Evidence map›Paper›PMID 30078162›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2018

Factors influencing self-reported anxiety or depression following stroke or TIA using linked registry and hospital data.

Tharshanah Thayabaranathan, Nadine E Andrew, Monique F Kilkenny, Rene Stolwyk, Amanda G Thrift, Rohan Grimley, Trisha Johnston, Vijaya Sundararajan, Natasha A Lannin, Dominique A Cadilhac

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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

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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

10 authors at 6 institutions in 1 country.

Tharshanah ThayabaranathanStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia. tharshanah.thayabaranathan@monash.edu.ORCID http://orcid.org/0000-0003-2504-7772
Nadine E AndrewStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
Monique F KilkennyStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.ORCID http://orcid.org/0000-0002-3375-287X
Rene StolwykMonash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Clayton, VIC, Australia.ORCID http://orcid.org/0000-0002-4975-3332
Amanda G ThriftStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.ORCID http://orcid.org/0000-0001-8533-4170
Rohan GrimleyStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.ORCID http://orcid.org/0000-0002-7006-6908
Trisha JohnstonStatistical Services Branch, Queensland Department of Health, Brisbane, QLD, Australia.
Vijaya SundararajanSt Vincent's Hospital, University of Melbourne, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-9387-1865
Natasha A LanninSchool of Allied Health, La Trobe University, Bundoora, VIC, Australia.ORCID http://orcid.org/0000-0002-2066-8345
Dominique A CadilhacStroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.ORCID http://orcid.org/0000-0001-8162-682X
Monash Health · AUThe University of Melbourne · AULa Trobe University · AUMonash University · AUQueensland Health · AUThe University of Queensland · AU

Funding

National Health and Medical Research Council 1034415National Health and Medical Research Council 1042600National Health and Medical Research Council 1063761National Health and Medical Research Council 1072053National Health and Medical Research Council 1109426National Health and Medical Research Council 1112158
6 · The paper itself

Abstract

purposeApproximately 30-50% of survivors experience problems with anxiety or depression post-stroke. It is important to understand the factors associated with post-stroke anxiety or depression to identify effective interventions.

methodsPatient-level data from the Australian Stroke Clinical Registry (years 2009-2013), from participating hospitals in Queensland (n = 23), were linked with Queensland Hospital Emergency and Admission datasets. Self-reported anxiety or depression was assessed using the EQ-5D-3L, obtained at 90-180 days post-stroke. Multivariable multilevel logistic regression, with manual stepwise elimination of variables, was used to investigate the association between self-reported anxiety or depression, patient factors and acute stroke processes of care. Comorbidities, including prior mental health problems (e.g. anxiety, depression and dementia) coded in previous hospital admissions or emergency presentations using ICD-10 diagnosis codes, were identified from 5 years prior to stroke event.

results2853 patients were included (median age 74; 45% female; 72% stroke; 24% transient ischaemic attack). Nearly half (47%) reported some level of anxiety or depression post-stroke. The factors most strongly associated with anxiety or depression were a prior diagnosis of anxiety or depression [Adjusted Odds Ratio (aOR) 2.37, 95% confidence interval (95% CI) 1.66-3.39; p < 0.001], dementia (aOR 1.91, 95% CI 1.24-2.93; p = 0.003), being at home with support (aOR 1.41, 95% CI 1.12-1.69; p = < 0.001), and low socioeconomic advantage compared to high (aOR 1.59, 95% CI 1.21-2.10; p = 0.001). Acute stroke processes of care were not independently associated with anxiety or depression.

conclusionsIdentification of those with prior mental health problems for early intervention and support may help reduce the prevalence of post-stroke anxiety or depression.

Indexed as

AdolescentAdultAnxietyComorbidityDepressionFemaleHumansIschemic Attack, TransientMaleMiddle AgedQuality of LifeRegistriesSelf ReportStrokeYoung AdultAnxietyComorbidityData linkageDepressionQuality of lifeRegistriesStroke

Identifiers

PMID30078162
OpenAlexW2886532387

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.