Evidence map›Paper›PMID 42598018›Full record

ArticleJournal of the American College of Emergency Physicians open2026

The Infant Feeding History: An Evidence-Informed 9-Item Structured History for Detecting Serious Illness in the Emergency Department.

Joel Berezow, Chrysalis Mandell, Ellery H Schlingmann, Cheryl Vance, Robert A Dudas

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2026. 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.

Joel BerezowDepartment of Emergency Medicine, Columbia University Medical Center, New York, New York, USA.
Chrysalis MandellNew York University Grossman Long Island School of Medicine, Long Island, New York, USA.
Ellery H SchlingmannUniversity of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Cheryl VanceDepartments of Pediatrics and Emergency Medicine, University of California/Davis School of Medicine, Sacramento, California, USA.
Robert A DudasDepartment of Pediatrics, Johns Hopkins All Children's Hospital, St. Petersburg, Florida, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seriously ill infants frequently present to emergency departments with vague or nonspecific symptoms, making early identification of these patients challenging. Changes in feeding behavior are among the most reliable early indicators of pathology. This article outlines an evidence-informed, structured approach to the infant feeding history, proposing a 9-item tool to aid frontline providers in detecting life-threatening conditions. This tool utilizes the feeding history to evaluate an infant's vigor and hydration, and aids in the identification of red flags for serious or life-threatening conditions. Normative feeding patterns by age are provided to contextualize deviations. This evidence-informed framework is intended to standardize and strengthen feeding history assessment; prospective studies are needed to validate its diagnostic performance and determine whether a scoring threshold or abbreviated version is feasible. By integrating this tool into clinical practice, providers may be able to improve diagnostic accuracy, reduce missed diagnoses, and enhance parental counseling and anticipatory guidance at discharge from the emergency department.

Indexed as

emergency departmentinfant feedingpediatric triageserious illness identification

Identifiers

PMID42598018
PMCPMC13471136

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.