Skip to main content
Schizophrenia Bulletin logoLink to Schizophrenia Bulletin
. 2024 Dec 9;51(5):1193–1205. doi: 10.1093/schbul/sbae205

Metformin for the Prevention of Antipsychotic-Induced Weight Gain: Guideline Development and Consensus Validation

Aoife Carolan 1,2,, Caroline Hynes-Ryan 3,4, Sri Mahavir Agarwal 5,6,7,8, Rita Bourke 9, Walter Cullen 10, Fiona Gaughran 11,12, Margaret K Hahn 13,14,15,16,17,18, Amir Krivoy 19,20, John Lally 21,22,23, Stefan Leucht 24, John Lyne 25,26, Robert A McCutcheon 27,28,29, Michael J Norton 30,31, Karen O’Connor 32,33, Benjamin I Perry 34,35, Toby Pillinger 36, David Shiers 37,38,39, Dan Siskind 40,41, Andrew Thompson 42,43, Donal O’Shea 44,45, Dolores Keating 46,47, Brian O’Donoghue 48,49,50,51
PMCID: PMC12414565  PMID: 39657713

Abstract

Background

Overweight and obesity are highly prevalent in people with severe mental illness (SMI). Antipsychotic-induced weight gain (AIWG) is one of the most commonly reported and distressing side effects of treatment and people living with SMI place a high value on the avoidance of this side effect. Metformin is the most effective pharmacological intervention studied for the prevention of AIWG yet clear guidelines are lacking and evidence has not translated into practice. The aim of this research was to develop a guideline for the use of metformin for the prevention of AIWG.

Study Design

The appraisal of guidelines for research and evaluation II instrument (AGREE II) was followed for guideline development. Literature was reviewed to address key health questions. The certainty of evidence was evaluated using GRADE methodology and an evidence-to-decision framework informed the strength of the recommendations. A consensus meeting was held where the algorithm and strength of recommendations were agreed. An independent external review was conducted involving experts in the field, including patient and public partners.

Study Results

Metformin is the only pharmacological agent that has demonstrated efficacy for preventing AIWG. Co-commencement with antipsychotic medicines can reduce the extent of weight gain by 4.03 kg (95% CI −5.78 kg to −2.28 kg) compared to controls. A guideline for the use of metformin for the prevention of AIWG was developed with specific recommendations for co-commencement of metformin at initiation with an antipsychotic or commencement if certain criteria are present. Core recommendations were graded as strong by consensus agreement.

Conclusions

This is the first published evidence-based guideline using the AGREE II framework and GRADE methods for the use of metformin to prevent AIWG incorporating recommendations for co-commencement. Implementation and evaluation of the guideline will be supported by a shared decision-making package and assessment of barriers and facilitators to implementation.

Keywords: antipsychotic, metformin, prevention, severe mental illness, weight gain

Introduction

People with severe mental illnesses (SMI) such as schizophrenia and bipolar affective disorder have higher rates of premature mortality than the rest of the population and much of this increased risk is attributed to cardiometabolic risk factors.1–4 Overweight and obesity contribute significantly to cardiometabolic risk, with obesity doubling the risk of all-cause mortality, coronary heart disease, stroke and type 2 diabetes (T2DM).4,5 An estimated three quarters of people with psychosis have co-morbid overweight or obesity.6 The trajectory of weight gain in people with SMI is rapid and nonlinear. For example, within a year of treatment, up to 80% of people with first episode psychosis will experience clinically significant weight gain, defined as ≥7% increase in baseline body weight.7–9 Furthermore, a UK longitudinal study of changes in weight in the 5 years after the first prescription for an antipsychotic found that over 50% of individuals in the healthy weight category at baseline progress to overweight/obesity.10 Despite greater awareness and recommendations for the monitoring and management of modifiable risk factors, this health inequality continues to widen, and premature mortality rates have risen consistently in recent years in people with SMI.1 Nonpharmacological factors such as lifestyle, genetics, and reduced access and/or utilization of healthcare services contribute to this health inequality. The net positive effect of antipsychotic treatment is demonstrated by the fact that those people with a diagnosis of schizophrenia who do not take medication have a shorter life expectancy than those who take medication.11,12 Nevertheless, antipsychotic medicines cause cardiometabolic side effects to varying degrees and interventions that reduce these side effects could improve physical health outcomes.13–15 Targeting antipsychotic-induced weight gain (AIWG) also promises to have a wider psychosocial impact. AIWG is one of the most commonly reported and distressing side effects of treatment16–18 and weight gain is related to poorer quality of life, as well as reduced medication adherence in people with schizophrenia19,20

Pharmacological and nonpharmacological interventions for the prevention and/or treatment of AIWG have been evaluated. Antipsychotic dose reduction, discontinuation or switching strategies have demonstrated statistically significant reductions in weight with mean changes in weight of −1.5 kg (95% CI −2.03 kg to −0.98 kg) compared to maintenance treatment. The clinical significance of these interventions is uncertain.21–23 Furthermore, antipsychotic switching will not be possible in some patients, eg, those receiving clozapine for treatment resistant schizophrenia.

Behavior change methods, including diet and lifestyle interventions should always be offered and continued alongside pharmacological interventions for weight gain.24 These interventions have a long-established evidence base for improving general health, quality of life and well-being in the general population. However, for people living with SMI, barriers in access to and utilization of these interventions precludes equity of access. Widespread replication of these intensive interventions is difficult. Furthermore, interventions for the prevention of weight gain are relatively understudied. The PHAsTER study, one of the few studies evaluating lifestyle interventions for the prevention of AIWG, found that physical health intervention failed to prevent significant metabolic complications of treatment, indicating a need for more intensive interventions.25

AIWG can be rapid and severe in the first weeks of treatment.7 Those who are acutely unwell may be unable to engage fully in these intensive interventions and pharmacological interventions may be required to mitigate against rapid weight gain. People with SMI have expressed that clinicians can overestimate the ability of dietary and lifestyle interventions and difficulies in accessing more effective interventions.26 The now outdated mantra of “eat less, move more” is no longer adequate when managing weight gain in people with SMI.24

Metformin, a biguanide licensed for T2DM, has a long-established safety profile and is, largely, well tolerated. Common, yet transient, side effects include nausea and gastrointestinal disturbance. Other possible complications of treatment include vitamin B12 deficiency and rarely, lactic acidosis or liver function test abnormalities. The unlicensed use of metformin for treating AIWG is associated with a mean reduction in weight of approximately 3 kg. The effect may be higher in people at the onset of SMI.27,28

A 2022 Cochrane review of pharmacological interventions for the prevention of AIWG found that metformin was the only pharmacological agent that may be effective for preventing weight gain when started with an antipsychotic.5 This was replicated in a large meta-analysis of metformin versus placebo commenced at the time of antipsychotic initiation, where metformin was associated with attenuation of weight gain and additional significant attenuation of derangement of fasting glucose levels, total cholesterol, and total triglyceride levels.29 Despite this, metformin for the prevention of AIWG is not routinely offered in psychiatric practice. Barriers to translation are likely multifactorial. Lack of knowledge, experience, and guidance are likely major factors. Therefore, we aimed to develop a clinical guideline for the use of metformin for the prevention of AIWG with specific and implementable recommendations on when and how to start metformin based on specific criteria.

Methods

An international steering group, part of the PROGRESS (Psychosis, Recovery, Optimization through Guidelines and Research-based Evidence in Service Strategies) project, identified metformin for the prevention of AIWG as an area of priority for translation of evidence into clinical practice guidelines. The steering group included international researchers and clinicians with expertise in psychiatry, physical and metabolic health and patient & public involvement (PPI) partners. A guideline development group (BOD, DK, AC, CH) with expertise in evidence synthesis, including systematic review, meta-analysis, the GRADE approach, implementation science, and translating research into practice, was chaired by the principal investigator (BOD). This research did not involve the collection of any patient identifiable data and research ethics committee approval was not required.

The appraisal of guidelines for research and evaluation II (AGREE II) checklist was used as a framework for the development of the guideline.30  Table 1 summarizes the guideline development process with each stage of the process mapped to AGREE II domains. A more detailed description of the process can be found in the supplementary file (Appendix 1). Key Health Questions were devised and listed in Table 2.

Table 1.

