Evidence map›Paper›PMID 26703130›Full record

Trial reportNeurocritical care2016

Quantification of Cerebral Edema After Subarachnoid Hemorrhage.

H Alex Choi, Suhas S Bajgur, Wesley H Jones, Jude P J Savarraj, Sang-Bae Ko, Nancy J Edwards, Tiffany R Chang, Georgene W Hergenroeder, Mark J Dannenbaum, P Roc Chen and 4 more

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Neurocritical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

23 citing papers in PubMed, 37 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

H Alex ChoiDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA. huimahn.a.choi@uth.tmc.edu.
Suhas S BajgurDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA.
Wesley H JonesDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA.
Jude P J SavarrajDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA.
Sang-Bae KoDepartment of Neurology, Seoul National University, Seoul, South Korea.
Nancy J EdwardsDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA.
Tiffany R ChangDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA.
Georgene W HergenroederDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA.
Mark J DannenbaumDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA.
P Roc ChenDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA.
Arthur L DayDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA.
Dong H KimDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA.
Kiwon LeeDepartment of Neurosurgery, University of Texas, Houston Health Science Center, Houston, TX, USA.
James C GrottaMemorial Hermann Hospital-Texas Medical Center, Houston, TX, USA.
The University of Texas Health Science Center at Houston · USSeoul National University · KRTexas Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobal cerebral edema (GCE) is a manifestation of early brain injury (EBI) after subarachnoid hemorrhage (SAH) and is an independent risk factor for poor outcome. The lack of a quantitative method to measure GCE limits the study of its pathophysiology. The goal of this study is to develop a quantitative surrogate marker that represents GCE after SAH.

methodsPatients with spontaneous SAH were enrolled into a prospective observational database. Initial CT scans were graded for GCE using established qualitative criteria. Selective sulcal volume (SSV) was defined as total mL of sulcal volumes on axial CT slices above the most cranial section of the lateral ventricles to the last visible section. Using a semiautomatic threshold approach, sulcal regions were traced out with manual adjustments when necessary. The volume of sulci in each slice was calculated and multiplied by the slice thickness and number of slices to calculate the SSV. All volumetric analysis was performed using Medical Image Processing, Analysis and Visualization Version 7.0.1 (MIPAV).

resultsA total of 109 subjects were included in our analysis. Mean selective sulcal volumes (SSV) differed between subjects with and without GCE 4.5 and 21.2 mL (P < 0.001). When separated into quartiles, the odds of qualitative GCE increases as SSV decreases. Compared to the highest SSV quartile, smaller SSV was associated with worse clinical outcomes.

conclusionGCE can be quantified using volumetric analysis of SSV measurements on routine CT scans. Smaller SSV on admission is predictive of worse clinical outcomes. SSV may be an important marker of EBI after SAH.

Indexed as

RegistriesAdultAgedBrain EdemaFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedSubarachnoid HemorrhageTomography, X-Ray ComputedGlobal cerebral edemaSAHSulcal volume

Identifiers

PMID26703130
OpenAlexW2237998177

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.