ReviewMonatsschrift Kinderheilkunde : Organ der Deutschen Gesellschaft fur Kinderheilkunde2022
[Biomarkers and neuromonitoring for prognosis of development after perinatal brain damage].
Review in Monatsschrift Kinderheilkunde : Organ der Deutschen Gesellschaft fur Kinderheilkunde, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- Quantitative Magnetic Resonance Imaging for Neurodevelopmental Outcome Prediction in Neonates Born Extremely Premature-An Exploratory Study.Clinical neuroradiology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the perinatal period the developing brain is extremely vulnerable for a variety of insults. Perinatal conditions, such as extreme prematurity, perinatal asphyxia, and their complications can lead to lifelong sensorimotor, cognitive and behavioral impairment. Prediction of long-term neurodevelopment of preterm and ill term infants at risk for brain injury at an early stage remains a big challenge. Identification of brain lesions and disturbed function is essential for an accurate diagnosis. Currently, the prediction of the outcome is based on a variety of diagnostic tools and clinical assessment of developmental milestones. Several methods for early diagnosis and neuromonitoring of brain injury are available, such as cerebral ultrasound, magnetic resonance imaging (MRI) at term-equivalent age as well as neuromonitoring tools, such as amplitude-integrated electroencephalography (aEEG) and/or conventional EEG and near-infrared spectroscopy (NIRS), general movements assessment (GMA) and clinical assessment by, e.g., the Hammersmith neonatal/infant neurological examination (HNNE/HINE), all of which require substantial personnel and also technical resources. As better biomarkers are urgently needed scientific investigations currently focus on identification of innovative biomarker patterns (omics) and (epi)genetic markers. Furthermore, the individual child's development is determined not only by clinical risk factors, such as associated diseases but also by the socioeconomic environment. Estimation of the most accurate and early prognosis is cost-intensive, but crucial to adequately guide patients and counsel families. The initiation of early interventions is important as the plasticity of the developing brain is highest around birth and in the first few months of life. This review focuses on the characterization of the abovementioned diagnostic tools and the possibilities for combination for outcome prognosis. In addition, an outlook is given on how new technologies can facilitate the prediction of development and follow-up care of these children following perinatal brain injury.
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Registered trials
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.