Guideline Development Process Mapped to AGREE II Domains

Guideline development process
Stage AGREE II
1. Scope, purpose, objectives, and key health questions
To address uncertainty around the use of metformin for preventing AIWG in adults and children, specific, implementable recommendations would be developed. Key health questions were agreed (Table 2).
Domain 1:
Scope & Purpose
2. Involve Stakeholders
International researchers and clinicians with expertise in psychiatry, physical and metabolic health, general practice and clinical leads were invited to be involved. Patient and public partners were involved in the guideline development from concept.
Domain 2:
Stakeholder Involvement
Domain 6:
Editorial Independence
3. Evidence synthesis
Literature was reviewed to address the key health questions. An information specialist was consulted in the development of the search strategies and search terms. Evidence profiles were produced. AC and DK independently rated the certainty of evidence using GRADE methodology.
Domain 3:
Rigour of Development
4. Develop recommendations and algorithm
Core recommendations (Table 4) and good practice recommendations were agreed. An evidence-to-decision framework was populated (Supplementary file). An algorithm (Figure 1) was developed detailing the preliminary guidance.
Domain 4:
Clarity of Presentation
5. Preliminary review
Evidence synthesis, evidence-to-decision framework and guideline recommendations were presented to endocrinology and international experts (DOS, DSiskind, AT, DShiers). All feedback was recorded and incorporated into the algorithm and evidence-to-decision framework.
Domain 3:
Rigour of Development
6. Consensus validation
A consensus development meeting was held at the Schizophrenia International Research Society Conference 2024. Members of the consensus panel were asked to disclose any conflicts of interest. No members of the consensus panel had any direct conflicts relating to this guideline. Researchers had conducted research in the area of AIWG but none of that research was funded by pharmaceutical companies. In a manner of full disclosure, a list of all consultant and speaker fees can be found in the supplementary file. Members of the guideline development group presented the evidence summaries, evidence-to decision framework and the guideline algorithm. All feedback was recorded. Suggestions for change were discussed and agreed at the meeting. Attendees were invited to rate the strength of the recommendations according to the GRADE framework using an informal process.
Domain 2:
Stakeholder Involvement
Domain 3:
Rigour of Development
7. External reviews
The guideline algorithm was presented for final external review to two external experts (AM and FG) and two PPI representatives (RB, MN). External reviewers were asked to comment on the rigour and transparency of the methods and the evidence-to decision framework. All feedback was recorded and, where applicable, incorporated into the algorithm and evidence-to-decision framework.
Domain 2:
Stakeholder Involvement
Domain 3:
Rigour of Development
8. Implementation
An evaluation project is planned and the results will inform an updated version of the guideline in 2026. New or emerging evidence will be reviewed when updating the guideline.
Domain 5:
Applicability

Table 2.

List of Key Health Questions Identified by the Guideline Development Group

Key health question 1 Should metformin be used for the prevention of AIWG?
Key health question 2 What predictors, thresholds and parameters should inform the decision of when to start metformin to prevent AIWG?
Key health question 3 What dose of metformin should be used for the prevention of AIWG?
Key health question 4 When should metformin be stopped when it is prescribed for the prevention of AIWG?

Abbreviation: AIWG, antipsychotic-induced weight gain.

Results

Development of the Initial Guideline Contents

Key Health Question 1: Should Metformin be Used for the Prevention of AIWG?

Existing published guidelines were reviewed (Supplementary file).2,4,24,31–39 Canadian and Irish guidelines for obesity in adults refer to the early use of metformin for AIWG but don’t provide guidance on how and when to initiate metformin.24,31,32 Significant developments have been made in the area of weight management in recent years and some of the published guidelines pre-date these advances. Table 3 summarizes the evidence profile, including effect size and certainty of evidence for metformin in preventing AIWG.

Table 3.

Evidence Profile. Metformin compared to placebo or no treatment for the prevention of weight gain

No. of participants taking metformin (studies) Mean difference change in weight (kg)
95% CI (kg)
Certainty of evidence (grade)
65 (4 RCTs)17 −4.03 (−5.78, −2.28) ⊕⊕⊝⊝ Low
563 (14 RCTs) −3.12 (−4.22, −2.01) ⊕⊝⊝⊝ Very low
69 (1 cohort study)19 −3.14 (−0.78, −5.52) ⊕⊕⊝⊝ Low

Metformin compared to placebo or no treatment for the prevention of weight gain.

Outcome: Average endpoint change in body weight.

A 2022 Cochrane review of pharmacological interventions for the prevention of AIWG found that metformin was the only pharmacological agent that may be effective for preventing weight gain.5 Four randomized controlled trials (RCTs) with a total of 131 participants assessed mean change in body weight in those prescribed risperidone (n = 2) or olanzapine (n = 2). The metformin group gained on average 4.03 kg (95% CI 5.78 kg to 2.28 kg) less than the control group.5 Co-commencement in this systematic review was defined as starting metformin “around the same time as an antipsychotic.”

This finding was replicated in a systematic review and meta-analysis of co-commencement of metformin at the time of initiation of an antipsychotic. In 14 RCTs, 11 of which were obtained from Chinese databases, involving 1126 participants, the metformin group gained on average 3.12 kg, (95% CI 4.22 kg to 2.01 kg) less than control. Clozapine (n = 3), olanzapine (n = 9), risperidone (n = 4) and sulpiride (n = 2) were among the antipsychotics studied.29

A large naturalistic cohort study involving 396 participants prescribed clozapine found that the metformin group gained on average 3.14 kg (95% CI .78 kg to 5.52 kg) less weight than the control group at 6 months and 5.38 kg (95% CI 2.65 kg to 8.13 kg) less weight at 12 months.40

In assessing the evidence, RCTs were initially rated as moderate certainty of evidence according to GRADE but downgraded to low certainty due to short study duration, small sample size, and variability in dosage used, follow-up, randomization, and blinding. Naturalistic studies were included in the evidence synthesis due to large sample size and follow-up periods and graded as low certainty. Overall, the certainty of evidence for metformin for prevention of AIWG was graded as low; however, the direction of evidence is in favor of the intervention, and the magnitude of effect across studies is high. Differences exist in the relative value of metformin for the prevention of weight gain and the treatment of weight gain. Effect size for the prevention of weight gain is not well described in the literature. The effect size for treatment of weight gain does not necessarily correspond with the effect size for the prevention of weight gain. Population-based cohort modeling studies have found that shifting mean population weight downwards by 5 (±2.0)% or 3–6 kg can prevent 42.4% (95% CI 24.3 to 56.1%) of T2DM cases. Achieving weight maintenance (±3.0%) can prevent 22.0% (95% CI 15.5 to 28.0%) of T2DM cases.41 Behavior change and lifestyle interventions for preventing weight gain in the general population describe effect sizes of 1.15 kg (95% CI 1.50 kg to 0.80 kg).42 NICE guidance on preventing excessive weight gain describes effect sizes of 1 kg as cost-effective, provided they do not cost in excess of £100 per individual.35 When presented to endocrinology experts, there was consensus that effect sizes seen for metformin for the prevention of weight gain (3–5 kg) are considered large effect sizes.

Key Health Question 2: What Predictors, Parameters, and Thresholds Should Inform the Decision of When to Intervene to Prevent AIWG?

Predictors for susceptibility to AIWG were extracted from the literature to address key health question 2.

Choice of Antipsychotic.

The choice of antipsychotic has been found to be the most important nongenetic factor at baseline for predicting AIWG.14,23,43–46 There is low certainty evidence for this association.46 The side effect profile of the antipsychotic agent is an important factor in the decision regarding which antipsychotic medication is commenced first.34,47–49 While not everyone prescribed antipsychotics with higher cardiometabolic adverse effect profiles will experience clinically significant weight gain, at present there is no accurate clinic-ready means to predict worse cardiometabolic outcomes in psychosis at the individual level. Prognostic tools for the psychosis population are advanced in the development pipeline and may be suitable for inclusion in future updates to this guidance.50 Nevertheless, modeling of over 1100 FEP cases in the UK found that even antipsychotics with higher cardiometabolic risk can be prescribed, and cardiometabolic risk lowered over time, so long as other factors, including weight gain are carefully addressed.51 Therefore, in lieu of a current clinically-available tool to predict cardiometabolic outcomes in this population, as part of shared decision-making, all people with first episode psychosis should be offered of an antipsychotic with low-risk of cardiometabolic side effects where possible at the lowest effective dose.52 Yet, if high- or medium-risk medicines are necessary, prevention strategies, for example, the early use of metformin, should be targeted at these groups.

