Evidence map›Paper›PMID 30710162›Full record

ArticleClinical neuroradiology2020

Impact of Collateral Filling Delay on the Development of Subacute Complications After Acute Ischemic Stroke.

Matthias F Froelich, Kolja M Thierfelder, Lukas T Rotkopf, Matthias P Fabritius, Lars Kellert, Steffen Tiedt, Wieland H Sommer, Frank A Wollenweber, Franziska Dorn, Thomas Liebig and 2 more

Abstract read
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Article in Clinical neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Clinical relevance of asymptomatic intracerebral hemorrhage post thrombectomy depends on angiographic collateral score.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
    Article
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

12 authors.

Matthias F FroelichDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Kolja M ThierfelderInstitute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Rostock, Germany.
Lukas T RotkopfDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Matthias P FabritiusDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Lars KellertDepartment of Neurology; University Hospital, LMU Munich, Munich, Germany.
Steffen TiedtInstitute for Stroke and Dementia Research; University Hospital, LMU Munich, Munich, Germany.
Wieland H SommerDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Frank A WollenweberInstitute for Stroke and Dementia Research; University Hospital, LMU Munich, Munich, Germany.
Franziska DornInstitute of Neuroradiology; University Hospital, LMU Munich, Munich, Germany.
Thomas LiebigInstitute of Neuroradiology; University Hospital, LMU Munich, Munich, Germany.
Paul ReidlerDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Wolfgang G KunzDepartment of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. wolfgang.kunz@med.lmu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLeptomeningeal collaterals play a pivotal role in acute ischemic stroke. While most collateral scores rely on subjective visual analysis, an objective quantification is possible using dynamic computed tomography (CT) angiography (dynCTA). The aim was to determine the value of collateral filling delay (CFD) as assessed by dynCTA for predicting subacute stroke complications.

methodsAll subjects with isolated prebifurcation middle cerebral artery M1 occlusions were selected from an initial cohort of 2635 patients who underwent multiparametric CT for suspected stroke. The CFD was defined as the difference in time to peak enhancement between M2 segments of both hemispheres. Logistic regression analysis of CFD for space-occupying infarction (≥5 mm shift of brain tissue over the midline), parenchymal hematoma, and hemorrhagic transformation on follow-up imaging was performed.

resultsIn this study 78 patients (47 female, median age 74 years) were included. The median CFD was 6.31 s (interquartile range [IQR] 4.00-8.64). The CFD values were correlated with qualitative collateral scores (p < 0.05). Higher CFD was associated with the development of space-occupying infarction in univariable (odds ratio, OR = 1.28; p = 0.002) and multivariable regression analysis (OR = 1.48; p = 0.004). The CFD had no association with parenchymal hematoma or hemorrhagic transformation (p > 0.05).

conclusionA high CFD may serve as reproducible measure for collateralization and indicate development of increased risk of space-occupying infarction.

Indexed as

Acute DiseaseAgedCerebral AngiographyCerebrovascular CirculationCollateral CirculationComputed Tomography AngiographyFemaleHumansInfarction, Middle Cerebral ArteryIschemic StrokeMaleAnterior circulationCollateralizationDynamic CT angiographyIschemic strokeMalignant infarctionSpace-occupying infarction

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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.