Evidence map›Paper›PMID 36111713›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics

[Clinical value of bedside transcranial doppler ultrasound in assessing intracranial pressure in critically ill pediatric patients with nervous system disease].

Tao Zhang, Chun-Feng Liu

Abstract read
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

2 authors.

Tao ZhangPediatric Intensive Care Unit, Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Chun-Feng LiuPediatric Intensive Care Unit, Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang 110004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study the value of bedside transcranial doppler (TCD) in evaluating the level of intracranial pressure (ICP) in critically ill pediatric patients with nervous system disease in the pediatric intensive care unit (PICU).

methodsA prospective analysis was performed on the critically ill pediatric patients with nervous system disease who were admitted to the PICU of Shengjing Hospital, China Medical University, from November 2020 to November 2021. Bedside TCD was performed on all patients, and pulsatility index (PI) was calculated. Bedside lumbar puncture was performed to measure ICP. A Pearson correlation analysis was used to assess the correlation between PI and ICP. The receiver operating characteristic (ROC) curve was used to assess the value of PI in the diagnosis of elevated ICP (≥20 mm Hg).

resultsA total of 56 children were included in the study. The top three primary diseases were intracranial infection (24 children, 43%), traumatic brain injury (TBI) (11 children, 20%), and cerebrovascular disease (5 children, 9%). The Pearson correlation analysis showed that PI was positively correlated with ICP (

conclusionsTCD technology for ICP monitoring can predict the change in ICP in critically ill pediatric patients with nervous system disease, suggesting it is useful for treatment options and prognosis evaluation.

Indexed as

Brain Injuries, TraumaticIntracranial HypertensionChildCritical IllnessHumansIntracranial PressureMonitoring, PhysiologicUltrasonography, Doppler, TranscranialChildIntracranial pressurePulsatility indexTranscranial doppler ultrasound

Identifiers

PMID36111713
PMCPMC9495246

What OpenQuestion holds

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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.