizophrenia (34.2%, 95% CI: 30.8%-36.0%,Q 5 1,955, p<0.001;N 5 105, n 5 29,596)”
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Self-citationNousen, E. K., Franco, J. G., & Sullivan, E. L. (2013) · Neuroendocrinology · doi:10.1159/000355632 · Cited by 123 · see citing works
Avoidable mortality in people with schizophrenia or bipolar disorder in <scp>E</scp>ngland
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Antipsychotics and Diabetes: An Age-Related Association
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Glucose Metabolism and Antidepressant Medication
M. Hennings, J., Schaaf, L., & Fulda, S. (2012) · Current Pharmaceutical Design · doi:10.2174/138161212803523662 · Cited by 64 · cited 1× · see citing works
“For example, previous studies (52) found that some antidepressants may, in some circumstances, reduce hyperglycaemia, normalize glucose homeostasis and also increase insulin sensitivity, whereas others, including tricyclic antidepressants, may exacerbate glycaemic dysfunction or have little effect on glucose homeostas…”
ResultMarkers of inflammation in schizophrenia: association vs. causation
Manu, P., Correll, C. U., Wampers, M., Mitchell, A. J., Probst, M., Vancampfort, D., & De Hert, M. (2014) · World Psychiatry · doi:10.1002/wps.20117 · Cited by 59 · see citing works
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“Thus, screening for and trying to minimize risk factors (including adverse lifestyle factors and antipsychotic medication choice and use) should be a key priority in the multidisciplinary treatment of people with SMI (46-49).”
BackgroundBipolar Disorder, Schizophrenia, and Metabolic Syndrome
Bartoli, F., Carrà, G., Crocamo, C., Carretta, D., & Clerici, M. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.13040447 · Cited by 35 · see citing works
Antidepressant use and glycemic control
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Self-citation
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Self-citationMetabolic syndrome in psychiatric patients: overview, mechanisms, and implications
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Self-citationCardiovascular disease in patients with severe mental illness
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Self-citationDietary intake of people with severe mental illness: systematic review and meta-analysis
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Self-citationEfficacy and Safety of Lumateperone for Treatment of Schizophrenia
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How sedentary are people with psychosis? A systematic review and meta-analysis
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Self-citationInsulin signaling pathway and related molecules: Role in neurodegeneration and Alzheimer's disease
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The Role of Exercise in Preventing and Treating Depression
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Self-citationPhysical activity and suicidal ideation: A systematic review and meta-analysis
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Self-citationCardiorespiratory fitness in severe mental illness: a systematic review and meta-analysis
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Self-citationCholesterol and triglyceride levels in first-episode psychosis: systematic review and meta-analysis
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Self-citationOmega-3 fatty acids and mental health
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Self-citationDepression and Anxiety in Adults With Hidradenitis Suppurativa
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Self-citationTreatment-resistant schizophrenia: current insights on the pharmacogenomics of antipsychotics
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Immuno-metabolic depression: from concept to implementation
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Self-citationThe pharmacological management of metabolic syndrome
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The prevalence of metabolic syndrome in alcohol use disorders: a systematic review and meta-analysis
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Evaluation of Brain-Body Health in Individuals With Common Neuropsychiatric Disorders
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Antioxidant Properties of Second-Generation Antipsychotics: Focus on Microglia
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Self-citationLithium’s antiviral effects: a potential drug for CoViD-19 disease?
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Longitudinal associations between post-traumatic stress disorder and metabolic syndrome severity
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Using wearable technology to detect the autonomic signature of illness severity in schizophrenia
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- Authors
- Vancampfort, D., Stubbs, B., Mitchell, A. J., De Hert, M., Wampers, M., Ward, P. B., Rosenbaum, S., & Correll, C. U.
- Affiliations
- KU Leuven (BE)
- University of Greenwich (GB)
- University of Leicester (GB)
- UPC KU Leuven, Campus Kortenberg, Department of Neurosciences, KU Leuven ‐ University of Leuven Kortenberg Belgium
- UNSW Sydney (AU)
- Hofstra University (US)
- ORCID
- Venue
- World Psychiatry
- Publisher
- Wiley
- Published
- 2015-09-25
- Volume
- 14
- Issue
- 3
- Pages
- 339-347
- ISSN
- 1723-8617 (ISSN-L)
- 2051-5545
- PMC
- PMC4592657
- OpenAlex
- W2150458484
- Cited by
- 1,271
- References
- 65
- Citations by year
- 2026: 120 · 2025: 142 · 2024: 122 · 2023: 101 · 2022: 117 · 2021: 138 · 2020: 132 · 2019: 101 · 2018: 131 · 2017: 96 · 2016: 65 · 2015: 4
- FWCI
- 13.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- World Psychiatry (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- Lirias (KU Leuven) (submittedVersion, other-oa)
- Lirias (KU Leuven) (submittedVersion)
- Funders
- Yale University
- University of Pittsburgh
- University of Rochester
- Postgraduate Institute of Medical Education and Research, Chandigarh
- Newcastle University
- Rijksuniversiteit Groningen
- Universiteit Utrecht
- Vrije Universiteit Amsterdam
- University of Toronto
- Kuopion Yliopistollinen Sairaala
- Taipei Medical University
- University of California, San Diego
- Medical Center, University of Rochester
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Keywords
- metabolic syndrome, schizophrenia, bipolar disorder, major depressive disorder, psychosis, severe mental illness, antipsychotic drugs, clozapine, olanzapine, aripiprazole, body mass index, cardiovascular risk, hypertension, metabolic syndrome prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
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