Evidence map›Paper›PMID 24926442›Full record

ReviewFrontiers in cellular and infection microbiology2014

Forward genetic approaches for elucidation of novel regulators of Lyme arthritis severity.

Kenneth K C Bramwell, Cory Teuscher, Janis J Weis

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2014. 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
1.1field-weighted citation impact, top 27% 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, 12 citations in OpenAlex.

  1. Lyme borreliosis.Nature reviews. Disease primers · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Lyme disease: recent advances and perspectives.Frontiers in cellular and infection microbiology · 2015
    Article
  7. 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

3 authors at 1 institution in 1 country.

Kenneth K C BramwellDepartment of Pathology, University of Utah Salt Lake City, UT, USA.
Cory TeuscherDepartment of Medicine, University of Vermont Burlington, VT, USA.
Janis J WeisDepartment of Pathology, University of Utah Salt Lake City, UT, USA.
University of Vermont · US

Funding

MOLECULAR GENETICS OF LYME ARTHRITIS SUSCEPTIBILITYR01AR043521 · NIAMS · UNIVERSITY OF UTAH · PI WEIS, JANIS J. · 1994 to 2024
$9.4M
BORRELIA BURGDORFERI MITOGEN IN DEVELOPMENT OF ARTHRITISR01AI032223 · NIAID · UNIVERSITY OF UTAH · PI WEIS, JANIS J. · 1993 to 2023
$7.8M
Training Program in Microbial PathogenesisT32AI055434 · NIAID · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI MULVEY, MATTHEW A, PLANELLES, VICENTE · 2004 to 2025
$6.0M
NIAID NIH HHS R01 AI032223NIAID NIH HHS T32 AI055434NIAMS NIH HHS AR-43521NIAMS NIH HHS R01 AR043521
6 · The paper itself

Abstract

Patients experiencing natural infection with Borrelia burgdorferi display a spectrum of associated symptoms and severity, strongly implicating the impact of genetically determined host factors in the pathogenesis of Lyme disease. Herein, we provide a summary of the host genetic factors that have been demonstrated to influence the severity and chronicity of Lyme arthritis symptoms, and a review of the resources available, current progress, and added value of a forward genetic approach for identification of novel genetic regulators.

Indexed as

Disease SusceptibilityAnimalsBorrelia burgdorferiHumansLyme Diseasebeta-Glucuronidaseforward geneticsgenome-wide association studiesinflammationinnate immunity and responsesLyme arthritisLyme diseasepathogenesis

Identifiers

PMID24926442
PMCPMC4046100
OpenAlexW2038385014

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.