Evidence map›Paper›PMID 27358339›Full record

SynthesisNeurology2016

Detecting depression in Parkinson disease: A systematic review and meta-analysis.

Zahra Goodarzi, Kelly J Mrklas, Derek J Roberts, Nathalie Jette, Tamara Pringsheim, Jayna Holroyd-Leduc

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 4 pooled it
10.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

82 citing papers in PubMed, 4 syntheses or guidelines pooled it, 178 citations in OpenAlex.

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  5. Article
  6. Assessing Shifts in Research Priority Areas From the Neurological Community Before and After the COVID-19 Pandemic.Health expectations : an international journal of public participation in health care and health policy · 2026
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22 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Zahra GoodarziFrom the Departments of Community Health Sciences (Z.G., K.J.M., D.J.R., N.J., T.P., J.H.-L.) and Clinical Neurosciences (N.J., T.P.), University of Calgary; Research Priorities and Implementation (K.J.M.), Alberta Health Services, Edmonton; Departments of Critical Care Medicine (D.J.R.) and Surgery (D.J.R.), Hotchkiss Brain Institute and O'Brien Institute for Public Health (N.J., T.P., J.H.-L.), and Departments of Psychiatry and Pediatrics (T.P.) and Medicine (Z.G., J.H.-L.), University of Calgary and Alberta Health Services, Canada. zahra.goodarzi@albertahealthservices.ca.
Kelly J MrklasFrom the Departments of Community Health Sciences (Z.G., K.J.M., D.J.R., N.J., T.P., J.H.-L.) and Clinical Neurosciences (N.J., T.P.), University of Calgary; Research Priorities and Implementation (K.J.M.), Alberta Health Services, Edmonton; Departments of Critical Care Medicine (D.J.R.) and Surgery (D.J.R.), Hotchkiss Brain Institute and O'Brien Institute for Public Health (N.J., T.P., J.H.-L.), and Departments of Psychiatry and Pediatrics (T.P.) and Medicine (Z.G., J.H.-L.), University of Calgary and Alberta Health Services, Canada.
Derek J RobertsFrom the Departments of Community Health Sciences (Z.G., K.J.M., D.J.R., N.J., T.P., J.H.-L.) and Clinical Neurosciences (N.J., T.P.), University of Calgary; Research Priorities and Implementation (K.J.M.), Alberta Health Services, Edmonton; Departments of Critical Care Medicine (D.J.R.) and Surgery (D.J.R.), Hotchkiss Brain Institute and O'Brien Institute for Public Health (N.J., T.P., J.H.-L.), and Departments of Psychiatry and Pediatrics (T.P.) and Medicine (Z.G., J.H.-L.), University of Calgary and Alberta Health Services, Canada.
Nathalie JetteFrom the Departments of Community Health Sciences (Z.G., K.J.M., D.J.R., N.J., T.P., J.H.-L.) and Clinical Neurosciences (N.J., T.P.), University of Calgary; Research Priorities and Implementation (K.J.M.), Alberta Health Services, Edmonton; Departments of Critical Care Medicine (D.J.R.) and Surgery (D.J.R.), Hotchkiss Brain Institute and O'Brien Institute for Public Health (N.J., T.P., J.H.-L.), and Departments of Psychiatry and Pediatrics (T.P.) and Medicine (Z.G., J.H.-L.), University of Calgary and Alberta Health Services, Canada.
Tamara PringsheimFrom the Departments of Community Health Sciences (Z.G., K.J.M., D.J.R., N.J., T.P., J.H.-L.) and Clinical Neurosciences (N.J., T.P.), University of Calgary; Research Priorities and Implementation (K.J.M.), Alberta Health Services, Edmonton; Departments of Critical Care Medicine (D.J.R.) and Surgery (D.J.R.), Hotchkiss Brain Institute and O'Brien Institute for Public Health (N.J., T.P., J.H.-L.), and Departments of Psychiatry and Pediatrics (T.P.) and Medicine (Z.G., J.H.-L.), University of Calgary and Alberta Health Services, Canada.
Jayna Holroyd-LeducFrom the Departments of Community Health Sciences (Z.G., K.J.M., D.J.R., N.J., T.P., J.H.-L.) and Clinical Neurosciences (N.J., T.P.), University of Calgary; Research Priorities and Implementation (K.J.M.), Alberta Health Services, Edmonton; Departments of Critical Care Medicine (D.J.R.) and Surgery (D.J.R.), Hotchkiss Brain Institute and O'Brien Institute for Public Health (N.J., T.P., J.H.-L.), and Departments of Psychiatry and Pediatrics (T.P.) and Medicine (Z.G., J.H.-L.), University of Calgary and Alberta Health Services, Canada.
Alberta Health Services · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFailure to detect depression in patients with Parkinson disease (PD) can lead to worsened outcomes for patients and caregivers. Accurate identification of depression would enable practitioners to provide comprehensive care for their patients with PD.

methodsOur objective was to examine the diagnostic accuracy of tools for detecting depression in adult outpatients with PD. We searched MEDLINE, PsycINFO, and EMBASE (inception to December 1, 2015), gray literature, and bibliographies of included studies. The pooled prevalence of depression across studies and diagnostic accuracy estimates were calculated using random-effects models. Diagnostic accuracy estimates were calculated across the best-reported cutoffs from each study and across specific cutoffs, when feasible.

resultsOut of 8,184 citations, 21 studies were included, evaluating 24 tools, with 4 amenable to meta-analysis. The pooled prevalence of major depression was 22.9% (95% confidence interval [CI] 18.1-27.7). The 15-item Geriatric Depression Scale (GDS-15) had a pooled sensitivity of 0.81 (95% CI 0.64-0.91) and specificity of 0.91 (95% CI 0.87-0.94). The most sensitive cutoff for the GDS-15 was 5 at 0.91 (95% CI 0.83-1.00). The Beck Depression Inventory I/Ia had a pooled sensitivity of 0.79 (95% CI 0.61-0.90) and specificity of 0.85 (95% CI 0.79-0.90). The Montgomery-Åsberg Depression Rating Scale yielded a pooled sensitivity of 0.77 (95% CI 0.69-0.83) and specificity of 0.92 (95% CI 0.79-0.97). The Unified Parkinson's Disease Rating Scale had a pooled sensitivity of 0.72 (95% CI 0.64-0.79) and specificity of 0.80 (95% CI 0.70-0.87). All estimates had heterogeneity.

conclusionsThere are several valid tools for detecting depression in patients with PD. Practitioners should choose one that fits their clinical practice.

Indexed as

DepressionGuidelines as TopicHumansParkinson DiseasePsychiatric Status Rating ScalesSeverity of Illness Index

Identifiers

PMID27358339
PMCPMC4977107
OpenAlexW2465535082

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.