Evidence map›Paper›PMID 23924886›Full record

ArticleScientific reports2013

Aetiologies of central nervous system infections in adults in Kathmandu, Nepal: a prospective hospital-based study.

Abhishek Giri, Amit Arjyal, Samir Koirala, Abhilasha Karkey, Sabina Dongol, Sudeep Dhoj Thapa, Olita Shilpakar, Rishav Shrestha, Le van Tan, Bkrong Nguyen Thi Thuy Chinh and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Spectrum of central nervous system infections in a tertiary health care centre in Cameroon.The Egyptian journal of neurology, psychiatry and neurosurgery · 2022
    Article
  4. Article
  5. Article
  6. Detection ofInfectious disease reports · 2021
    Article
  7. Isolation and identification ofAccess microbiology · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

16 authors.

Abhishek GiriOxford University Clinical Research Unit- Patan Hospital, Nepal.
Amit Arjyal
Samir Koirala
Abhilasha Karkey
Sabina Dongol
Sudeep Dhoj Thapa
Olita Shilpakar
Rishav Shrestha
Le van Tan
Bkrong Nguyen Thi Thuy Chinh
Radheshyam Krishna K C
Kamal Raj Pathak
Mila Shakya
Jeremy Farrar
H Rogier Van Doorn
Buddha Basnyat

Funding

Wellcome Trust
6 · The paper itself

Abstract

We conducted a prospective hospital based study from February 2009-April 2011 to identify the possible pathogens of central nervous system (CNS) infections in adults admitted to a tertiary referral hospital (Patan Hospital) in Kathmandu, Nepal. The pathogens of CNS infections were confirmed in cerebrospinal fluid (CSF) using molecular diagnostics, culture (bacteria) and serology. 87 patients were recruited for the study and the etiological diagnosis was established in 38% (n = 33). The bacterial pathogens identified were Neisseria meningitidis (n = 6); Streptococcus pneumoniae (n = 5) and Staphylococcus aureus (n = 2) in 13/87(14%). Enteroviruses were found in 12/87 (13%); Herpes Simplex virus (HSV) in 2/87(2%). IgM against Japanese encephalitis virus (JEV) was detected in the CSF of 11/73 (15%) tested samples. This is the first prospective molecular and serology based CSF analysis in adults with CNS infections in Kathmandu, Nepal. JEV and enteroviruses were the most commonly detected pathogens in this setting.

Indexed as

AdultBacterial InfectionsEncephalitisFemaleHospitalizationHumansIncidenceMaleMeningitisMiddle AgedNepalPrevalenceRisk Factors

Identifiers

PMID23924886
PMCPMC3737500

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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.