Evidence map›Paper›PMID 30297006›Full record

ReviewEmergency medicine clinics of North America2018

Approach to Transplant Infectious Diseases in the Emergency Department.

Diana Zhong, Stephen Y Liang

Abstract readReview
In one paragraph

Review in Emergency medicine clinics of North America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

2 authors.

Diana ZhongDepartment of Medicine, University of Washington, 1959 Northeast Pacific Street, Box 356429, Seattle, WA 98195, USA.
Stephen Y LiangDivision of Emergency Medicine, Washington University School of Medicine, 4523 Clayton Avenue, Campus Box 8072, St Louis, MO 63110, USA; Division of Infectious Diseases, Washington University School of Medicine, 4523 Clayton Avenue, Campus Box 8051, St Louis, MO 63110, USA. Electronic address: syliang@wustl.edu.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
WASHINGTON UNIVERSITY CER MENTORED CAREER DEVELOPMENT AWARD KM1KM1CA156708 · NCI · WASHINGTON UNIVERSITY · PI FRASER, VICTORIA J. · 2010 to 2010
$2.5M
NCATS NIH HHS UL1 TR002345NCI NIH HHS KM1 CA156708NCRR NIH HHS UL1 RR024992
6 · The paper itself

Abstract

The emergency department (ED) is an increasingly important site of care for patients who have undergone solid organ transplantation or hematopoietic cell transplantation. It is paramount for emergency physicians to recognize infections early on, obtain appropriate diagnostic testing, initiate empirical antimicrobial therapy, and consider specialty consultation and inpatient admission when caring for these patients. This review provides emergency physicians with an approach to the assessment of transplant patients' underlying risk for infection, formulation of a broad differential diagnosis, and initial management of transplant infectious disease emergencies in the ED.

Indexed as

Organ TransplantationBacterial InfectionsEmergency Service, HospitalHumansImmunocompromised HostIncidencePostoperative ComplicationsTransplantsUnited StatesEmergency departmentHematopoietic cell transplantationInfectious diseasesSolid organ transplantation

Identifiers

PMID30297006
PMCPMC6237280

What OpenQuestion holds

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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.