Evidence map›Paper›PMID 42811092›Full record

ArticlePediatric research2026

Development and Validation of an Electronic Fluid Balance Calculator for Critically Ill Children.

Denise C Hasson, James D Odum, Ulka Kothari, Ami J Shah, Chloe G Braun, Celeste G Dixon, Julie C Fitzgerald, Adam C Dziorny, EDEMA Collaborative

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Article in Pediatric research, 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
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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

9 authors.

Denise C HassonDept of Pediatrics, Hassenfeld Children's Hospital at NYU Langone Health, New York, NY, USA. Denise.hasson@nyulangone.org.ORCID http://orcid.org/0000-0001-6172-4756
James D OdumDept of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, USA.
Ulka KothariDepartment of Pediatrics, NYU Long Island School of Medicine, Mineola, NY, USA.
Ami J ShahDept of Pediatrics, Hassenfeld Children's Hospital at NYU Langone Health, New York, NY, USA.
Chloe G BraunDepartment of Pediatrics, University of Louisville School of Medicine, Louisville, KY, USA.
Celeste G DixonDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Julie C FitzgeraldDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Adam C DziornyDept of Pediatrics, Golisano's Children's Hospital, University of Rochester School of Medicine, Rochester, NY, USA.
EDEMA Collaborative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our objective was to describe and validate the performance of a real-time cumulative fluid balance (CFB) calculator built into the electronic health record (EHR). We performed a retrospective cohort study in the cardiac and general medical-surgical pediatric ICUs of a single center and included all encounters between June-November 2025. Our outcome of interest was the daily calculated difference between the real-time %CFB calculator and a documented %CFB (from retrospective de-identified data extracted from the EHR) from the first fourteen ICU days. We calculated the number (%) of encounters whose difference varied by > 0.1%CFB and assessed correlation using Pearson correlation coefficients. We collected 468 unique hospital encounters spanning 154 days, making up 2041 ICU patient-days. The real-time %CFB calculator matched the documented %CFB within < 0.1% CFB on 1971 (96.6%) days. There were 34 encounters, 20 pediatric cardiac ICU and 14 pediatric medical/surgical ICU, whose difference was > 0.1%, correlation (R

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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.