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Guidelines for dementia or Parkinson’s disease with depression or anxiety: a systematic review



Depression and anxiety remain under-diagnosed and under-treated in those with neurologic diseases such as dementia or Parkinson’s Disease (PD). Our objectives were to first, to provide a synthesis of high quality guidelines available for the identification and management of depression or anxiety in those with dementia or PD. Second, to identify areas for improvement for future guidelines.


We searched MEDLINE, PsycINFO, and EMBASE (2009 to July 24, 2015), grey literature (83 sources; July 24-Sept 6, 2015), and bibliographies of included studies. Included studies were evaluated for quality by four independent reviewers the AGREE II tool. Guideline characteristics, statements and recommendations relevant to depression or anxiety for dementia and PD were then extracted. (PROSPERO CRD: 42016014584)


8121 citations were reviewed with 31 full text articles included for assessment with the AGREE II tool. 17 were of sufficient quality for inclusion. Mean overall quality scores were between 4.25 to 6.5. Domain scores were lowest in the areas of stakeholder involvement, applicability, and editorial independence.

Recommendations for the screening and diagnosis of depression were found for PD and dementia. There was little evidence to guide diagnosis or management of anxiety. Non-pharmacologic therapies were recommended for dementia patients. Most advocated pharmacologic treatment for depression, for both PD and dementia, but did not specify an agent due to lack of evidence.


The available recent high quality guidelines outline several recommendations for the management of comorbid depression or anxiety in PD or dementia. However there remain significant gaps in the evidence.

Peer Review reports


Persons experiencing neurologic disorders, such as dementia or Parkinson’s disease (PD), and depressive or anxiety disorders have poorer outcomes with reduced quality of life, poor functional status and worsened cognition [18].

It is estimated that the prevalence of depression in dementia is approximately 25% with anxiety occurring in up to 75% [7, 911]. In PD, approximately 17% of patients experience major depression and anxiety between 3.6 to 40% [2, 12].

Despite awareness of these comorbidities, depression and anxiety remain under-diagnosed and under-treated in those with neurologic diseases [1, 3, 1317]. Only 20% of PD patients diagnosed with depression receive therapy [18]. This represents a significant knowledge-to-practice gap. One way to address this is through the use of Clinical Practice Guidelines (CPGs) [19]. CPGs synthesize available evidence based on a systematic review of the literature, clinical expertise and patient preferences [19]. CPGs are targeted at practitioners who apply the recommendations to clinical decision-making and reduce disparities in care [1922].

Thus, in the setting of PD and dementia, CPGs should enable the appropriate management of depression and anxiety [2326]. Despite available CPGs, these disorders remain under-managed, suggesting these CPGs are underused or lack sufficient recommendations [2628]. Multiple available guidelines of varied quality leads to uncertainty as to which CPGs should be used in practice. Our primary aim is to synthesize the high-quality evidence-based CPGs available for diagnosis, and management of depression or anxiety in those with dementia or PD. We chose to summarize and evaluate guidelines as the majority of physicians will use CPGs as a tool to review evidence and inform practice. Secondarily we aim to, identify areas gaps within the existing guidelines to inform future guideline development. This provides a broad over view of evidence in the area and identifies areas for further study and development.


The study protocol follows the recommendations provided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)—Protocols Statement [29] and guidelines and the protocol was registered with PROSPERO [30] (CRD: 42016014584).

Search strategy

The literature search was developed in conjunction with an experienced librarian (DL) and was verified independently by a second librarian (HLR), using the Peer Review of Electronic Search Strategies (PRESS) methodology [31]. Any recommendations were incorporated into the final search.

Databases included MEDLINE, EMBASE, and PsycINFO. Clusters of terms (controlled vocabulary and key words) were used to search each database; these include dementia, Parkinson’s disease, depression, anxiety and CPGs (Additional file 1: Box S1). The search was completed by cluster, first searching the terms in each cluster (combined with the Boolean operator ‘OR’) and keyword searches of abstracts and titles. The clusters were then combined with ‘AND’. We searched for several pathological variants of dementia including Alzheimer’s disease, vascular, frontotemporal, Lewy Body disease, Huntington’s Disease, CADASIL, primary progressive aphasia, and Creutzfeldt Jakob (Additional file 1: Box S1). We included relevant derivatives of terms or broad key words related to depressive or anxiety disorders (Additional file 1: Box S1).

This was augmented by a search of the grey literature (Additional file 2: Table S1). This search was limited from 2009 to search date, such that we would only capture CPGs developed within the past 5 years; given the evidence that CPGs may become out of date after only 3 years [32]. All languages were included in this search.

