Evidence map›Paper›PMID 19770734›Full record

ArticleCritical care medicine2009

Variation in cerebral blood flow velocity with cerebral perfusion pressure >40 mm Hg in 42 children with severe traumatic brain injury.

Shaji Philip, Onuma Chaiwat, Yuthana Udomphorn, Anne Moore, Jerry J Zimmerman, William Armstead, Monica S Vavilala

Abstract read
In one paragraph

Article in Critical care medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Establishing normal Lindegaard Ratio in healthy children 10-16 years of age.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Pediatric neurocritical care.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2012
    Review
  7. Transcranial Doppler can predict intracranial hypertension in children with severe traumatic brain injuries.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2011
    Article
  8. Article
  9. Article
  10. Review
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 1 institution in 1 country.

Shaji PhilipDepartment of Anesthesiology, University of Washington, Seattle, WA, USA.
Onuma Chaiwat
Yuthana Udomphorn
Anne Moore
Jerry J Zimmerman
William Armstead
Monica S Vavilala
University of Washington · US

Funding

Hemodynamics and Outcome in Pediatric Brain InjuryK23HD044632 · NICHD · UNIVERSITY OF WASHINGTON · PI VAVILALA, MONICA SHANTA · 2003 to 2007
$630k
NICHD NIH HHS K23 HD044632
6 · The paper itself

Abstract

objective: To determine the prevalence of low, normal, and high mean middle cerebral artery flow velocity when cerebral perfusion pressure is >40 mm Hg in children with severe traumatic brain injury. There is no information regarding the relationship between middle cerebral artery flow velocity and cerebral perfusion pressure in pediatric traumatic brain injury.

design: Prospective, observational study.

setting: Level I pediatric trauma center. PATIENTS: : A total of 42 children <17 yrs of age with an admission diagnosis of severe traumatic brain injury (admission Glasgow Coma Scale score of <9), traumatic brain injury on computed tomography scan, tracheal intubation/mechanical ventilation, and intracranial pressure monitoring.

interventions: None. MEASUREMENTS AND MAIN

results: Bilateral middle cerebral arteries were insonated using transcranial Doppler ultrasonography to calculate mean middle cerebral artery flow velocity after traumatic brain injury. Low mean middle cerebral artery flow velocity was defined as middle cerebral artery flow velocity <2 standard deviation and high was defined as mean middle cerebral artery flow velocity >2 standard deviation. Patients were grouped by age (0.8-2.9, 3-5.9, 6-9.9, and 10-16.9 yrs) and gender to examine the relationship between cerebral perfusion pressure and low, high, or normal mean middle cerebral artery flow velocity. Potential confounders of the relationship between cerebral perfusion pressure and mean middle cerebral artery flow velocity (intracranial pressure, PaCO2, hematocrit, sedation, fever,and impaired autoregulation were examined). Most children (n = 33; 79%) had normal mean middle cerebral artery flow velocity but four patients (9%) had low mean middle cerebral artery flow velocity and five children (12%) had high mean middle cerebral artery flow velocity despite cerebral perfusion pressure >40 mm Hg. There was no difference in potential confounders of the relationship between cerebral perfusion pressure and mean middle cerebral artery flow velocity except for hematocrit, which was lower (25 +/- 4%; range = 21-30%) in children with high mean middle cerebral artery flow velocity. An inverse relationship between mean middle cerebral artery flow velocity and hematocrit was also found in boys aged 10 to 16.9 yrs.

conclusions: Both low and/or high mean middle cerebral artery flow velocity occur with cerebral perfusion pressure >40 mm Hg in severe pediatric traumatic brain injury. Of the potential confounders considered, only lower hematocrit was associated with high mean middle cerebral artery flow velocity.

Indexed as

AdolescentBlood Flow VelocityBlood PressureBrain InjuriesCerebrovascular CirculationChildChild, PreschoolFemaleGlasgow Coma ScaleHematocritHumansInfantMaleMiddle Cerebral ArteryProspective StudiesSex Factors

Identifiers

PMID19770734
PMCPMC2766437
OpenAlexW2025582678

What OpenQuestion holds

Textmetadata
LicenceTDM
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.