Evidence map›Paper›PMID 28975470›Full record

ReviewCurrent infectious disease reports2017

Infections of the Central Nervous System in Returning Travelers and Immigrants.

Haley Thompson, Kiran Thakur

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current infectious disease reports, 2017. 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
2.0field-weighted citation impact, top 13% 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.

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, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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.

Haley ThompsonNew York Medical College, 40 Sunshine Cottage Road, Valhalla, New York, 10595, USA.
Kiran ThakurDivision of Critical Care and Hospitalist Neurology, Department of Neurology, Columbia University Medical Center, 177 Fort Washington Avenue, Milstein Hospital, 8GS-300, New York, NY, 10032, USA. ktt2115@cumc.columbia.edu.
Columbia University Irving Medical Center · USNew York Medical College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis review highlights current knowledge in travel-related neuroinfectious diseases, providing insight on approaches to prevention, diagnosis, and treatment of infections of the central nervous system (CNS) in travelers and immigrants. RECENT

findingsUpdates on travel vaccine recommendations including vaccine-specific interactions with immunosuppressive agents, advances in Zika virus and dengue virus vaccine development, new diagnostic criteria for neurocysticercosis, updates on treatment approaches for tuberculosis meningitis. Increasing rates of travel are leading to the spread of known infectious diseases and the emergence of new diseases in travel medicine. Among these infections, neuroinfectious diseases carry significant morbidity and mortality. To reduce the effect of travel-related illness, appropriate pre-travel measures and up-to-date diagnostic and treatment strategies are essential for optimal outcomes. This review highlights important travel information relevant to neuroinfectious diseases for several populations including immunocompetent, immunocompromised, pregnant, and infant/children travelers. It also outlines the travel risk, clinical presentation, diagnosis, and management of a select list of neuroinfectious diseases by region, including neurocysticercosis, Zika virus, tuberculosis meningitis, rabies, and tick-borne encephalitis.

Indexed as

EncephalitisInfections in travelers and immigrantsMeningitisParasitic infectionsVaccinations

Identifiers

PMID28975470
OpenAlexW2761049052

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.