Selection & eligibility

All citations were reviewed for eligibility by two independent authors; citations meeting initial eligibility criteria were included in full text review. If there was disagreement at the abstract stage, the full article was pulled for review. Bibliographies for all included articles were searched. If multiple CPGs were identified from a single agency on the same topic the most recent was used.

At the first stage of abstract review, any article that represented a guideline for PD or dementia was included. Eligibility at the full text stage required that the CPGs included at least one recommendation related to depression and/or anxiety in patients with PD and/or dementia. The kappa statistic was used to quantify inter-rater reliability.

For non-English articles that met eligibility at the full text stage, the language was determined using online translation software. Citations were translated using the online (Google translate) function to determine if an article was a guideline. When included, the documents were searched using translated relevant terms; for example, if a guideline pertained to PD in the abstract, the text was searched for depression or anxiety (and all translated synonyms). If those criteria were met, the full guideline was translated and reviewed.

Assessment of quality

The Appraisal of Guidelines Research & Evaluation (AGREE II) tool was used to assess guideline quality [33]. This tool was designed to evaluate guideline quality and to aid in guideline development and reporting [33]. The tool includes 6 domains covering scope and purpose, stakeholder involvement, rigour of development, clarity of presentation, applicability and editorial independence [33]. Within each domain there are between 2 to 8 questions, to a total of 23 [33]. Each item is rated from 1 (not included or very poorly reported) to 7 (exceptional reporting of all criteria outlined in the AGREE II Manual) [33].

Each domain was scored independently by four reviewers, along with the assignment of an overall score. An initial assessment of 5 citations was done and compared across all 4 reviewers [33]. The 4 reviewers met to discuss discrepancies and address questions about rating, before the remainder of the guidelines were reviewed and scored. This also served to ensure that all raters were aligned in their understanding of the AGREE II items. Any further discrepancies were resolved by discussion.

Domain scores pooled across the 4 assessors were calculated, as outlined in the AGREE II user manual [33]. The higher score indicates a higher quality across rated items. It has been demonstrated that the quality across the AGREE II domains predicts guideline implementation [33]. The mean overall quality scores with standard deviations (SD) were calculated, as well as for each domain item. CPGs with a mean overall quality score 5 or greater were assigned at least moderate quality and included in further analysis. CPGs with a score below 3 were excluded due to low quality. A score less than 5 but greater than 3 were re-evaluated and inclusion status was decided by consensus.

Data extraction & synthesis of evidence

Guideline characteristics were extracted by one author (ZG) and independently verified by a second author (BM). Items extracted included the primary conditions covered, region/organizations, number of committee members, numbers of references, and sources of funding.

Two independent reviewers then extracted relevant recommendations (ZG, BM). Specifically, guidelines were searched for any mention of relevant recommendations and supporting text or statements. Three authors reviewed the extracted recommendations (ZG, BM and JHL). Recommendations were compiled across the guidelines into relevant categories and subcategories, and reported using descriptive statistics including the quality, number of guidelines supporting the statement and subpopulations included. As the evidence in the guidelines is represented by practice recommendations, it was not amenable to meta-analysis. The main output of this systematic review was an appraisal of the quality of all guidelines pertaining to comorbid depression or anxiety in PD or dementia, and a synthesis of the recommendations across the different guidelines. Data were analyzed using STATA 13.1 (Stata Corp. College Station, TX).


Study selection

The database search generated 4441 citations after duplicates were removed, with a further 3681 citations identified from the grey literature (Fig. 1). When screened for eligibility, 360 citations met criteria for full text review (κ = 0.88, 95.7% agreement). At this stage most articles were excluded because they were not relevant (n = 218), were not guidelines, or were unrelated guidelines. Other common reasons for exclusion at the full text stage were being out of the date range (n = 33) or a duplicate (n = 35). Excluded citations also included 26 mental health guidelines that did not address PD or dementia. Similarly there were 5 PD and 9 dementia guidelines that did not address depression or anxiety. The dementia guidelines primarily pertained to Alzheimer’s disease, vascular dementia, general dementia care and one referred to Lewy Body Disease. Of these articles, 4 were identified to be summary documents of included guidelines and were used as supplemental material to these included guidelines. Twenty-six CPGs met all eligibility criteria and were evaluated using the AGREE II tool, of which 17 met the quality cut off for inclusion.

