Evidence map›Paper›PMID 37212845›Full record

ArticleEuropean radiology2023

Non-contrast computed tomography features predict intraventricular hemorrhage growth.

Jawed Nawabi, Frieder Schlunk, Andrea Dell'Orco, Sarah Elsayed, Federico Mazzacane, Dmitriy Desser, Ly Vu, Estelle Vogt, Haoyin Cao, Maik F H Böhmer and 10 more

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In one paragraph

Article in European radiology, 2023. 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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Jawed NawabiDepartment of Radiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität Zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany. jawed.nawabi@charite.de.ORCID http://orcid.org/0000-0002-1137-0643
Frieder SchlunkBerlin Institute of Health (BIH), BIH Biomedical Innovation Academy, Berlin, Germany.
Andrea Dell'OrcoDepartment of Neuroradiology (CCM), Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität Zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin, Germany.
Sarah ElsayedDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg Eppendorf, Hamburg, Germany.
Federico MazzacaneDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Dmitriy DesserDepartment of Neuroradiology (CCM), Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität Zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Berlin, Germany.
Ly VuDepartment of Radiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität Zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
Estelle VogtDepartment of Radiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität Zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
Haoyin CaoDepartment of Radiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität Zu Berlin, Freie Universität Berlin, Berlin Institute of Health, Charitéplatz 1, 10117, Berlin, Germany.
Maik F H BöhmerDepartment of Radiology, University Hospital Muenster, Muenster, Germany.
Burak Han AkkurtDepartment of Radiology, University Hospital Muenster, Muenster, Germany.
Peter B SpornsDepartment of Neuroradiology, Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland.
Marco PasiDepartment of Neurology, University Hospital of Tours, Tours, France.
Ulf Jensen-KonderingDepartment of Neuroradiology, University Hospital Schleswig-Holstein, Campus Lübeck, Lübeck, Germany.
Gabriel BroocksDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg Eppendorf, Hamburg, Germany.
Tobias PenzkoferBerlin Institute of Health (BIH), BIH Biomedical Innovation Academy, Berlin, Germany.
Jens FiehlerDepartment of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg Eppendorf, Hamburg, Germany.
Alessandro PadovaniDepartment of Clinical and Experimental Sciences, Neurology Clinic, University of Brescia, Brescia, Italy.
Uta Hanning *Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg Eppendorf, Hamburg, Germany.
Andrea Morotti *Neurology Unit, Department of Neurological Sciences and Vision, ASST-Spedali Civili, Brescia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNon-contrast computed tomography (NCCT) markers are robust predictors of parenchymal hematoma expansion in intracerebral hemorrhage (ICH). We investigated whether NCCT features can also identify ICH patients at risk of intraventricular hemorrhage (IVH) growth.

methodsPatients with acute spontaneous ICH admitted at four tertiary centers in Germany and Italy were retrospectively included from January 2017 to June 2020. NCCT markers were rated by two investigators for heterogeneous density, hypodensity, black hole sign, swirl sign, blend sign, fluid level, island sign, satellite sign, and irregular shape. ICH and IVH volumes were semi-manually segmented. IVH growth was defined as IVH expansion > 1 mL (eIVH) or any delayed IVH (dIVH) on follow-up imaging. Predictors of eIVH and dIVH were explored with multivariable logistic regression. Hypothesized moderators and mediators were independently assessed in PROCESS macro models.

resultsA total of 731 patients were included, of whom 185 (25.31%) suffered from IVH growth, 130 (17.78%) had eIVH, and 55 (7.52%) had dIVH. Irregular shape was significantly associated with IVH growth (OR 1.68; 95%CI [1.16-2.44]; p = 0.006). In the subgroup analysis stratified by the IVH growth type, hypodensities were significantly associated with eIVH (OR 2.06; 95%CI [1.48-2.64]; p = 0.015), whereas irregular shape (OR 2.72; 95%CI [1.91-3.53]; p = 0.016) in dIVH. The association between NCCT markers and IVH growth was not mediated by parenchymal hematoma expansion.

conclusionsNCCT features identified ICH patients at a high risk of IVH growth. Our findings suggest the possibility to stratify the risk of IVH growth with baseline NCCT and might inform ongoing and future studies. CLINICAL RELEVANCE STATEMENT: Non-contrast CT features identified ICH patients at a high risk of intraventricular hemorrhage growth with subtype-specific differences. Our findings may assist in the risk stratification of intraventricular hemorrhage growth with baseline CT and might inform ongoing and future clinical studies. KEY POINTS: • NCCT features identified ICH patients at a high risk of IVH growth with subtype-specific differences. • The effect of NCCT features was not moderated by time and location or indirectly mediated by hematoma expansion. • Our findings may assist in the risk stratification of IVH growth with baseline NCCT and might inform ongoing and future studies.

Indexed as

Cerebral HemorrhageTomography, X-Ray ComputedGermanyHematomaHumansRetrospective StudiesCerebral hemorrhagePrognosisStrokeTomography

Identifiers

PMID37212845
PMCPMC10598100

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