Evidence map›Paper›PMID 30515434›Full record

ReviewOpen forum infectious diseases2018

EQUAL

Andrej Spec, Carlos Mejia-Chew, William G Powderly, Oliver A Cornely

Open access · goldAbstract readReview
In one paragraph

Review in Open forum infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. The 2025 EQUALJAC-antimicrobial resistance · 2025
    Article
  3. Infection and drug resistance · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. 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

4 authors at 2 institutions in 2 countries.

Andrej SpecDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0001-7612-4710
Carlos Mejia-ChewDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri.
William G PowderlyDivision of Infectious Diseases, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri.
Oliver A CornelyDepartment I of Internal Medicine, University Hospital of Cologne, Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), and Clinical Trials Centre Cologne (ZKS Köln), University of Cologne, Cologne, Germany.
Washington University in St. Louis · USUniversity of Cologne · DE

Funding

Maternal Immune Responsiveness As CLinical Target for Preterm Birth Prevention (MIRACL)K23NR017902 · NINR · OHIO STATE UNIVERSITY · PI GILLESPIE, SHANNON L. · 2018 to 2020
$477k
6 · The paper itself

Abstract

Cryptococcocis is an opportunistic fungal infection with high morbidity and mortality. Guidelines to aid clinicians regarding diagnosis, management, and treatment can be extensive and challenging to comply with. There is no tool to measure guideline adherence. To create such a tool, we reviewed current guidelines from the Infectious Diseases Society of America, the World Health Organization, the American Society of Transplantation, and recent significant publications to select the strongest recommendations as vital components of our scoring tool. Items included diagnostic tests (blood, tissue, and cerebrospinal fluid cultures,

Indexed as

Cryptococcusfungal infectionguideline adherencescoretherapy

Identifiers

PMID30515434
PMCPMC6262117
OpenAlexW2901393474

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.