Fig. 1

PRISMA Flow Diagram

Guideline characteristics

The 17 included guidelines addressed PD (n = 5), dementia (n = 8) and mental health (n = 4) CPGs (Table 1). They included recommendations from many regions, including Canada (n = 2), USA (n = 3), Pan-European (n = 4), UK (n = 2), Scotland (n = 1), Spain (n = 2), South Korea (n = 1) and international (n = 2). The associations or organizations are outlined in Table 1. All guidelines used a method for grading the evidence (Additional file 3: Figure S1). Most guidelines were funded through government or non-commercial funding; only two CPGs had some pharmaceutical funding.

Table 1 Guideline Characteristics

Study quality

These 26 CPGs were assessed for quality using all 23 items across the 6 domains of the AGREE II tool. Nine guidelines were excluded for low quality. Six were excluded with an overall mean rating ranging from 2.25 to 3.75. Three had ratings of 4–4.5, where decision to exclude was by consensus. A low rating was typically due to unclear methods; thus scoring low on rigour of development, applicability and editorial independence. Authors of guidelines were contacted for more information in the case that an item was unclear and responses were incorporated in the quality assessment.

The 17 included guidelines had mean overall scores from 4 to 6.5 (Table 2). When examining the individual domain scores, the highest rated domain was Domain 4: Clarity of Presentation (mean score 77.0; SD 11.4). This was followed by Domain 1: Scope and Purpose (mean score 72.1; SD 12.1). Domain 5: Applicability was the lowest rated domain (mean score 41.5; SD 22.6). Stakeholder involvement (Domain 2) also had a low score (mean score 54.5; SD 23.3).

Table 2 Domain scores from AGREE II evaluation

The mean rating across each question in the domain scores were also examined to explore differences between domains (Additional file 4: Table S2). Question one pertaining to the overall objectives was the highest rated item at 5.88 (SD 0.61), followed by link between evidence and recommendations at 5.78 (SD 0.51). The lowest rated item was providing a procedure for updating the guideline is provided, with a mean rating of 3.16 (SD 1.73). The views and preferences of the target population have been sought was also rated poorly with a mean score of 3.25 (SD 1.92). All items in Domain 5 had low mean scores, ranging between 3.27 (SD 1.46) for resource implications and 3.72 (SD 1.53) for advice on putting recommendations into practice.

Guideline recommendations

The details of extracted recommendations are summarized in the Table 3 for PD and Table 4 for dementia. 21 categories of recommendations were extracted in total.

Table 3 Statements & recommendations for Parkinson’s disease
Table 4 Statements & recommendations for Dementia

Parkinson’s disease recommendations

Only two guidelines discussed anxiety in those with PD [34, 35]. These stated there was little evidence for either the diagnosis or treatment of anxiety in PD, and that there was insufficient evidence for the treatment of anxiety with levodopa [34, 35].

There were clear recommendations surrounding the diagnosis of depression in PD [34, 37, 38]. Clinicians should have a low threshold for the diagnosis of depression in PD given the difficulties making a diagnosis [34]. Use of a validated tool for detecting depression (or neuropsychiatric symptoms) was advocated by two guidelines, with varying levels of recommendations [37, 38]. Tools that were recommended include the HDRS, the MADRS or the UPDRS—Part 1 Non-Motor, among others [37, 38]. The diagnosis should be made based on a clinical interview and not based on the tool alone and should seek collateral information from carers [37].

Antidepressant therapy is recommended, however there is little evidence to support one agent over another (n = 2) [37, 39]. Additionally, the choice of an agent must be individualized (n = 1) and the practitioner should consider side effects and drug interactions prior to initiation [34]. There have been prior studies on the tricyclic antidepressants (TCAs), specifically amitriptyline, and although they were beneficial for mood, this was offset by the side effects (n = 3) [34, 37, 39]. One guideline noted that selective serotonin reuptake inhibitors (SSRIs) showed some benefit in uncontrolled studies [39, 40], but noted that the SSRIs could worsen PD symptoms of restless legs (RLS), periodic limb movement (PLM) and REM sleep behaviour disorder (RBD) (n = 2) [39, 40]. It is recommended to avoid amoxapine and lithium in those with PD, due to the risk of worsening motor symptoms (n = 1) [39].

There is some weak evidence supporting the use of dopamine agonists and monoamine oxidase inhibitors for the management of depression in PD (n = 3) [34, 39, 40]. Pramipexole was suggested to have an antidepressant effect not solely due a motor effect [40]. Selegiline has some antidepressant effects but further studies are needed [39]. If the mood symptoms are only present during off periods, it was suggested that patients might benefit from drugs addressing the motor symptoms [34]. However there was no evidence levodopa alone affected mood [40].

