Evidence map›Paper›PMID 41407098›Full record

ArticleContemporary clinical trials2026

Improving diagnostic safety through STeatosis Identification, Risk stratification, and Referral pathway in the ED (STIRRED): Protocol for an effectiveness implementation trial.

Danielle M McCarthy, Lisa B VanWagner, Miriam R Rafferty, Kenzie A Cameron, Jungwha Lee, Siyuan Dong, Anuva Fellner, Amy V Kontrick

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06944353 (Improving Diagnostic Safety Through STeatosis Identification, Risk Stratification, and Referral in the ED), which is not on this 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.

NCT06944353 naenrolling by invitationnot on this map

Improving Diagnostic Safety Through STeatosis Identification, Risk Stratification, and Referral in the ED (STIRRED)

TypeinterventionalSponsorNorthwestern UniversityRan2025 to 2028Enrolled4,704ConditionsNon-Alcoholic Fatty Liver Disease, Steatosis of Liver, Metabolic Dysfunction-Associated Steatotic Liver DiseaseArmsSTIRRED
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

8 authors.

Danielle M McCarthyDepartment of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. Electronic address: d-mccarthy2@northwestern.edu.
Lisa B VanWagnerDivision of Digestive and Liver Diseases, Department of Medicine, University of Texas Southwestern, Dallas, TX 75390, USA.
Miriam R RaffertyDepartments of Physical Medicine & Rehabilitation and Psychiatry & Behavioral Science, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Kenzie A CameronDivision of General Internal Medicine, Department of Medicine and Department of Medical Education, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA.
Jungwha LeeDepartment of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA.
Siyuan DongDepartment of Preventive Medicine, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA.
Anuva FellnerDepartment of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
Amy V KontrickDepartment of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.

Funding

AHRQ HHS R01 HS029777
6 · The paper itself

Abstract

backgroundUp to a quarter of emergency department (ED) patients have incidental hepatic steatosis (fatty liver) noted on imaging studies; however, patients are infrequently notified about this new finding. This lack of communication may have consequences including delayed diagnosis of metabolic associated steatotic liver disease (MASLD) and disease progression.

methodsThis type-2 hybrid effectiveness-implementation study uses a Stepped Wedge-Cluster Randomized Trial design across 11 EDs to evaluate an electronic health record (EHR) delivered intervention. The STeatosis Identification, Risk stratification, and Referral pathway in the ED (STIRRED) clinical decision support system leverages the EHR to identify cases of hepatic steatosis and deliver risk-stratified communication to clinicians supporting patient notification about hepatic steatosis in the ED. The primary effectiveness outcome will be receipt of a new steatotic liver disease-related diagnosis among high-risk patients within 120 days post-ED discharge; the primary implementation outcome is fidelity, defined as the degree to which STIRRED was delivered as intended. Over the study period, ∼4700 patients with incidental hepatic steatosis will be analyzed, including 616 high-risk patients, providing 80 % power to detect a risk difference of 5.6 % (odds ratio of 3.5) between STIRRED and usual care in the receipt of a new steatotic liver disease-related diagnosis. DISCUSSION: This trial uses the electronic health record to deliver an evidence-based risk stratification score and referral recommendation to the bedside clinician in patients with incidentally noted hepatic steatosis. Rigorous implementation science methodology used in both the intervention development and assessment will increase the usability of the intervention and future scalability.

trial registrationThis trial was prospectively registered on 10/9/2024 with ClinicalTrials.gov (# NCT06944353).

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsEmergency Service, HospitalFatty LiverReferral and ConsultationHumansIncidental FindingsRandomized Controlled Trials as TopicRisk AssessmentClinical decision support systemsEmergency department dischargeHepatic steatosisIncidental findingMetabolic associated steatotic liver disease

Identifiers

PMID41407098
PMCPMC13107336

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.