Evidence map›Paper›PMID 39609614›Full record

ReviewPediatric research2025

If things were simple, word would have gotten around. Can complexity science help us improve pediatric research?

Suzanne F Fustolo-Gunnink, Willem P de Boode, Olaf M Dekkers, Gorm Greisen, Enrico Lopriore, Federica Russo

Abstract readReview
In one paragraph

Review in Pediatric research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

6 authors.

Suzanne F Fustolo-GunninkInstitute for Advanced Study, University of Amsterdam, Amsterdam, the Netherlands. s.f.gunnink@amsterdamumc.nl.
Willem P de BoodeDepartment of Neonatology, Radboud University Medical Center, Radboud Institute for Health Sciences, Amalia Children's Hospital, Nijmegen, the Netherlands.
Olaf M DekkersDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Gorm GreisenDepartment of Neonatology, Rigshospitalet and Copenhagen University, Copenhagen, Denmark.
Enrico LoprioreDepartment of Pediatrics, Division of Neonatology, Leiden University Medical Center, Willem-Alexander Children's Hospital, Leiden, the Netherlands.
Federica RussoFreudenthal Institute, Faculty of Science, Utrecht University, Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complexity science is a discipline which explores how complex systems behave and how we interact with them. Though it is widely implemented outside medicine, particularly in the sciences involving human behavior, but also in the natural sciences such as physics and biology, there are only a few applications within medical research. We propose that complexity science can provide new and helpful perspectives on complex pediatric medical problems. It can help us better understand complex systems and develop ways to cope with their inherent unpredictabilities. In this article, we provide a brief introduction of complexity science, explore why many medical problems can be considered 'complex', and discuss how we can apply this perspective to pediatric research. IMPACT: Current methods in pediatric research often focus on single mechanisms or interventions instead of systems, and tend to simplify complexity. This may not be appropriate. Complexity science provides a framework and a toolbox to better address complex problems. This review provides a starting point for the application of complexity science in pediatric research.

Indexed as

Biomedical ResearchPediatricsSystems AnalysisChildHumansResearch Design

Identifiers

PMID39609614
PMCPMC12454120

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.