ArticlePakistan journal of medical sciences
Burden of neurological illnesses in a pediatric intensive care unit of developing country.
Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 10 citations in OpenAlex.
- Early Protocolized Rehabilitation Versus Usual Care in Improving Functional Outcomes in Pediatric Neurocritical Patients: A Randomized Controlled Trial.Neurocritical care · 2025Trial
- Pathways of Patients With Neurological Emergencies at Pediatric Emergency Department: A Process-Based Data Mining Study.European journal of neurology · 2026Article
- Feasibility and Clinical Utility of Low-Field Magnetic Resonance Imaging in Critically Ill Children: An Experience from Pakistan.Neurocritical care · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess the burden and spectrum of neurological illness in a pediatric intensive care unit and review the associated mortality.
methodsRetrospective review of medical records of children (1 mo-16 years) with acute neurological diagnosis admitted in PICU in Aga Khan University hospital from January 2008 to December 2011 was done. Basic demographic, diagnosis, neuro diagnostic procedures performed, therapies and outcomes were done on a structured datasheet.
resultsDuring study period, 231 (19.3%) patients were admitted with acute neurological illnesses in PICU. The mean age was 67 ±50 months, 54% (n=125) was under-five and 138 (59.7%) were males. Out of total, 144 (62.3%) had neurological illness and 87 (37.7%) had neurosurgical diagnosis. In acute neurological illness, 51.5% (n=119) had non-traumatic-coma (NTC) and 10.8% (n=25) had neuromuscular illness. CNS infection (26%, n=60) in structural cause and status epilepticus (10%, n=23) were the most common cause of structural and metabolic type of NTC respectively. Severe traumatic brain injury (21.2%, n=49) and postoperative neurosurgical illness (16.5%, n=38) were common neurosurgical cases in our cohort. The intensive care resources were utilized as mechanical ventilation in 78% (n=180), inotropic support in 29.4% (n=67) and therapeutic hypothermia in 33% (n=76). Fifty children (21.6%) required PICU care for observation only. More than 500 neurodiagnostic tests/procedures were performed in this cohort of children with acute neurological disorders in PICU. The mortality rate in neurological cases was 18% (42/231) as compared to the overall mortality rate was 12% in PICU.
conclusionAcute neurological disorders were common in PICU, and were associated with higher mortality. CNS infections, status epilepticus and severe traumatic brain injuries were the most common acute neurological illnesses in our cohort.
Indexed as
Identifiers
What OpenQuestion holds
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.