Evidence map›Paper›PMID 29805825›Full record

ArticleCase reports in neurological medicine2018

CT Perfusion to Guide Placement of Invasive Cerebral Perfusion Monitor in Subarachnoid Hemorrhage Induced Vasospasm.

Hosam Al-Jehani, Judith Marcoux, Kawthar Hadhiah, Faisal Alabbas, Mark Angle, Jeanne Teitelbaum

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Case reports in neurological medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 2 countries.

Hosam Al-JehaniDepartment of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.ORCID 0000-0002-3830-9789
Judith MarcouxDepartment of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
Kawthar HadhiahDepartment of Neurosurgery and Critical Care Medicine, King Fahad Hospital of the University, Imam Abdulrahman bin Faisal University, Al-Khobar, Saudi Arabia.
Faisal AlabbasDepartment of Neurosurgery and Critical Care Medicine, King Fahad Hospital of the University, Imam Abdulrahman bin Faisal University, Al-Khobar, Saudi Arabia.
Mark AngleDepartment of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
Jeanne TeitelbaumDepartment of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
Montreal Neurological Institute and Hospital · CAKing Fahd Hospital of the University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVasospasm is a challenging component of the subarachnoid hemorrhage "syndrome" that is unpredictable and very difficult to monitor using noninvasive or invasive monitoring technologies in neurocritical units.

methodsWe describe the novel use of computerized tomography perfusion (CTP) imaging to choose proper targets for invasive cerebral blood flow monitors.

resultsA total of 3 patients are included in this report. CTP parameters were used to generate points of interest to target using invasive cerebral monitoring of the cerebral blood flow and initiate vasodilator therapy and subsequently guide its weaning.

conclusionsCTP can be useful in localizing a specific anatomical target for invasive monitoring in subarachnoid hemorrhage patients suffering from vasospasm.

Identifiers

PMID29805825
PMCPMC5904811
OpenAlexW2796388665

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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.