Multiple network meta-analyses have reviewed the risk of cardiometabolic side effects with antipsychotics. All antipsychotic medicines can cause weight gain. Clozapine and olanzapine are consistently associated with the highest risk of weight gain. Quetiapine, risperidone, and paliperidone generally rank lower than clozapine and olanzapine for cardiometabolic side effects but still have significant potential to cause clinically significant weight gain.14,43–45,53

Young Age and Antipsychotic Naivety.

Younger age, first episode psychosis, and antipsychotic naivety are all predictors for susceptibility to AIWG, with age being a proxy for both first episode and antipsychotic naivety and vice versa. There is low-moderate certainty evidence for this association.46 Younger people are particularly susceptible to metabolic side effects of antipsychotic medicines. Children and adolescents have AIWG rates of up to twice that seen in adults.54 Young and antipsychotic naïve patients can gain 3–4-fold more weight irrespective of the specific antipsychotic.53 Rogdaki et al. 2024 report that children and adolescents exposed to antipsychotics such as clozapine experience 4.69 kg of weight gain in the first weeks of treatment. Whilst this figure matches that seen in adults, it is proportionally more significant given the lower body mass of children and adolescents.14,55 Predictive factors that were found to be relevant for the adult population, including baseline BMI, gender and ethnicity, were less associated with AIWG in children and adolescents, which reinforces the need for specific and separate considerations for the prevention of AIWG in younger populations. Antipsychotic prescribing in younger people has doubled since 2000, highlighting the need to act swiftly to monitor and manage metabolic side effects.56

Metabolic risk is accrued early in treatment with antipsychotics.57 For younger people, if not managed, this can lead to exposure to elevated cardiometabolic risk for extended periods. Health systems struggle to implement cardiometabolic monitoring and primary prevention recommendations, not least among those with SMI and younger populations.58–60 Younger people are underserved by guidelines for prevention of cardiometabolic disease, which, in many cases, target those over 40 years.3 Weight gain is a significant risk factor for cardiometabolic risk, with even 1 kg of weight gain translating to increases in CVD of 3.1%.61 Guidelines for prevention of AIWG in people of all ages, including young people, are lacking. Given that the age of onset of SMI is in early adulthood, the need to intervene early to prevent harm from weight gain is essential.

Cardiometabolic Risk Factors.

In addition to evaluating the evidence for metformin in preventing AIWG, the potential impact of metformin on cardiometabolic outcomes was extracted from the literature and an evidence profile was populated (Supplementary file). Metformin has a small to medium effect on cardiometabolic outcomes such as total cholesterol, triglycerides, fasting glucose, HOMA-IR, and triglycerides. The certainty of evidence was graded as very low.

Early Trends in Weight Gain.

Weight gain can be substantial and rapid early in the course of psychosis, the first year of treatment being critical.7 A naturalistic cohort study found that individuals with first episode psychosis gained on average 3.46 ± 7.81 kg of weight after a mean of 44.6 days of treatment.62 Trend in weight gain and change in BMI in the first weeks of treatment has been identified as the most clinically significant factor influencing longer-term risk of adverse cardiometabolic outcomes.46,63 In the case of BMI, there is moderate certainty evidence for this association.46

Eating Behavior and Early Appetite Increases.

Early increases in appetite or eating behavior may predict risk of weight gain, but the certainty of evidence is low and inconsistent. One study found that increased appetite at 4 weeks was associated with significantly greater weight gain at 12 weeks. Mean difference 2.67 kg (95% CI 1.20 to 4.15), P < .0001.64 Eating behavior and raised blood glucose were found to be potential predictors of weight gain.65

Parameters and Thresholds for Intervention

To further address key health question 2, parameters and thresholds for intervention were extracted from the literature. Various definitions exist for clinically significant weight gain ranging from 5% increase in baseline body weight to 10%.5,46,63,66–68 In trying to prevent clinically significant weight gain, there is no standardized threshold or timeframe for intervention, to our knowledge. One review defines long-term weight maintenance in adults as <3% change in body weight.66 Elsewhere, weight stability has been defined as +/−2 kg change in body weight over 6 months. Average 10-year weight gain among 13 802 US adults in the general population was reported as 4.2 ± 0.2 kg or 6.6% ± 0.2% of initial body weight.69 Younger adults experience more significant increases in body weight under the age of 25 years where the average 6-year weight gain is reported as 7.3 kg over 6 years.

Presentation of the evidence for preliminary review to endocrinology experts including the clinical lead for obesity in Ireland revealed that local metabolic clinics categorize weight stability as ±2.5% changes in body weight and a threshold of 3% for intervention for preventing AIWG was deemed acceptable. For the prevention of AIWG, the guideline development group proposed the threshold for intervention as an increase in baseline body weight of >3%. For children and adolescents, this was defined as >3% weight gain outside of the expected trajectory of weight increases. WHO growth charts for girls and boys aged 9–18 years should be used to assess expected trajectory weight increases. Adapted versions exist for some countries eg, UK and USA.70

When the guideline was presented at the consensus meeting, the timeframe for this threshold was left open. Experts at the consensus meeting suggested that a timeframe should be specified and it was agreed that this would be specific to the first year of treatment with an antipsychotic and would apply to the initiation or switching of antipsychotic medicines.

Three core recommendations were developed from key health questions 1 and 2 (Table 4).

Table 4.

Core Recommendations Developed From Key Health Questions 1 and 2

Recommendation Co-commence metformin with high-risk antipsychotics (olanzapine or clozapine)
Strength: Strong recommendation for the intervention
Certainty of evidence: ⊕⊕⊝⊝ Low
Recommendation Co-commence metformin with medium-risk antipsychotics (quetiapine, paliperidone or risperidone) in the presence of one or more cardiometabolic risk factorsa or in people aged 10–25 years
Strength: Strong recommendation for the intervention
Certainty of evidence: ⊕⊕⊝⊝ Low
Recommendation Commence metformin with any antipsychotic if >3% increase in baseline body weight is observed during the first year of treatment with an antipsychotic
Strength: Strong recommendation for the intervention
Certainty of evidence: ⊕⊕⊝⊝ Low

aCardiometabolic risk factors to include one of: Hypertension, dyslipidaemia, diabetes (type 1 or 2), pre-diabetes (HbA1c 42–47 mmol/L or fasting glucose 6.1–6.9 mmol/L), BMI >25.

Key Health Question 3: What Dose of Metformin Should be Used for the Prevention of AIWG?

The doses used in studies evaluating metformin for the prevention of AIWG ranged from 500 mg/day to 2 g/day. Titration protocols were not always reported, but where available, doses were increased at weekly increments as tolerated. To our knowledge, there are no dose finding studies for AIWG and time-to-effect is uncertain. Without intervention, the time taken for AIWG to plateau is also uncertain and may differ between antipsychotics.71 The manufacturer recommends initiating metformin at a dose of 500 mg bd and increasing at weekly increments. Discussion at the consensus and endocrinology meetings among clinicians who routinely prescribe metformin in clinics for prevention and/or treatment of weight gain revealed variation in practice, with some sites opting for fortnightly dose titration and others increasing over 6–12 weeks. Doses above 2 g/day are not commonly used in practice for this indication. The final algorithm recommends weekly titration until a dose of 1 g/day and fortnightly titration thereafter as tolerated. Dose reductions are required in renal impairment and this criterion is included in the algorithm. This good practice recommendation incorporates data from the literature, licensing recommendations, and feedback from clinical practice. (Good Practice Recommendation).

Key Health Question 4: When Should Metformin be Stopped When it is Prescribed for the Prevention of AIWG?

According to the license, metformin should be discontinued if lactic acidosis is suspected or risks for lactic acidosis are present, temporarily prior to or at the time of the administration of iodinated contrast agents or if estimated glomerular filtration rate drops below 30 mL/min.72 We also recommend that metformin is discontinued if BMI is below 20 or if the antipsychotic medicine is discontinued. (Good Practice Recommendation)

Metformin should be avoided where there is harmful use of alcohol72 eg, Alcohol User Disorders Identification Test (AUDIT) score of 8 or more.73 (Good Practice Recommendation)

Additional Guideline Considerations Outside of the Key Health Questions.

