Evidence map›Paper›PMID 34134538›Full record

ArticleClinical rehabilitation2021

Practical guidance on use of TEARS-Q to diagnose post-stroke emotionalism.

Niall M Broomfield, Robert West, Mark Barber, David C Gillespie, Allan House, Matthew Walters

Abstract read
In one paragraph

Article in Clinical rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Post-stroke emotionalism: Diagnosis, pathophysiology, and treatment.International journal of stroke : official journal of the International Stroke Society · 2024
    Review
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.

Niall M BroomfieldUniversity of East Anglia, Norwich, Norfolk, UK.ORCID https://orcid.org/0000-0003-2599-3435
Robert WestLeeds Institute of Health Sciences, University of Leeds, Leeds, West Yorkshire, UK.
Mark BarberGlasgow Caledonian University, Glasgow, UK.
David C GillespieWestern General Hospital, Edinburgh, UK.ORCID https://orcid.org/0000-0003-1325-9727
Allan HouseLeeds Institute of Health Sciences, University of Leeds, Leeds, West Yorkshire, UK.
Matthew WaltersUniversity of Glasgow College of Medical Veterinary and Life Sciences, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate, using a classification tree methodology, the ability of the Testing Emotionalism After Recent Stroke - Questionnaire (TEARS-Q) to determine the need for further assessment of post-stroke emotionalism and to identify those whose emotionalism is sufficiently clear that they need assessment for potential intervention.

settingAcute stroke units of nine Scottish hospitals in the context of a longitudinal cohort study of post-stroke emotionalism. SUBJECTS: A total of 228 stroke survivors recruited between October 1st 2015 and September 30th 2018, within two weeks of stroke. MEASURES: The measure was the self-report questionnaire TEARS-Q, constructed based on recognised diagnostic features of post-stroke tearful emotionalism. The reference standard was presence/absence of emotionalism on a diagnostic, semi-structured post-stroke emotionalism interview, administered at the same assessment point.

resultsNine of 159 subjects scoring 0 or 1 on TEARS-Q were diagnosed with post-stroke emotionalism on the reference standard, compared to 11 of 21 subjects scoring 2 to 5 on TEARS-Q and 42 of 48 participants scoring 6 and above. Adding age, sex, deprivation, stroke type, stroke severity, mood, cognition, daily functioning and education did not improve the prediction accuracy sufficiently to change the classification tree.

conclusionTEARS-Q reliably identifies those who need no further post-stroke emotionalism assessment, those who need further assessment to clarify diagnosis, and those who almost certainly have post-stroke emotionalism and may benefit from intervention.

Indexed as

EmotionsStrokeCryingHumansLongitudinal StudiesSurveys and QuestionnairesemotionalismneuropsychologyStroke

Identifiers

PMID34134538
PMCPMC8552395

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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.