Evidence map›Paper›PMID 36796783›Full record

ArticleClinical and experimental emergency medicine2023

A clinical approach to an unidentified aerosolized bioterrorism agent: a narrative review for emergency providers.

Rashed Alremeithi, Natalie Sullivan, Hannah Checkeye, Maryann Mazer-Amirshahi, Ali Pourmand

Abstract read
In one paragraph

Article in Clinical and experimental emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Rashed AlremeithiDepartment of Emergency Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Natalie SullivanDepartment of Emergency Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Hannah CheckeyeDepartment of Emergency Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Maryann Mazer-AmirshahiDepartment of Emergency Medicine, MedStar Washington Hospital Center, Georgetown University School of Medicine, Washington, DC, USA.
Ali PourmandDepartment of Emergency Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current heightened international political climate is accompanied by increased risk of chemical or biological agent weaponization. Historical accounts of biochemical warfare are extensive, and considering the recent use of such agents for targeted attacks, clinicians need to recognize and manage these cases. However, agent properties such as the color, odor, ability to be aerosolized, and long incubation period can introduce difficulties in the diagnostic and management approach. We searched PubMed and Scopus for a colorless, odorless, aerosolized substance with an incubation period of at least 4 hours. Data from articles were summarized and reported by agent. Based on data from the available literature, we included agents such as nerve agents, ricin, botulinum toxin, anthrax, tularemia, and psittacosis in this review. We also highlighted potential chemical and biological agents that could be weaponized and the optimal strategies for the diagnosis and treatment of patients exposed to an unknown aerosolized biological or chemical bioterrorism agent.

Indexed as

Biological warfare agentsBioterrorismChemical warfare agentsEmergency departmentNerve agents

Identifiers

PMID36796783
PMCPMC10350351

What OpenQuestion holds

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LicenceCC BY-NC
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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.