In addition to answering the key health questions, important prescribing information, such as common side effects and monitoring recommendations were included in the algorithm.

The scope of this guideline was limited to the use of metformin for the prevention of AIWG. However, the guideline development group was cognizant of the availability of more effective treatments for people living with overweight or obesity. Glucagon-like peptide-1 (GLP-1) agonists have demonstrated a larger effect size than metformin when treating overweight or obesity, including that caused by antipsychotics MD −6 kg (95% CI −10.8 kg to −1.36 kg).74–77 Failure to include this information in our algorithm could create hesitancy to intervene to effectively manage existing overweight or obesity in people living with SMI. These treatments should be equally available to people with SMI as the general population. We therefore included the recommendation to initiate GLP-1 agonists according to the licensed indication.78 The recommendation to initiate GLP-1 agonists is supported by high certainty evidence and these recommendations have been included in national obesity guidelines in Canada and Ireland.24,31 Supply problems, cost and prescribing restrictions in certain countries mean accessing these treatments can be challenging and we have therefore included the recommendation to start metformin if access is a problem.79

Incorporating the Values of People Living with SMI

Patient and public partners were involved in the guideline development from concept and throughout development to ensure the values of service users were incorporated. Clinical experience within the guideline development group and steering group meant there was an understanding of the importance and challenges in managing AIWG for both service users and clinicians. Literature was reviewed for evidence of the psychological impact of AIWG. People living with SMI place significant value on the avoidance of AIWG. Among 202 callers to a UK National Mental Health helpline, weight gain was the most distressing side effect of antipsychotic treatment, reported by 45% of callers, 84% of whom rated this as quite or extremely distressing.80 Weight and subjective distress from AIWG are predictors of poor adherence to antipsychotic medicines. People living with obesity are 2.5 times more likely to discontinue medicine than nonobese people.81 When adjuvant medicines such as metformin are initiated to improve weight outcomes in people with SMI, they have also been found to improve antipsychotic adherence.40 Qualitative studies exploring the service user experience of weight gain describe people with psychosis being “catapulted into obesity” and “rapid and uncontrollable weight gain” at an early stage of treatment. Psychosis and treatment of SMI dominate the early stages of acute illness, but service users value early provision of information and prevention strategies to manage weight gain.82

Despite knowledge of the importance of the avoidance of weight gain in people with SMI, there is a paucity of evidence for the acceptability of metformin among people with SMI and, in particular, among younger people for whom factors such as pill burden may be significant. Similar dropout rates were observed in RCTs for the prevention of weight gain in the metformin versus control groups (5.8% versus 5.9%), but qualitative studies assessing the acceptability of metformin are lacking.5

Consensus Validation

During the consensus meeting, suggestions for change were agreed including recommendations to slow the rate of metformin dose titration to improve tolerance, expanding the inclusion criteria from age >16 years to >10 years in line with the license for Diabetes and more specific recommendations on the time frame for interpreting >3% body weight gain in the first year of treatment. The need to adjust BMI thresholds for ethnicity was also raised. The use of a lower BMI thresholds of >23 is recommended by NICE when intervening to reduce the risk of T2DM for black African, African-Caribbean and South Asian and Chinese groups. Similar adjustments for the identification of overweight/obesity would be advocated for when initiating metformin for the prevention of weight gain.35

Agreement was achieved among the consensus panel on the strength of the recommendations using an informal process where all in attendance graded the recommendations as strong according to GRADE methodology. In grading the three core recommendations as strong, the consensus panel considered the whole body of evidence for AIWG. The risk of harm from AIWG, the high prevalence of obesity in SMI, and significant psychological impact were considered in the evidence-to-decision framework (Supplementary file). The risk of harm from metformin was also considered. Metformin has a long-established safety profile with a very rare likelihood of serious harm. Metformin is also inexpensive with no equity, acceptability or feasibility concerns. Each of these factors indicated a clear net health benefit from metformin and in such circumstances, GRADE allows the formulation of strong recommendations.83,84

External Reviews

External reviewers assessed the guideline development methods as robust and transparent. Feedback was collated and incorporated into the guideline algorithm as appropriate. External review with endocrinology colleagues confirmed that whilst co-morbid diabetes was not a contra-indication to starting metformin, it would be reasonable to liaise with endocrinology colleagues before making adjustments to diabetes treatment.

Evidence-to-Decision

The evidence-to-decision table (Supplementary file) details the body of evidence considered in making the recommendations.

Final Guideline Algorithm

The final guideline algorithm (Figure 1) makes specific recommendations for co-commencement of metformin at initiation with specific antipsychotics or commencement if certain criteria are present specific. Given the well-documented benefits of behavior change interventions, including lifestyle and diet interventions, we recommend that these should always be offered and continued wherever metformin is offered. Essential prescribing information to support implementation is included in the form of good practice recommendations.

Figure 1.

Figure 1.

Guideline Algorithm

Discussion

Statement of Principle Findings

Metformin is the only pharmacological agent with demonstrated efficacy for preventing AIWG. Co-commencement with antipsychotic medicines can reduce the extent of weight gain compared to controls and there is some evidence that longer durations can achieve larger effect sizes for high-risk antipsychotic medicines. We describe robust methods for the development of a guideline for the use of metformin for the prevention of AIWG incorporating recommendations for co-commencement of metformin at initiation with an antipsychotic or commencement if certain criteria are present.

Strengths and Weaknesses of the Study

Whist the guideline development benefited from the contributions of experts in the areas of antipsychotic prescribing and management of metabolic side effects, this in itself creates potential for bias. People who do research in this area are likely to be biased in favor of the intervention and those who oppose using metformin, including people living with SMI, are more likely to do so in their practice instead of vocally in academic settings. An implementation strategy will include a cluster RCT, behavior change methods and evaluation of barriers and facilitators to implementation.

Guidelines, by their nature, have limitations inherent in their development and implementation. Even with high certainty evidence, the recommendation for or against an intervention will involve subjective judgments among a panel weighing the potential benefits against the potential harms.85 Values will influence the recommendations, and the values of the panel may not match that of the service user or the clinicians applying the guideline in practice.85 The development of this guideline followed an evidence-based framework (AGREE II) including consensus validation, independent external reviews, and incorporated the values of service users by involving PPI partners from concept development.

There is low certainty evidence for the use of metformin for preventing AIWG. Adjunctive metformin has not been studied with all antipsychotics and there is heterogeneity among the populations studied. For example, the large cohort study by Stogios et al. had relatively high BMI at baseline, whereas the meta-analysis by Yu et al. included studies from China where the participants had normal BMI at baseline and low mean body weights.29,40 However, the overall body of evidence for metformin and clinical expertise was considered in an attempt to provide a pragmatic approach to addressing a problem that has significant long-term impact on health and well-being with a relatively low-risk intervention. The effect size for the prevention of weight gain is not described in the literature. Effect size as well as the certainty of evidence informs the strength of recommendations.83 The authors propose that 3–5 kg is a large effect size for the prevention of weight gain and the evidence-to-decision framework is based on this judgement.

Awaiting the funding and delivery of research needed to generate high certainty GRADE evidence will ultimately not serve people with SMI who are exposed to the risk of weight gain from antipsychotic medicine. GRADE encourages panels to “deal with discomfort” and make recommendations so that clinicians can offer treatment, patients can make choices, and policy makers can establish policies.86

Barriers and facilitators to implementation have been considered but will be further evaluated. Metformin is cost-effective and easily accessible, which should serve as a facilitator. The algorithm itself was noted to be a potential facilitator for implementation due to the clear, concise, and unambiguous illustration of the recommendations. Potential resource implications have been considered.