Other therapies for depression are not well explored in PD. The European Federation of Neurological Sciences (EFNS) concluded there was insufficient data to recommend psychotherapy, electroconvulsive therapy (ECT) or transcranial magnetic stimulation (TCMS) [40]. Other guideline assert that ECT has been used in PD, but that there are no specific trials in PD and is associated with risk (n = 2) [34, 39].

Dementia recommendations

It is recommended that patients with dementia be assessed for anxiety (n = 2), however there is no clear consensus on what tools to use [41, 42]. One guideline recommended the use of the Hospital Anxiety Depression Scale [42]. The evidence for the treatment of anxiety in dementia is lacking (n = 1) [42].

It is recommended that patients with dementia be evaluated and re-evaluated over time for depression (n = 5) [4145]. As part of this assessment, patients should be evaluated for other secondary causes of depression. It is suggested that these patients be assessed for suicidality by one guideline [39], however another reported there was inconclusive evidence regarding this [46].

The use of a valid screening tool was recommended for depression case finding (n = 5) in dementia, including the CSDD, GDS or Dementia Mood Assessment Scale (DMAS) [39, 42, 45, 47, 48]. The CSDD was more commonly recommended given it is a clinician-rating tool that involves caregivers with higher sensitivity (n = 4) [39, 45, 47, 48].

Therapy for depression in those with dementia should include a variety of non-pharmacologic options (n = 4) such as stimulation oriented, cognitive behavioural, reminiscence, exercise or multi-sensory therapy [39, 41, 42, 48]. Pharmacologic therapy is recommended despite variable evidence (n = 6) [41, 42, 44, 45, 49, 50]. It is suggested by one guideline that, if there is no improvement with non-pharmacologic therapy, an antidepressant be considered [50]. Another notes that for moderate-severe depression, pharmacologic treatment is warranted (n = 1) [49]. However, there needs to be a clear risk-benefit assessment and discussion (n = 1) [41]. Based largely on clinical experience, most guidelines recommend the use of SSRIs given the lower side effect profile over TCAs (n = 6) [39, 41, 42, 45, 49, 50]. The concern with TCAs is largely anticholinergic side effects causing worsened cognition [42, 50]. Other antidepressants such as mirtazapine, bupropion, and venlafaxine may also be of benefit (n = 1) [42]. Other adjunct therapies recommended include stimulants (n = 2) [39, 42], cholinesterase inhibitors (n = 1) [42] and ECT on a case-by-case basis (n = 1) [39].


This study provides a synthesis and quality assessment of available guidelines for the management of depression or anxiety in PD or dementia. We identified clear gaps in guideline quality and the evidence, which inform future research and knowledge translation.

Guideline quality

Guidelines that were excluded due to low quality were typically those that lacked explicit development methods, thus ratings across all the domains were low. When examining the AGREE II ratings overall, the lowest rating was in assessing the guideline description of barriers and facilitators, implementation, resource implications, or monitoring/auditing criteria (Domain 5). In fact, few guidelines had discrete sections addressing knowledge translation. The concern about guideline applicability was explored in a 2015 systematic review [51], which found that applicability scored lower than any other domain [51, 52]. If guidelines rarely address their implementation in practice, then there will be continued practice variation. There is clear evidence supporting the use of implementation tools to improve guideline uptake [51]. Thus making guidelines without a clear knowledge translation plan does a disservice to stakeholders [51].

The engagement of patients and caregivers was notably absent in CPG development. This process is important, as it is aimed at improving implementability, by ensuring the recommendations are comprehensive, adaptable and applicable to the target group and have an open process [53]. Given the constant changing nature of evidence, having up-to-date guidelines certainly makes a difference to the validity [32]. However, the lowest rated item was for the guideline update procedures.

Guideline content

There is an overall lack of recommendations related to the diagnosis or treatment of anxiety in either PD or dementia. This stems from the fact there is little evidence on how to approach the assessment. One guideline suggested the use Hospital Anxiety and Depression Scale for dementia, but they did not provide diagnostic accuracy information or suggestions for implementation [42]. There is also a concern that the medications traditionally used for anxiety can have major adverse effects [35], and there are few studies to guide treatment. Anxiety was less frequently mentioned than depression in the included CPGs, and in some cases was only mentioned in combination with other neuropsychiatric symptoms. The overall lack of evidence for anxiety care in PD and dementia is a major gap in the current research.

