Evidence map›Paper›PMID 32855979›Full record

ArticleProceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare2019

FUTURES: Forecasting the Unexpected Transfer to Upgraded REsources in Sepsis.

Alexa Profozich, Trevor Sytsma, Ryan Arnold, Kristen Miller, Muge Capan

Abstract read
In one paragraph

Article in Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alexa ProfozichDrexel University College of Medicine.
Trevor SytsmaPepperdine University.
Ryan ArnoldDrexel University College of Medicine.
Kristen MillerMedStar Health.
Muge CapanDrexel University LeBow College of Business.

Funding

Signaling Sepsis: Developing a framework to optimize alert designR01LM012300 · NLM · MEDSTAR HEALTH RESEARCH INSTITUTE · PI MILLER, KRISTEN ELIZABETH · 2016 to 2020
$1.4M
NLM NIH HHS R01 LM012300
6 · The paper itself

Abstract

Sepsis is one of the most deadly and costly diseases. The Emergency Department (ED) is the initial point of care for most patients who become hospitalized due to sepsis. Quantifying the accuracy of ED clinician forecasting regarding patients' clinical trajectories and outcomes can provide insight into clinical decision making and inform sepsis management.

Identifiers

PMID32855979
PMCPMC7449133

What OpenQuestion holds

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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.