The perception that metformin may contribute to polypharmacy was raised at the consensus meeting as a potential barrier to implementation. Polypharmacy and potentially inappropriate prescribing have been areas of concern for decades, not least among people with SMI. More recently, the concept of appropriate polypharmacy has been recognized as the legitimate goal of managing multiple conditions in the same patient. It should no longer be assumed that polypharmacy is always harmful and clinical context should be considered where many medicines may need to be prescribed to manage co-morbid illness.87,88 The fact that people with SMI place significant value on the avoidance of weight gain and that metformin has been associated with improved antipsychotic adherence when prescribed alongside clozapine indicates strongly that this is appropriate polypharmacy but this will be evaluated as part of the implementation strategy.40

Unanswered Questions and Future Research

Shared decision-making, the joint process in which a healthcare professional works together with a person to make a decision about their care, is fundamental to guideline implementation.89 This supports a human-rights based approach where people living with SMI are empowered to make informed decisions about their treatment. Following feedback from PPI partners, a concise, plain English version of the algorithm has been developed into a video resource to support implementation. Shared decision-making support packages for clinicians and service users will also be developed. Future iterations of this guidance may include prognostic tools to help delineate a primary prevention approach encompassing features of universal and high-risk strategies, similar to guidelines for cardiometabolic primary prevention in the general population. eg, NICE Guideline for Cardiovascular Disease (NG238)58 Evaluation and review of the guideline will include a revision of the guideline in 3 years’ time with a review of emerging evidence for the use of metformin for the prevention of AIWG.

It has been suggested that people with SMI may benefit from the use of GLP-1 agonists at an earlier stage due to barriers in accessing specialist weight management services.79 As the evidence for the use of GLP-1 agonists for AIWG expands, future iterations of this guideline may include lower thresholds for GLP-1 agonists.

Conclusion

Metformin is the only pharmacological agent that has demonstrated efficacy for preventing AIWG and this research describes the development of a clinical practice guideline for this indication using robust and transparent methods following an evidence-based framework. The algorithm contains core recommendations for co-commencement of metformin at initiation with an antipsychotic or commencement if certain criteria are present. Essential prescribing information in the form of good practice recommendations has been included to support implementation. Implementation and evaluation of the guideline will be supported by a shared decision-making package and assessment of barriers and facilitators to implementation.

Supplementary Material

sbae205_suppl_Supplementary_Material

Contributor Information

Aoife Carolan, Pharmacy Department, Saint John of God Hospital, Dublin, A94 FH92, Ireland; School of Pharmacy and Biomolecular Science, Royal College of Surgeons, D02 V951, Dublin, Ireland.

Caroline Hynes-Ryan, Pharmacy Department, Saint John of God Hospital, Dublin, A94 FH92, Ireland; School of Pharmacy and Biomolecular Science, Royal College of Surgeons, D02 V951, Dublin, Ireland.

Sri Mahavir Agarwal, Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, ON, M5T 1R8, Canada; Institute of Medical Sciences, University of Toronto, Toronto, ON, M5 S1A8, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, M5T1R8, Canada; Banting and Best Diabetes Centre, University of Toronto, Toronto, ON, M5G 2C4, Canada.

Rita Bourke, Pharmacy Department, Saint John of God Hospital, Dublin, A94 FH92, Ireland.

Walter Cullen, School of Medicine, University College Dublin, Dublin, D04 V1W8, Ireland.

Fiona Gaughran, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, SE5 8AF, United Kingdom; South London and Maudsley NHS Foundation Trust, London, BR3 3BX, United Kingdom.

Margaret K Hahn, Schizophrenia Division, Centre for Addiction and Mental Health (CAMH), Toronto, ON, M5T 1R8, Canada; Institute of Medical Sciences, University of Toronto, Toronto, ON, M5 S1A8, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, M5T1R8, Canada; Banting and Best Diabetes Centre, University of Toronto, Toronto, ON, M5G 2C4, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, M5S 1A8, Canada; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, DK-2200, Denmark.

Amir Krivoy, Geha Mental Health Centre, Petal Tikva, 49100, Israel; Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv-Yafo, 6997801, Israel.

John Lally, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, SE5 8AF, United Kingdom; Department of Psychiatry, St Vincent’s Hospital Fairview and North Dublin City Mental Health Services, Dublin, D03 XK40, Ireland; Department of Psychiatry, School of Medicine, University College Dublin, Dublin, D04 V1W8, Ireland.

Stefan Leucht, Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Klinikum rechts der Isar, Munich, 81675, Germany.

John Lyne, Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin 2, D02 V951, Ireland; Newcastle Hospital, Co. Wicklow, A63 CD30, Ireland.

Robert A McCutcheon, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, SE5 8AF, United Kingdom; Department of Psychiatry, University of Oxford, Oxford, OX3 7JX, United Kingdom; Oxford Health NHS Foundation Trust, Oxford, OX3 7JX, United Kingdom.

Michael J Norton, St Loman’s Hospital, Westmeath, N91T3PR, Ireland; University College Cork, Cork, T12 K8AF, Ireland.

Karen O’Connor, RISE, Early Intervention in Psychosis Team, South Lee Mental Health Services, Cork, T12 YEO2, Ireland; Department of Psychiatry and Neurobehavioral Science, University College Cork, T12 K8AF, Cork, Ireland.

Benjamin I Perry, Department of Psychiatry, University of Cambridge, Cambridge, CB20SZ, United Kingdom; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, United Kingdom.

Toby Pillinger, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College, London, SE5 8AF, United Kingdom.

David Shiers, Psychosis Research Unit, Greater Manchester Mental Health NHS Trust Rico House, Manchester, M25 9WS, United Kingdom; University of Manchester, Manchester, M13 9PL, United Kingdom; School of Medicine, Keele University, Newcastle, ST5 5BG,United Kingdom.

Dan Siskind, Addiction and Mental Health Service, Metro South Health, Brisbane, Queensland, QLD 4114, Australia; Faculty of Medicine, University of Queensland, Brisbane, Queensland, QLD 4006, Australia.

Andrew Thompson, Orygen Youth Mental Health, Melbourne, Victoria, VIC 3052, Australia; Department of Psychiatry, University of Melbourne, Melbourne, Victoria, VIC 3010, Australia.

Donal O’Shea, School of Medicine, University College Dublin, Dublin, D04 V1W8, Ireland; Department of Endocrinology, St Vincent’s University Hospital, Dublin, D04 T6F4, Ireland.

Dolores Keating, Pharmacy Department, Saint John of God Hospital, Dublin, A94 FH92, Ireland; School of Pharmacy and Biomolecular Science, Royal College of Surgeons, D02 V951, Dublin, Ireland.

Brian O’Donoghue, School of Medicine, University College Dublin, Dublin, D04 V1W8, Ireland; Department of Psychiatry, School of Medicine, University College Dublin, Dublin, D04 V1W8, Ireland; Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin 2, D02 V951, Ireland; Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, VIC 3010, Australia.

Author Contributions

B.O.D., D.K. and members of the Psychosis, Recovery, Optimisation through Guidelines and Research-based Evidence in Service Strategies (PROGRESS) steering group developed the concept for this research. A.C., C.H., D.K. and B.O.D. developed the guideline, conducted data extraction and evidence assessments. C.H., B.O.D. and D.K. participated in a substantive review of the manuscript. The authors read and approved the final manuscript.

Funding

This work is supported by the Health Research Board (grant no. APRO-2023-005). The views of the funding body have not influenced the research or the content of the guideline.

Data Availability

All research data is included in the supplementary file.