Guidance for depression was present in a higher proportion of guidelines. Despite this, there is variability in the reporting of levels of evidence and recommendations (Additional file 3: Figure S1). In some cases the recommendations for depression in PD only had 1 or 2 guidelines supporting them, indicating variance in guideline reporting. In other cases recommendations were vague, which can lead to difficulty with end user interpretation and implementation [36].

It is clear that screening for depression with a validated tool in PD is recommended, although evidence varies [37, 38]. It is recommended, as a good practice point, that any diagnosis of depression is not made solely on a brief assessment tool, as these tools are more focused on case finding [37]. Although this is an important concept in detection, it was only recommended by one guideline [54]. A 2015 systematic review identified several validated tools for the detection of depression in PD, with the GDS-15 having the highest pooled sensitivity (0.81; 95% CI 0.64, 0.91) and area under the curve (0.94) [55].

Recommendations surrounding non-pharmacologic therapy were few, stating there was insufficient evidence for the use of psychotherapy, ECT or TMS [34, 39, 40]. Two recent trials demonstrated the effectiveness of cognitive behavioural therapy in PD [56, 57]. This highlights the need for further large high quality studies on a range of non-pharmacologic therapies and the need for constant update of guidelines. Pharmacological therapy is recommended for managing depression in PD, but there is little evidence on choosing agents [39, 54]. This has resulted in a variety of treatment recommendations, with little evidence to direct clinical practice.

Depression in dementia was more frequently addressed. However, these recommendations also had varied guideline and evidentiary support. Guidelines supported the evaluation of depression in dementia, but evidence ranged from high quality to good practice points [4145]. Commonly recommended tools were the CSDD and GDS, with preference towards the CSDD due to better accuracy [39, 42, 45, 47, 48]. This was confirmed by a 2015 systematic review of depression tools for dementia, finding that the CSDD had a area under the curve of 0.89 [58].

Interestingly, the issue of evaluating for suicide risk was raised in two guidelines with divergent recommendations [39, 46]. One stating there was inconclusive evidence [46] and another stating substantial evidence [39]. It is unclear why there is such a difference in reported evidence; perhaps development groups have different evidence available or differing interpretations of the evidence.

There are stronger recommendations for non-pharmacologic treatment in dementia than in PD, outlining several options [41, 42, 45, 47, 48]. The evidence for pharmacologic therapy is described as mixed with Grade 2A (Moderate Recommendation, High Level Evidence) to Class IV (Un-blinded Study, Expert Opinion) [39, 41, 44, 45, 49, 50]. Again SSRIs and TCAs are the focus, with TCAs being less likely to be recommended due to side effects [39, 42, 45, 47, 50]. For those with dementia, there were more options recommended for therapy including stimulants, cholinesterase inhibitors and ECT [39, 42].


There is a well-recognized issue with heterogeneity in the terms used to refer to guidelines [52]. For our database search we used indexed terms from each of the three databases as well as key words using known nomenclature for guidelines and the comorbidities. It is also possible that the addition of the depression or anxiety criteria to the search may have been restrictive, however without these terms the search was impractical. To address this, we developed the search strategy with experts in the area of guideline systematic review and an experienced librarian, and we had an external reviewer independently assess the search strategy. To reduce the risk of missing literature not indexed in databases we contacted experts, searched references of included studies and performed an extensive search of the grey literature search.


Given the burden of comorbid mental illness in dementia and PD, it is key that we understand clearly the current knowledge base so we can improve care for these populations. This study provides a synthesis and quality assessment of the relevant guidelines. By synthesizing the recommendations, we identified areas of knowledge that are potentially ready to be translated into practice but also clear evidence gaps. This data was further evaluated in a subsequent study by stakeholders in focus groups to understand the other barriers and facilitators to the use of guidelines. This was to inform and help develop a comprehensive knowledge/end-user focused plan for addressing these gaps.



