Evidence map›Paper›PMID 26576072›Full record

ArticleBehavioural neurology2015

Gender Differences in Childhood Lyme Neuroborreliosis.

Dag Tveitnes, Knut Øymar

Open access · goldAbstract read
In one paragraph

Article in Behavioural neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Lyme Disease and Other Tick-Borne Infections.Current neurology and neuroscience reports · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Sexual dimorphism in bacterial infections.Biology of sex differences · 2018
    Review
  6. Article
  7. 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 1 institution in 1 country.

Dag TveitnesDepartment of Pediatrics, Stavanger University Hospital, Gerd Ragna Bloch Thorsens Gate 8, 4011 Stavanger, Norway.
Knut ØymarDepartment of Pediatrics, Stavanger University Hospital, Gerd Ragna Bloch Thorsens Gate 8, 4011 Stavanger, Norway ; Department of Clinical Science, University of Bergen, 5020 Bergen, Norway.
Stavanger University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany neurological diseases show differences between genders. We studied gender differences in childhood Lyme neuroborreliosis (LNB) in an endemic area of Lyme borreliosis in Norway.

methodsIn a population based study, all children (<14 years of age) with symptoms suspicious of LNB, including all children with acute facial nerve palsy, were evaluated for LNB by medical history, clinical examination, blood tests, and lumbar puncture. LNB was diagnosed according to international criteria.

results142 children were diagnosed with LNB during 2001-2009. Facial nerve palsy was more common in girls (86%) than in boys (62%) (p < 0.001), but headache and/or neck stiffness as the only symptom was more common in boys (30%) than in girls (10%) (p = 0.003). The girls were younger than boys and had a shorter duration of symptoms, but boys had a higher level of pleocytosis than girls. In a multivariate analysis, both gender and having headache and neck stiffness were associated with a higher level of pleocytosis.

conclusionGirls and boys have different clinical presentations of LNB, and boys have a higher level of inflammation than girls independent of the clinical presentation.

Indexed as

Sex CharacteristicsAdolescentAge FactorsChildChild, PreschoolFemaleHumansIncidenceInfantLyme NeuroborreliosisMaleNorwaySex Factors

Identifiers

PMID26576072
PMCPMC4630376
OpenAlexW2109155181

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.