References

  • 1. National Mental Health Intelligence Network. Premature mortality in adults with severe mental illness (SMI). Office for Health Improvement & Disparities. 2023. [Google Scholar]
  • 2. Cooper  SJ, Reynolds  GP, Barnes  T, et al.  BAP guidelines on the management of weight gain, metabolic disturbances and cardiovascular risk associated with psychosis and antipsychotic drug treatment. J Psychopharmacol.  2016;30:717–748. https://doi.org/ 10.1177/0269881116645254 [DOI] [PubMed] [Google Scholar]
  • 3. Carolan  A, Hynes  C, McWilliams  S, Ryan  C, Strawbridge  J, Keating  D.  Cardiometabolic risk in people under 40 years with severe mental illness: reading between the guidelines. Int J Clin Pharm  2023;45:1299–1301. https://doi.org/ 10.1007/s11096-023-01600-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. World Health Organisation. Management of Physical Health Conditions in Adults with Severe Mental Disorders. WHO Guidelines Approved by the Guidelines Review Committee; 2018. [Google Scholar]
  • 5. Agarwal  SM, Stogios  N, Ahsan  ZA, et al.  Pharmacological interventions for prevention of weight gain in people with schizophrenia. Cochrane Database Syst Rev.  2022;10:CD013337. https://doi.org/ 10.1002/14651858.CD013337.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Galletly  CA, Foley  DL, Waterreus  A, et al.  Cardiometabolic risk factors in people with psychotic disorders: the second Australian national survey of psychosis. Aust N Z J Psychiatry.  2012;46:753–761. https://doi.org/ 10.1177/0004867412453089 [DOI] [PubMed] [Google Scholar]
  • 7. Perez-Iglesias  R, Martinez-Garcia  O, Pardo-Garcia  G, et al.  Course of weight gain and metabolic abnormalities in first treated episode of psychosis: the first year is a critical period for development of cardiovascular risk factors. Int J Neuropsychopharmacol.  2014;17:41–51. https://doi.org/ 10.1017/S1461145713001053 [DOI] [PubMed] [Google Scholar]
  • 8. Bushe  CJ, Slooff  CJ, Haddad  PM, Karagianis  JL.  Weight change by baseline BMI from three-year observational data: findings from the Worldwide Schizophrenia Outpatient Health Outcomes Database. J Psychopharmacol.  2013;27:358–365. https://doi.org/ 10.1177/0269881112473789 [DOI] [PubMed] [Google Scholar]
  • 9. Kahn  RS, Fleischhacker  WW, Boter  H, et al.  Effectiveness of antipsychotic drugs in first-episode schizophrenia and schizophreniform disorder: an open randomised clinical trial. Lancet.  2008;371:1085–1097. https://doi.org/ 10.1016/S0140-6736(08)60486-9 [DOI] [PubMed] [Google Scholar]
  • 10. Heald  A, Daly  C, Warner-Levy  JJ, et al.  Weight change following diagnosis with psychosis: a retrospective cohort study in Greater Manchester, UK. Ann Gen Psychiatry  2024;23:1. https://doi.org/ 10.1186/s12991-023-00485-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Vermeulen  J, van Rooijen  G, Doedens  P, Numminen  E, van Tricht  M, de Haan  L.  Antipsychotic medication and long-term mortality risk in patients with schizophrenia; a systematic review and meta-analysis. Psychol Med.  2017;47:2217–2228. https://doi.org/ 10.1017/S0033291717000873 [DOI] [PubMed] [Google Scholar]
  • 12. Correll  CU, Bitter  I, Hoti  F, et al.  Factors and their weight in reducing life expectancy in schizophrenia. Schizophr Res.  2022;250:67–75. https://doi.org/ 10.1016/j.schres.2022.10.019 [DOI] [PubMed] [Google Scholar]
  • 13. Stogios  N, Humber  B, Agarwal  SM, Hahn  M.  Antipsychotic-induced weight gain in severe mental illness: risk factors and special considerations. Curr Psychiatry Rep.  2023;25:707–721. https://doi.org/ 10.1007/s11920-023-01458-0 [DOI] [PubMed] [Google Scholar]
  • 14. Pillinger  T, McCutcheon  RA, Vano  L, et al.  Comparative effects of 18 antipsychotics on metabolic function in patients with schizophrenia, predictors of metabolic dysregulation, and association with psychopathology: a systematic review and network meta-analysis. Lancet Psychiatry  2020;7:64–77. https://doi.org/ 10.1016/S2215-0366(19)30416-X [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Carolan  A, Keating  D, McWilliams  S, et al.  The development and validation of a medicines optimisation tool to protect the physical health of people with severe mental illness (OPTIMISE). BMC Psychiatry  2022;22:585. https://doi.org/ 10.1186/s12888-022-04235-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Wykes  T, Evans  J, Paton  C, et al.  What side effects are problematic for patients prescribed antipsychotic medication? The maudsley side effects (MSE) measure for antipsychotic medication. Psychol Med.  2017;47:2369–2378. https://doi.org/ 10.1017/S0033291717000903 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Ashoorian  D, Davidson  R, Rock  D, Dragovic  M, Clifford  R.  A clinical communication tool for the assessment of psychotropic medication side effects. Psychiatry Res.  2015;230:643–657. https://doi.org/ 10.1016/j.psychres.2015.10.022 [DOI] [PubMed] [Google Scholar]
  • 18. Hynes  C, McWilliams  S, Clarke  M, et al.  Check the effects: systematic assessment of antipsychotic side-effects in an inpatient cohort. Ther Adv Psychopharmacol  2020;10:2045125320957119. https://doi.org/ 10.1177/2045125320957119 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Strassnig  M, Brar  JS, Ganguli  R.  Body mass index and quality of life in community-dwelling patients with schizophrenia. Schizophr Res.  2003;62:73–76. https://doi.org/ 10.1016/s0920-9964(02)00441-3 [DOI] [PubMed] [Google Scholar]
  • 20. Faulkner  G, Cohn  T, Remington  G, Irving  H.  Body mass index, waist circumference and quality of life in individuals with schizophrenia. Schizophr Res.  2007;90:174–178. https://doi.org/ 10.1016/j.schres.2006.10.009 [DOI] [PubMed] [Google Scholar]
  • 21. Speyer  H, Westergaard  C, Albert  N, et al.  Reversibility of antipsychotic-induced weight gain: a systematic review and meta-analysis. Front Endocrinol.  2021;12:577919. https://doi.org/ 10.3389/fendo.2021.577919 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Siskind  D, Gallagher  E, Winckel  K, et al.  Does switching antipsychotics ameliorate weight gain in patients with severe mental illness? A systematic review and meta-analysis. Schizophr Bull.  2021;47:948–958. https://doi.org/ 10.1093/schbul/sbaa191 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Bak  M, Drukker  M, Cortenraad  S, Vandenberk  E, Guloksuz  S.  Antipsychotics result in more weight gain in antipsychotic naive patients than in patients after antipsychotic switch and weight gain is irrespective of psychiatric diagnosis: a meta-analysis. PLoS One.  2021;16:e0244944. https://doi.org/ 10.1371/journal.pone.0244944 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Breen  C, O’Connell  J, Geoghegan  J, et al.  Obesity in adults: a 2022 adapted clinical practice guideline for Ireland. Obes Facts  2022;15:736–752. https://doi.org/ 10.1159/000527131 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. O’Donoghue  B, Mifsud  N, Castagnini  E, et al.  A single-blind, randomised controlled trial of a physical health nurse intervention to prevent weight gain and metabolic complications in first-episode psychosis: the physical health assistance in early psychosis (PHAstER) study. BJPsych Open  2022;8:e189. https://doi.org/ 10.1192/bjo.2022.590 [published Online First: 20221018] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Fitzgerald  I, Crowley  EK, Ni Dhubhlaing  C, O'Dwyer  S, Sahm  LJ.  Informing the development of antipsychotic-induced weight gain management guidance: patient experiences and preferences - qualitative descriptive study. BJPsych Open  2024;10:e136. https://doi.org/ 10.1192/bjo.2024.725 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. de Silva  VA, Suraweera  C, Ratnatunga  SS, Dayabandara  M, Wanniarachchi  N, Hanwella  R.  Metformin in prevention and treatment of antipsychotic induced weight gain: a systematic review and meta-analysis. BMC Psychiatry  2016;16:341. https://doi.org/ 10.1186/s12888-016-1049-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Siskind  DJ, Leung  J, Russell  AW, Wysoczanski  D, Kisely  S.  Metformin for clozapine associated obesity: a systematic review and meta-analysis. PLoS One.  2016;11:e0156208. https://doi.org/ 10.1371/journal.pone.0156208 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Yu  O, Lu  M, Lai  TKY, et al.  Metformin co-commencement at time of antipsychotic initiation for attenuation of weight gain: a systematic review and meta-analysis. Ther Adv Psychopharmacol  2024;14:20451253241255476. https://doi.org/ 10.1177/20451253241255476 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Brouwers  MC, Kho  ME, Browman  GP, et al.  AGREE II: advancing guideline development, reporting, and evaluation in health care. Prev Med.  2010;51:421–424. https://doi.org/ 10.1016/j.ypmed.2010.08.005 [DOI] [PubMed] [Google Scholar]
