Evidence map›Paper›PMID 34561539›Full record

ArticleScientific reports2021

Cross-cultural validation of the stroke riskometer using generalizability theory.

Oleg Medvedev, Quoc Cuong Truong, Alexander Merkin, Robert Borotkanics, Rita Krishnamurthi, Valery Feigin

Erratum issuedAbstract readValidation Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Oleg MedvedevSchool of Psychology, Faculty of Arts and Social Sciences, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand. oleg.medvedev@waikato.ac.nz.
Quoc Cuong TruongSchool of Psychology, Faculty of Arts and Social Sciences, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand.
Alexander MerkinAuckland University of Technology, School of Clinical Sciences, Auckland, New Zealand.
Robert BorotkanicsAuckland University of Technology, School of Clinical Sciences, Auckland, New Zealand.
Rita KrishnamurthiAuckland University of Technology, School of Clinical Sciences, Auckland, New Zealand.
Valery FeiginAuckland University of Technology, School of Clinical Sciences, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Stroke Riskometer mobile application is a novel, validated way to provide personalized stroke risk assessment for individuals and motivate them to reduce their risks. Although this app is being used worldwide, its reliability across different countries has not yet been rigorously investigated using appropriate methodology. The Generalizability Theory (G-Theory) is an advanced statistical method suitable for examining reliability and generalizability of assessment scores across different samples, cultural and other contexts and for evaluating sources of measurement errors. G-Theory was applied to the Stroke Riskometer data sampled from 1300 participants in 13 countries using two-facet nested observational design (person by item nested in the country). The Stroke Riskometer demonstrated strong reliability in measuring stroke risks across the countries with coefficients G relative and absolute of 0.84, 95%CI [0.79; 0.89] and 0.82, 95%CI [0.76; 0.88] respectively. D-study analyses revealed that the Stroke Riskometer has optimal reliability in its current form in measuring stroke risk for each country and no modifications are required. These results suggest that the Stroke Riskometer's scores are generalizable across sample population and countries permitting cross-cultural comparisons. Further studies investigating reliability of the Stroke Riskometer over time in longitudinal study design are warranted.

Indexed as

Cross-Cultural ComparisonAdultAgedFemaleHumansMaleMiddle AgedRisk FactorsStrokeYoung Adult

Identifiers

PMID34561539
PMCPMC8463553

What OpenQuestion holds

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Registered trials

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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.