Evidence map›Paper›PMID 30232787›Full record

ReviewIndian journal of pediatrics2019

Diagnosis and Management of Acute Encephalitis in Children.

Satinder Aneja, Suvasini Sharma

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Indian journal of pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07241858 (Clinicolaboratory Predictors of Outcome in Children With Encephalitis), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 25% 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.

NCT07241858 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Clinicolaboratory Predictors of Outcome in Children With Encephalitis

TypeobservationalSponsorAssiut UniversityRan2026 to 2028Enrolled90ConditionsEncephalitis in Children, EncephalitisArmsCSF analysis and culture including S100B,Neuron Specific Enolase(NSE)
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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 at 2 institutions in 1 country.

Satinder AnejaDepartment of Pediatrics, School of Medical Sciences & Research, Sharda University, Greater Noida, Uttar Pradesh, 201310, India. drsaneja@gmail.com.ORCID http://orcid.org/0000-0001-9635-8792
Suvasini SharmaDepartment of Pediatrics, Lady Hardinge Medical College and Associated Kalawati Saran Children's Hospital, New Delhi, India.
Lady Hardinge Medical College · INSharda University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute encephalitis is a common cause of death and neurodevelopmental problems in children. The causative agents are numerous including infectious agents such as viruses, bacteria, mycobacteria and protozoa; para-infectious and immune mediated disorders such as acute disseminated encephalomyelitis (ADEM) and autoimmune encephalitis, especially the recently described anti-NMDA receptor encephalitis. Also, many viral associated encephalopathies such as acute necrotizing encephalopathy can mimic the presentation of acute encephalitis. In this article, authors describe the approach to the diagnosis and management of acute encephalitis in children.

Indexed as

Anti-Bacterial AgentsBrainChildDiagnosis, DifferentialElectroencephalographyEncephalitisGlucocorticoidsHumansIntracranial HypertensionMagnetic Resonance ImagingMedical History TakingPhysical ExaminationSpinal PunctureWater-Electrolyte ImbalanceAnti-Bacterial AgentsGlucocorticoidsADEMAutoimmune encephalitisJapanes B encephalitisViral encephalitis

Identifiers

PMID30232787
OpenAlexW2891979128

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.