Evidence map›Paper›PMID 31342451›Full record

ArticleNeurocritical care2020

Validation and Comparison of Noncontrast CT Scores to Predict Intracerebral Hemorrhage Expansion.

Loris Poli, Eleonora Leuci, Paolo Costa, Valeria De Giuli, Filomena Caria, Elisa Candeloro, Alessandra Persico, Massimo Gamba, Mauro Magoni, Giuseppe Micieli and 4 more

Abstract readComparative StudyValidation Study
PubMed Publisher
In one paragraph

Article in Neurocritical care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

14 authors.

Loris PoliDipartimento di Scienze Cliniche e Sperimentali, Clinica Neurologica, Università degli Studi di Brescia, Brescia, Italy. loris.poli@gmail.com.ORCID http://orcid.org/0000-0003-4912-818X
Eleonora LeuciStroke Unit, IRCCS Fondazione Istituto Neurologico Nazionale C. Mondino, Pavia, Italy.
Paolo CostaU.O. di Neurologia, Istituto Clinico Fondazione Poliambulanza, Brescia, Italy.
Valeria De GiuliDipartimento di Scienze Cliniche e Sperimentali, Clinica Neurologica, Università degli Studi di Brescia, Brescia, Italy.
Filomena CariaDipartimento di Scienze Cliniche e Sperimentali, Clinica Neurologica, Università degli Studi di Brescia, Brescia, Italy.
Elisa CandeloroStroke Unit, IRCCS Fondazione Istituto Neurologico Nazionale C. Mondino, Pavia, Italy.
Alessandra PersicoStroke Unit, IRCCS Fondazione Istituto Neurologico Nazionale C. Mondino, Pavia, Italy.
Massimo GambaStroke Unit, Neurologia Vascolare, Azienda Socio-Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy.
Mauro MagoniStroke Unit, Neurologia Vascolare, Azienda Socio-Sanitaria Territoriale (ASST) Spedali Civili, Brescia, Italy.
Giuseppe MicieliDipartimento di Neurologia d'Urgenza, IRCCS Fondazione Istituto Neurologico Nazionale C. Mondino, Pavia, Italy.
Anna CavalliniStroke Unit, IRCCS Fondazione Istituto Neurologico Nazionale C. Mondino, Pavia, Italy.
Alessandro PadovaniDipartimento di Scienze Cliniche e Sperimentali, Clinica Neurologica, Università degli Studi di Brescia, Brescia, Italy.
Alessandro PezziniDipartimento di Scienze Cliniche e Sperimentali, Clinica Neurologica, Università degli Studi di Brescia, Brescia, Italy.
Andrea MorottiStroke Unit, IRCCS Fondazione Istituto Neurologico Nazionale C. Mondino, Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe BAT, BRAIN, and HEP scores have been proposed to predict hematoma expansion (HE) with noncontrast computed tomography (NCCT). We sought to validate these tools and compare their diagnostic performance.

methodsWe retrospectively analyzed two cohorts of patients with primary intracerebral hemorrhage. HE expansion was defined as volume growth > 33% or > 6 mL. Two raters analyzed NCCT scans and calculated the scores, blinded to clinical and imaging data. The inter-rater reliability was assessed with the interclass correlation statistic. Discrimination and calibration were calculated with area under the curve (AUC) and Hosmer-Lemeshow χ

resultsA total of 230 subjects were included, of whom 86 (37.4%) experienced HE. The observed AUC for HE were 0.696 for BAT, 0.700 for BRAIN, and 0.648 for HEP. None of the scores had a significantly superior AUC compared with the others (all p > 0.4). All the scores had good calibration (all p > 0.3) and good-to-excellent inter-rater reliability (interclass correlation > 0.8). BAT ≥ 3 showed the highest specificity (0.81), whereas BRAIN ≥ 6 had the highest sensitivity (0.76).

conclusionsThe BAT, BRAIN, and HEP scores can predict HE with acceptable discrimination and require just a baseline NCCT scan. These tools may be used to stratify the risk of HE in clinical practice or randomized controlled trials.

Indexed as

AgedAged, 80 and overCerebral HemorrhageDisease ProgressionFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesRisk AssessmentTomography, X-Ray ComputedBATBRAINHematoma expansionHEPIntracerebral hemorrhageScoreSTROKE

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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.