Evidence map›Paper›PMID 41767349›Full record

ReviewHealth science reports2026

Nonpharmacological Pain Management for Premature Neonates in Neonatal Intensive Care Units: A Meta-Analysis.

Kristine Kleven, Chirag C Sheth

Abstract readReview
In one paragraph

Review in Health science reports, 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

2 authors.

Kristine KlevenDepartment of Medicine School of Health Sciences Universidad Cardenal Herrera-CEU, CEU Universities Alfara del Patriarca Spain.
Chirag C ShethDepartment of Medicine School of Health Sciences Universidad Cardenal Herrera-CEU, CEU Universities Alfara del Patriarca Spain.ORCID https://orcid.org/0000-0002-8303-0218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Preterm neonates are at higher risk of cumulative procedural pain at a crucial point in brain development. Several procedures performed in neonatal intensive care units (NICUs) have ineffective or absent pain management protocols. Nonpharmacological interventions are simple to implement and cost-efficient. Still, these interventions are underused, and knowledge surrounding the variety of different interventions is lacking. The primary objective of this meta-analysis is to compare and describe nonpharmacological pain management in different clinical procedures in NICUs using Premature Infant Pain Profile (PIPP) as the primary outcome measure. Methods: A literature search was conducted using the databases PubMed (MEDLINE), ScienceDirect, and EBSCO. Selection criteria limited the inclusion of studies describing a nonpharmacological pain-management technique applied to preterm neonates during a painful procedure in a NICU, and which reported pain scores using the PIPP scale. Studies published during the last 10 years were included. A total of 22 types of nonpharmacological pain management strategies were analyzed, as well as combination therapies. Results: A total of 391 articles were retrieved. Following screening, 45 articles were selected for analysis. Our analysis of nonpharmacological pain management strategies for invasive procedures in NICU patients found that the highest mean effect size was observed for multimodal therapies (mean Hedges' Conclusion: Nonpharmacological pain management is most effective on procedures that cause mild to moderate pain according to PIPP classification. Multimodal therapies were most effective. The therapies showed positive results on pain reduction and on neurobehavioral patterns and reduced cumulative stress.

Identifiers

PMID41767349
PMCPMC12946658

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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.