Evidence map›Paper›PMID 29061246›Full record

ReviewRheumatic diseases clinics of North America2017

Central Nervous System Infections Associated with Immunosuppressive Therapy for Rheumatic Disease.

Michael J Bradshaw, Tracey A Cho, Felicia C Chow

Open access · greenAbstract readCase ReportsReview
In one paragraph

Review in Rheumatic diseases clinics of North America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-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.

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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

3 authors at 3 institutions in 1 country.

Michael J BradshawPartners Multiple Sclerosis Center, Brigham and Women's Hospital and Massachusetts General Hospital, 60 Fenwood Road, 4th floor, Boston, MA 02115, USA.
Tracey A ChoDepartment of Neurology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.
Felicia C ChowDepartment of Neurology and Division of Infectious Diseases, University of California, San Francisco, Zuckerberg San Francisco General Hospital, 1001 Potrero Avenue, Building 1, Room 101, San Francisco, CA 94110, USA. Electronic address: felicia.chow@ucsf.edu.
Massachusetts General Hospital · USUniversity of California, San Francisco · USVanderbilt University Medical Center · US

Funding

Clinical and Transtional Science InstituteKL2TR000143 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$11.9M
NCATS NIH HHS KL2 TR000143
6 · The paper itself

Abstract

Patients on immunosuppressive therapy for rheumatic diseases are at increased risk of infection. Although infections of the central nervous system (CNS) are less common compared with other sites, patients on broadly immunosuppressive and biologic immunomodulatory agents may be susceptible to more severe, disseminated forms of infection, including of the CNS. Certain key principles regarding infection risk apply across immunosuppressive therapies, including increased risk with higher doses and longer duration of therapy and with combination therapy. Providers should be aware of the CNS infection risk related to immunosuppressant use to help guide best practices for screening and prophylaxis.

Indexed as

AdultCentral Nervous System InfectionsFemaleGlucocorticoidsHumansImmunosuppressive AgentsMiddle AgedRheumatic DiseasesGlucocorticoidsImmunosuppressive AgentsCentral nervous system infectionImmunomodulatory therapyImmunosuppressionRheumatic disease

Identifiers

PMID29061246
PMCPMC5679400
OpenAlexW2749214221

What OpenQuestion holds

Textmetadata
LicenceTDM
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.