Evidence map›Paper›PMID 40927242›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2025

Don't know much about geography? Decision support for the evaluation of patients with suspected high consequence infectious diseases.

Jacob E Lazarus, Michelle S Jerry, Lindsay Germaine, Chloe V Green, Jason Parente, Eileen F Searle, Erica S Shenoy

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2025. 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

7 authors.

Jacob E LazarusDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0001-9286-3548
Michelle S JerryDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Lindsay GermaineClinical Informatics and Digital Health, Mass General Brigham, Boston, MA, USA.
Chloe V GreenDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Jason ParenteDepartment of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA.
Eileen F SearleCenter for Disaster Medicine, Massachusetts General Hospital, Boston, MA, USA.
Erica S ShenoyDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0001-8086-1123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

EvalHCID is a clinical decision support system integrating outbreak intelligence, symptom onset, and epidemiologic risk factors to identify high consequence infectious diseases (HCIDs) (eg, Ebola). Tested among 20 emergency department (ED) providers, it significantly reduced assessment time, lowered misclassification, and scored "excellent" usability. EvalHCID may improve institutional preparedness and patient outcomes for emerging infectious disease threats.

Identifiers

PMID40927242
PMCPMC12415783

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.