Evidence map›Paper›PMID 41859695›Full record

ArticleFrontiers in pediatrics2026

From touch to triage: translating the NAME model into clinical practice for enhanced neonatal assessment.

Francesco Cerritelli, Caterina Accardi, Alessia Alati, Adele Alberti, Marco Chiera, Matteo Galli, Chiara Leva, Erica Lombardi, Micol Pivotto, Sonia Travaglini and 4 more

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 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

14 authors.

Francesco CerritelliNYIT College of Osteopathic Medicine, Old Westbury, NY, United States.
Caterina AccardiRAISE Lab, Foundation COME Collaboration, Milan, Italy.
Alessia AlatiRAISE Lab, Foundation COME Collaboration, Milan, Italy.
Adele AlbertiRAISE Lab, Foundation COME Collaboration, Milan, Italy.
Marco ChieraRAISE Lab, Foundation COME Collaboration, Milan, Italy.
Matteo GalliRAISE Lab, Foundation COME Collaboration, Milan, Italy.
Chiara LevaRAISE Lab, Foundation COME Collaboration, Milan, Italy.
Erica LombardiRAISE Lab, Foundation COME Collaboration, Milan, Italy.
Micol PivottoRAISE Lab, Foundation COME Collaboration, Milan, Italy.
Sonia TravagliniRAISE Lab, Foundation COME Collaboration, Milan, Italy.
Sonia ZaniniRAISE Lab, Foundation COME Collaboration, Milan, Italy.
Jordan KeysNYIT College of Osteopathic Medicine, Old Westbury, NY, United States.
Kimberly WolfTouro University California College of Osteopathic Medicine, Vallejo, CA, United States.
Andrea ManzottiRAISE Lab, Foundation COME Collaboration, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objectives: The Neonatal Assessment Manual scorE (NAME) model has emerged as a novel, structured, touch-based approach to evaluating neonates' general conditions, with growing evidence supporting its validity and reliability in NICU settings. However, there is a critical need to integrate this method into clinical workflows and explore its translational potential in improving neonatal care. This paper aims to consolidate the body of evidence surrounding the NAME model and propose a clinically implementable strategy to enhance neonatal assessment, early detection of complications, and overall health outcomes in NICU settings. Methods: We critically appraised key NAME studies encompassing theoretical rationale, construct and content validity, inter-rater reliability, and clinical correlations in NICU populations. Drawing from these findings, we developed a stepwise clinical framework for NAME integration, aligning it with existing neonatal care protocols. Results: Evidence demonstrates that NAME scores correlate significantly with infants' gestational age, birth weight, and complexity indices ( Conclusions: The NAME model, grounded in physiological and clinical evidence, represents a promising paradigm shift in neonatal assessment. Its systematic adoption may facilitate early risk detection, personalized care planning, and improved outcomes in NICU populations. Future implementation studies are needed to validate its operational impact across diverse care settings and age groups.

Indexed as

autonomic nervous systemneonatal assessmentNICU clinical toolsprematurity and health outcomestouch-based evaluation

Identifiers

PMID41859695
PMCPMC12996127

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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.