  • 31. Wharton  S, Lau  DCW, Vallis  M, et al.  Obesity in adults: a clinical practice guideline. CMAJ.  2020;192:E875–E891. https://doi.org/ 10.1503/cmaj.191707 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Fitzgerald  I, O’Connell  J, Keating  D, Hynes  C, McWilliams  S, Crowley  EK.  Metformin in the management of antipsychotic-induced weight gain in adults with psychosis: development of the first evidence-based guideline using GRADE methodology. Evid Based Ment Health.  2022;25:15–22. https://doi.org/ 10.1136/ebmental-2021-300291 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Hasan  A, Falkai  P, Wobrock  T, et al. ; WFSBP Task Force on Treatment Guidelines for Schizophrenia. World Federation of Societies of Biological Psychiatry (WFSBP) guidelines for biological treatment of schizophrenia - a short version for primary care. Int J Psychiatry Clin Pract.  2017;21:82–90. https://doi.org/ 10.1080/13651501.2017.1291839 [DOI] [PubMed] [Google Scholar]
  • 34. Galletly  C, Castle  D, Dark  F, et al.  Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for the management of schizophrenia and related disorders. Aust N Z J Psychiatry.  2016;50:410–472. https://doi.org/ 10.1177/0004867416641195 [DOI] [PubMed] [Google Scholar]
  • 35. National Institute for Health and Care Excellence (NICE). Preventing Excess Weight Gain (NG 7). 2017. [Google Scholar]
  • 36. McIntyre  RS, Alsuwaidan  M, Goldstein  BI, et al.  The canadian network for mood and anxiety treatments (CANMAT) task force recommendations for the management of patients with mood disorders and comorbid metabolic disorders. Ann Clin Psychiatry.  2012;24:69–81. [PubMed] [Google Scholar]
  • 37. Pringsheim  T, Panagiotopoulos  C, Davidson  J, Ho  J.  Evidence-based recommendations for monitoring safety of second-generation antipsychotics in children and youth. Paediatr Child Health.  2011;16:581–589. [PMC free article] [PubMed] [Google Scholar]
  • 38. Scottish Intercollegiate Guidelines Network (SIGN). Management of Obesity. (SIGN Guideline No 115); 2010. [Google Scholar]
  • 39. Perry  BI, Mitchell  C, Holt  RI, Shiers  D, Chew-Graham  CA.  Lester positive cardiometabolic resource update: improving cardiometabolic outcomes in people with severe mental illness. Br J Gen Pract.  2023;73:488–489. https://doi.org/ 10.3399/bjgp23X735273 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Stogios  N, Maksyutynska  K, Navagnanavel  J, et al.  Metformin for the prevention of clozapine-induced weight gain: a retrospective naturalistic cohort study. Acta Psychiatr Scand.  2022;146:190–200. https://doi.org/ 10.1111/acps.13462 [DOI] [PubMed] [Google Scholar]
  • 41. Feldman  AL, Griffin  SJ, Ahern  AL, et al.  Impact of weight maintenance and loss on diabetes risk and burden: a population-based study in 33,184 participants. BMC Public Health  2017;17:170. https://doi.org/ 10.1186/s12889-017-4081-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Awoke  MA, Harrison  CL, Martin  J, Misso  ML, Lim  S, Moran  LJ.  Behaviour change techniques in weight gain prevention interventions in adults of reproductive age: meta-analysis and meta-regression. Nutrients  2022;14:209. https://doi.org/ 10.3390/nu14010209 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Huhn  M, Nikolakopoulou  A, Schneider-Thoma  J, et al.  Comparative efficacy and tolerability of 32 oral antipsychotics for the acute treatment of adults with multi-episode schizophrenia: a systematic review and network meta-analysis. Lancet.  2019;394:939–951. https://doi.org/ 10.1016/S0140-6736(19)31135-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Burschinski  A, Schneider-Thoma  J, Chiocchia  V, et al.  Metabolic side effects in persons with schizophrenia during mid- to long-term treatment with antipsychotics: a network meta-analysis of randomized controlled trials. World Psychiatry  2023;22:116–128. https://doi.org/ 10.1002/wps.21036 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Dong  S, Schneider-Thoma  J, Bighelli  I, et al.  A network meta-analysis of efficacy, acceptability, and tolerability of antipsychotics in treatment-resistant schizophrenia. Eur Arch Psychiatry Clin Neurosci.  2023;274:917–928. https://doi.org/ 10.1007/s00406-023-01654-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Fitzgerald  I, Sahm  LJ, Byrne  A, et al.  Predicting antipsychotic-induced weight gain in first episode psychosis - a field-wide systematic review and meta-analysis of non-genetic prognostic factors. Eur Psychiatry.  2023;66:e42. https://doi.org/ 10.1192/j.eurpsy.2023.2417 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Keating  D, McWilliams  S, Schneider  I, et al.  Pharmacological guidelines for schizophrenia: a systematic review and comparison of recommendations for the first episode. BMJ Open  2017;7:e013881. https://doi.org/ 10.1136/bmjopen-2016-013881 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Osser  DN, Roudsari  MJ, Manschreck  T.  The psychopharmacology algorithm project at the harvard south shore program: an update on schizophrenia. Harv Rev Psychiatry.  2013;21:18–40. https://doi.org/ 10.1097/HRP.0b013e31827fd915 [DOI] [PubMed] [Google Scholar]
  • 49. Buchanan  RW, Kreyenbuhl  J, Kelly  DL, et al.  The 2009 schizophrenia PORT psychopharmacological treatment recommendations and summary statements. Schizophr Bull.  2010;36:71–93. https://doi.org/ 10.1093/schbul/sbp116 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Perry  BI, Upthegrove  R, Crawford  O, et al.  Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis. Acta Psychiatr Scand.  2020;142:215–232. https://doi.org/ 10.1111/acps.13212 [DOI] [PubMed] [Google Scholar]
  • 51. Perry  BI, Osimo  EF, Upthegrove  R, et al.  Development and external validation of the psychosis metabolic risk calculator (PsyMetRiC): a cardiometabolic risk prediction algorithm for young people with psychosis. Lancet Psychiatry  2021;8:589–598. https://doi.org/ 10.1016/S2215-0366(21)00114-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Pillinger  T, Howes  OD, Correll  CU, et al.  Antidepressant and antipsychotic side-effects and personalised prescribing: a systematic review and digital tool development. Lancet Psychiatry  2023;10:860–876. https://doi.org/ 10.1016/S2215-0366(23)00262-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Alvarez-Jimenez  M, Gonzalez-Blanch  C, Crespo-Facorro  B, et al.  Antipsychotic-induced weight gain in chronic and first-episode psychotic disorders: a systematic critical reappraisal. CNS Drugs  2008;22:547–562. https://doi.org/ 10.2165/00023210-200822070-00002 [DOI] [PubMed] [Google Scholar]
  • 54. Correll  CU, Manu  P, Olshanskiy  V, Napolitano  B, Kane  JM, Malhotra  AK.  Cardiometabolic risk of second-generation antipsychotic medications during first-time use in children and adolescents. JAMA.  2009;302:1765–1773. https://doi.org/ 10.1001/jama.2009.1549 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Rogdaki  M, McCutcheon  RA, D’Ambrosio  E, et al.  Comparative physiological effects of antipsychotic drugs in children and young people: a network meta-analysis. Lancet Child Adolesc Health  2024;8:510–521. https://doi.org/ 10.1016/S2352-4642(24)00098-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Radojcic  MR, Pierce  M, Hope  H, et al.  Trends in antipsychotic prescribing to children and adolescents in England: cohort study using 2000-19 primary care data. Lancet Psychiatry  2023;10:119–128. https://doi.org/ 10.1016/S2215-0366(22)00404-7 [DOI] [PubMed] [Google Scholar]
  • 57. De Hert  M, van Winkel  R, Van Eyck  D, et al.  Prevalence of diabetes, metabolic syndrome and metabolic abnormalities in schizophrenia over the course of the illness: a cross-sectional study. Clin Pract Epidemiol Ment Health  2006;2:14. https://doi.org/ 10.1186/1745-0179-2-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. National Institute for Health and Care Excellence (NICE). Cardiovascular Disease: Risk Assessment and Reduction, Including Lipid Modification. NG238; 2023. [PubMed] [Google Scholar]
