Evidence map›Paper›PMID 24932405›Full record

ArticleFluids and barriers of the CNS2014

Cerebrospinal fluid is drained primarily via the spinal canal and olfactory route in young and aged spontaneously hypertensive rats.

Lucy A Murtha, Qing Yang, Mark W Parsons, Christopher R Levi, Daniel J Beard, Neil J Spratt, Damian D McLeod

Open access · goldAbstract read
In one paragraph

Article in Fluids and barriers of the CNS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

75 citing papers in PubMed, 122 citations in OpenAlex.

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15 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 1 country.

Lucy A MurthaUniversity of Newcastle and Hunter Medical Research Institute, University of Newcastle: School of Biomedical Sciences & Pharmacy, Medical Sciences Building, Callaghan, NSW 2308, Australia.
Qing YangApollo Medical Imaging Technology Pty Ltd, Suite 611, 365 Little Collins Street, Melbourne, Vic 3000, Australia.
Mark W ParsonsHunter New England Local Health District: Department of Neurology, John Hunter Hospital, Locked Bag 1, Hunter Region M.C, NSW 2310, Australia.
Christopher R LeviHunter New England Local Health District: Department of Neurology, John Hunter Hospital, Locked Bag 1, Hunter Region M.C, NSW 2310, Australia.
Daniel J BeardUniversity of Newcastle and Hunter Medical Research Institute, University of Newcastle: School of Biomedical Sciences & Pharmacy, Medical Sciences Building, Callaghan, NSW 2308, Australia.
Neil J SprattUniversity of Newcastle and Hunter Medical Research Institute, University of Newcastle: School of Biomedical Sciences & Pharmacy, Medical Sciences Building, Callaghan, NSW 2308, Australia ; Hunter New England Local Health District: Department of Neurology, John Hunter Hospital, Locked Bag 1, Hunter Region M.C, NSW 2310, Australia.
Damian D McLeodUniversity of Newcastle and Hunter Medical Research Institute, University of Newcastle: School of Biomedical Sciences & Pharmacy, Medical Sciences Building, Callaghan, NSW 2308, Australia.
Hunter New England Local Health District · AUUniversity of Newcastle Australia · AUApollo Medical Imaging Technology (Australia) · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany aspects of CSF dynamics are poorly understood due to the difficulties involved in quantification and visualization. In particular, there is debate surrounding the route of CSF drainage. Our aim was to quantify CSF flow, volume, and drainage route dynamics in vivo in young and aged spontaneously hypertensive rats (SHR) using a novel contrast-enhanced computed tomography (CT) method.

methodsICP was recorded in young (2-5 months) and aged (16 months) SHR. Contrast was administered into the lateral ventricles bilaterally and sequential CT imaging was used to visualize the entire intracranial CSF system and CSF drainage routes. A customized contrast decay software module was used to quantify CSF flow at multiple locations.

resultsICP was significantly higher in aged rats than in young rats (11.52 ± 2.36 mmHg, versus 7.04 ± 2.89 mmHg, p = 0.03). Contrast was observed throughout the entire intracranial CSF system and was seen to enter the spinal canal and cross the cribriform plate into the olfactory mucosa within 9.1 ± 6.1 and 22.2 ± 7.1 minutes, respectively. No contrast was observed adjacent to the sagittal sinus. There were no significant differences between young and aged rats in either contrast distribution times or CSF flow rates. Mean flow rates (combined young and aged) were 3.0 ± 1.5 μL/min at the cerebral aqueduct; 3.5 ± 1.4 μL/min at the 3rd ventricle; and 2.8 ± 0.9 μL/min at the 4th ventricle. Intracranial CSF volumes (and as percentage total brain volume) were 204 ± 97 μL (8.8 ± 4.3%) in the young and 275 ± 35 μL (10.8 ± 1.9%) in the aged animals (NS).

conclusionsWe have demonstrated a contrast-enhanced CT technique for measuring and visualising CSF dynamics in vivo. These results indicate substantial drainage of CSF via spinal and olfactory routes, but there was little evidence of drainage via sagittal sinus arachnoid granulations in either young or aged animals. The data suggests that spinal and olfactory routes are the primary routes of CSF drainage and that sagittal sinus arachnoid granulations play a minor role, even in aged rats with higher ICP.

Indexed as

AgeCerebrospinal fluid dynamicsComputed tomographyContrastCSFIntracranial pressure (ICP)SHRSpontaneously hypertensive rat

Identifiers

PMID24932405
PMCPMC4057524
OpenAlexW2170435537

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.