American Academy of Neurology


American Psychiatric Association


Agency for Health Quality and Assessment of Catalonia


Galician Health Technology Assessment Agency


Beck Depression Inventory


British Association of Psychopharmacology


Cerebral Autosomal-Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy


Canadian Consensus Conference on the Diagnosis and Treatment of Dementia


Canadian Neurological Sciences Foundation


Clinical Practice Guideline


Clinical Research Centre for Dementia


Cornell Scale for Depression in Dementia


Dementia Mood Assessment Scale


Electroconvulsive Therapy


European Federation of Neuroscience


Geriatric Depression Scale


Grading of Recommendations Assessment, Development and Evaluation


Hospital Anxiety and Depression Scale


Hamilton Depression Rating Scale


Institute for Clinical Systems Improvement


Montgomery Åsberg Depression Rating Scale


Movement Disorders Society


National Institute of Clinical Excellence


Parkinson’s Disease


Periodic Limb Movement Syndrome


Peer Review of Electronic Search Strategies


Preferred Reporting Items for Systematic Reviews and Meta-Analyses


REM Sleep Behaviour Disorder


Randomized Control Trial


Rapid Eye Movement


Restless Legs Syndrome


Standard Deviation


Scottish Intercollegiate Guidelines Network


Selective Serotonin Reuptake Inhibitor


Tricyclic Acid Antidepressants


Transcranial Magnetic Stimulation


Unified Parkinson’s Disease Rating Scale


World Federation of Societies of Behavioural Psychiatry


World Health Organization


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The authors would like to thank Diane Lorenzetti MLS, Research Librarian (DL) for her input into the search strategy, and Helen Lee Robertson MLIS, Liaison Librarian for Clinical Medicine for her (Peer Review of Electronic Search Strategies) PRESS review of our search strategy.


This project had funding from an Alberta Innovates Health Solutions—Knowledge to Action Grant.

Availability of data and material

The datasets during and/or analysed during the current study available from the corresponding author on reasonable request. All data from this study are presented in detail. For the quality assessment the individual ratings are not published as the AGREE group recommends publication f the mean scaled domain scores. The extracted recommendations are summarized in the tables and text, full details are available in the source guidelines.

Authors’ contributions

ZG and BM performed all citation/full text screening, quality assessments, data extraction and analysis and drafted the manuscript. ZG completed all statistical analysis. SG was involved in the grey literature search and quality assessment. JHL supervised all parts of the systematic review and analysis, was involved in the quality assessment and determination of inclusion. ZG, BM, SG, HH, SS, TP, NJ and JHL provided input and reviewed the proposal, protocol, analysis and manuscript. ZG registered the protocol with PROSPERO [58]. All authors had access to the data, reviewed and approved the final manuscript. ZG and JHL had full access to the data in the study and take responsibility for the integrity of the data and accuracy of the data.

Competing interests

ZG has received funding by Canadian Institutes for Health Research—Canadian Graduate Student Scholarship, Alberta Innovates Health Solutions Clinician Fellowship Award, Canadian Society for Clinical Investigation Resident Research Award, Alberta Student and Western Regional Training Centre affiliate award. BM and SG report no disclosures. HH has no disclosures. SP holds funding from Hotchkiss Brain Institute (HBI), CIHR and a grant co-funded by the University of Calgary HBI and Pfizer Canada. TP has an unrestricted educational grants from Shire Canada. TP has research grant support from Sick Kids Foundation, Alberta Health Services Mental Health Strategic Clinical Network, Hotchkiss Brain Institute and Canadian Institutes for Health Research. NJ holds a Canada Research Chair Tier 2 in Health Services Research and is on the editorial board of Neurology and holds research grants from the Canadian Institutes of Health Research, Alberta Innovates Health Solutions, the Alberta Spine Foundation, the University of Calgary Cumming School of Medicine, Department of Clinical Neurosciences and HBIs and a grant co-funded by the University of Calgary HBI and Pfizer Canada. JHL has received funding from Alberta Health Services as the Scientific Director of the Seniors Health Strategic Clinical Network.

Consent for publication

Not Applicable.

Ethics approval and consent to participate

University of Calgary Conjoint Health Research Ethics Board (CHREB) REB 14-1449

Author information



Corresponding author

Correspondence to Zahra Goodarzi.

Additional files

Additional file 1: Box S1.

Search Strategy. (DOCX 22 kb)

Additional file 2: Table S1.

Grey Literature Sources (n = 83). (DOCX 15 kb)

Additional file 3: Figure S1.

Evidence Levels & Grading Schemes Used Across Guidelines [3449, 59]. (DOCX 65.4 kb)

Additional file 4: Table S2.

Mean Domain Question Scores From AGREE II Evaluation. (DOCX 16 kb)

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Goodarzi, Z., Mele, B., Guo, S. et al. Guidelines for dementia or Parkinson’s disease with depression or anxiety: a systematic review. BMC Neurol 16, 244 (2016).

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  • Parkinson’s Disease
  • Dementia
  • Depression
  • Anxiety
  • Guidelines