  • 59. Royal College of Psychiatrists (RCPsych). National Clinical Audit of Psychosis: Early Intervention in Psychosis Audit. National Report for Ireland; 2022. [Google Scholar]
  • 60. Royal College of Psychiatrists (RCPsych). National Clinical Audit of Psychosis – Ireland. National Report for the Early Intervention in Psychosis Audit 2020/2021. Healthcare Quality Improvement Partnership; 2021. [Google Scholar]
  • 61. Willett  WC, Manson  JE, Stampfer  MJ, et al.  Weight, weight change, and coronary heart disease in women. Risk within the ‘normal’ weight range. JAMA.  1995;273:461–465. https://doi.org/ 10.1001/jama.1995.03520300035033 [DOI] [PubMed] [Google Scholar]
  • 62. Vochoskova  K, McWhinney  SR, Fialova  M, et al.  Weight and metabolic changes in early psychosis-association with daily quantification of medication exposure during the first hospitalization. Acta Psychiatr Scand.  2023;148:265–276. https://doi.org/ 10.1111/acps.13594 [DOI] [PubMed] [Google Scholar]
  • 63. Vandenberghe  F, Gholam-Rezaee  M, Saigi-Morgui  N, et al.  Importance of early weight changes to predict long-term weight gain during psychotropic drug treatment. J Clin Psychiatry.  2015;76:e1417–e1423. https://doi.org/ 10.4088/JCP.14m09358 [DOI] [PubMed] [Google Scholar]
  • 64. Huang  J, Hei  GR, Yang  Y, et al.  Increased appetite plays a key role in olanzapine-induced weight gain in first-episode schizophrenia patients. Front Pharmacol.  2020;11:739. https://doi.org/ 10.3389/fphar.2020.00739 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Eder  J, Glocker  C, Barton  B, et al.  Who is at risk for weight gain after weight-gain associated treatment with antipsychotics, antidepressants, and mood stabilizers: a machine learning approach. Acta Psychiatr Scand.  2024;10:1– 14. https://doi.org/ 10.1111/acps.13684 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Stevens  J, Truesdale  KP, McClain  JE, Cai  J.  The definition of weight maintenance. Int J Obes (Lond).  2006;30:391–399. https://doi.org/ 10.1038/sj.ijo.0803175 [DOI] [PubMed] [Google Scholar]
  • 67. McIntyre  RS, Kwan  ATH, Rosenblat  JD, Teopiz  KM, Mansur  RB.  Psychotropic Drug-Related Weight Gain and Its Treatment. Am J Psychiatry.  2024;181:26–38. https://doi.org/ 10.1176/appi.ajp.20230922 [DOI] [PubMed] [Google Scholar]
  • 68. Campforts  B, Drukker  M, Crins  J, van Amelsvoort  T, Bak  M.  Association between antipsychotic medication and clinically relevant weight change: meta-analysis. BJPsych Open  2023;9:e18. https://doi.org/ 10.1192/bjo.2022.619 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Tucker  LA, Parker  K.  10-Year weight gain in 13,802 US adults: the role of age, sex, and race. J Obes  2022;2022:7652408. https://doi.org/ 10.1155/2022/7652408 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Kuczmarski  RJ, Ogden  CL, Guo  SS, et al.  2000 CDC growth charts for the United States: methods and development. Vital Health Stat. 2002;246:1–190. [PubMed] [Google Scholar]
  • 71. Rummel-Kluge  C, Komossa  K, Schwarz  S, et al.  Head-to-head comparisons of metabolic side effects of second generation antipsychotics in the treatment of schizophrenia: a systematic review and meta-analysis. Schizophr Res.  2010;123:225–233. https://doi.org/ 10.1016/j.schres.2010.07.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72. Merck. Glucophage 500mg film-coated tablets. Summary of product characteristics. 2022. [updated 10/10/2022]. Accessed 06 March 2024. https://www.medicines.ie/medicines/glucophage-500mg-film-coated-tablets-32305/spc#tabs [Google Scholar]
  • 73. Gaughran  F, Stahl  D, Stringer  D, et al.  Effect of lifestyle, medication and ethnicity on cardiometabolic risk in the year following the first episode of psychosis: prospective cohort study. Br J Psychiatry.  2019;215:712–719. https://doi.org/ 10.1192/bjp.2019.159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Prasad  F, De  R, Korann  V, et al.  Semaglutide for the treatment of antipsychotic-associated weight gain in patients not responding to metformin - a case series. Ther Adv Psychopharmacol  2023;13:20451253231165169. https://doi.org/ 10.1177/20451253231165169 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Ishoy  PL, Knop  FK, Broberg  BV, et al.  Effect of GLP-1 receptor agonist treatment on body weight in obese antipsychotic-treated patients with schizophrenia: a randomized, placebo-controlled trial. Diabetes Obes Metab.  2017;19:162–171. https://doi.org/ 10.1111/dom.12795 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Vasiliu  O.  Therapeutic management of atypical antipsychotic‑related metabolic dysfunctions using GLP‑1 receptor agonists: a systematic review. Exp Ther Med  2023;26:355. https://doi.org/ 10.3892/etm.2023.12054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Stevens  H, Smith  J, Bussey  L, et al.  Weight management interventions for adults living with overweight or obesity and severe mental illness: a systematic review and meta-analysis. Br J Nutr.  2023;130:536–552. https://doi.org/ 10.1017/S0007114522003403 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. A/S NN. Wegovy 0.25mg solution for injection in pre-filled pen. Summary of product characteristics 2022 [updated 06/01/2022]. Accessed 10 April 2024  https://www.ema.europa.eu/en/documents/product-information/wegovy-epar-product-information_en.pdf <&gt. [Google Scholar]
  • 79. National Institute for Health and Care Excellence (NICE). Semaglutide for Managing Overweight and Obesity (TA875). 2023. [PubMed] [Google Scholar]
  • 80. Fakhoury  WK, Wright  D, Wallace  M.  Prevalence and extent of distress of adverse effects of antipsychotics among callers to a United Kingdom national mental health helpline. Int Clin Psychopharmacol.  2001;16:153–162. https://doi.org/ 10.1097/00004850-200105000-00004 [DOI] [PubMed] [Google Scholar]
  • 81. Weiden  PJ, Mackell  JA, McDonnell  DD.  Obesity as a risk factor for antipsychotic noncompliance. Schizophr Res.  2004;66:51–57. https://doi.org/ 10.1016/s0920-9964(02)00498-x [DOI] [PubMed] [Google Scholar]
  • 82. Waite  F, Langman  A, Mulhall  S, et al.  The psychological journey of weight gain in psychosis. Psychol Psychother.  2022;95:525–540. https://doi.org/ 10.1111/papt.12386 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Guyatt  GH, Oxman  AD, Vist  GE, et al.  GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ  2008;336:924–926. https://doi.org/ 10.1136/bmj.39489.470347.AD [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Guyatt  GH, Oxman  AD, Kunz  R, et al.  Going from evidence to recommendations. BMJ  2008;336:1049–1051. https://doi.org/ 10.1136/bmj.39493.646875.AE [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Woolf  SH, Grol  R, Hutchinson  A, Eccles  M, Grimshaw  J.  Clinical guidelines: potential benefits, limitations, and harms of clinical guidelines. BMJ  1999;318:527–530. https://doi.org/ 10.1136/bmj.318.7182.527 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86. Andrews  J, Guyatt  G, Oxman  AD, et al.  GRADE guidelines: 14. Going from evidence to recommendations: the significance and presentation of recommendations. J Clin Epidemiol.  2013;66:719–725. https://doi.org/ 10.1016/j.jclinepi.2012.03.013 [DOI] [PubMed] [Google Scholar]
  • 87. Cadogan  CA, Ryan  C, Hughes  CM.  Appropriate polypharmacy and medicine safety: when many is not too many. Drug Saf.  2016;39:109–116. https://doi.org/ 10.1007/s40264-015-0378-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Hughes  C.  Appropriate and inappropriate polypharmacy-choosing the right strategy. Br J Clin Pharmacol.  2021;87:84–86. https://doi.org/ 10.1111/bcp.14589 [DOI] [PubMed] [Google Scholar]
  • 89. National Institute for Health and Care Excellence (NICE). Shared Decision Making: National Institute for Health and Care Excellence. 2021. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

sbae205_suppl_Supplementary_Material

Data Availability Statement

All research data is included in the supplementary file.


Articles from Schizophrenia Bulletin are provided here courtesy of Oxford University Press

RESOURCES