Evidence map›Paper›PMID 40416441›Full record

ReviewFrontiers in pediatrics2025

Elevated band count in the pediatric patient.

Aaron Grubner, Jennifer E Sanders, Regina M Longley, Maria Vergara-Lluri

Abstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2025. 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

4 authors.

Aaron GrubnerDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Jennifer E SandersDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Regina M LongleyIcahn School of Medicine at Mount Sinai, New York, NY, United States.
Maria Vergara-LluriDepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In this review article we survey the literature for current evidence in pediatric practice regarding the use of elevated band count in the pediatric emergency room. In addition, we present data from the literature on the wide variability of manual band counts to reconsider its utility in clinical practice. Background: Bandemia is commonly seen during a state of infection. Band count is determined by manual cell count and can be prone to inaccuracy and imprecision. Despite its shortcomings, the 100-cell manual differential count remains the most practical method for assessing left shift. Methods: All the literature involving the use of elevated band count as a biomarker in pediatrics available on PubMed and Google Scholar was surveyed. "Bandemia", "Band count", "left shift" and "immature neutrophils" were used as primary search terms, in conjunction with the term "pediatrics." Results: The most recent AAP guidelines do not incorporate band count in decision making for febrile neonates. Elevated band count is related to worse outcomes in non-operative management of appendicitis. Elevated band count can be seen in viral illness alone. Even severe bandemia (<20%) does not correlate with severe illness. Discussion: More studies are needed to definitively dispel the notion of bandemia and its association with invasive bacterial infection. Additionally, pediatric providers may benefit from professional society guidelines advising appropriate management of the pediatric patient with elevated band count.

Indexed as

band countbandemiaimmature neutrophilsleft shiftpediatrics

Identifiers

PMID40416441
PMCPMC12098603

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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.