Evidence map›Paper›PMID 39567650›Full record

ReviewJournal of perinatology : official journal of the California Perinatal Association2025

Towards a new taxonomy of preterm birth.

David K Stevenson, Alan L Chang, Ronald J Wong, Jonathan D Reiss, Brice Gaudillière, Karl G Sylvester, Xuefeng B Ling, Martin S Angst, Gary M Shaw, Michael Katz and 2 more

Abstract readReview
In one paragraph

Review in Journal of perinatology : official journal of the California Perinatal Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

David K StevensonDepartment of Pediatrics, Division of Neonatal & Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA. dstevenson@stanford.edu.ORCID http://orcid.org/0000-0002-7127-0281
Alan L ChangDepartment of Pediatrics, Division of Neonatal & Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Ronald J WongDepartment of Pediatrics, Division of Neonatal & Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1205-6936
Jonathan D ReissDepartment of Pediatrics, Division of Neonatal & Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-1460-8570
Brice GaudillièreDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-3475-5706
Karl G SylvesterDepartment of Surgery, Stanford University School of Medicine, Stanford, CA, USA.
Xuefeng B LingDepartment of Pediatrics, Division of Neonatal & Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5386-3884
Martin S AngstDepartment of Anesthesiology, Perioperative and Pain Medicine, Stanford University, School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-1550-8136
Gary M ShawDepartment of Pediatrics, Division of Neonatal & Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Michael KatzDepartment of Pediatrics, Division of Neonatal & Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Nima AghaeepourDepartment of Pediatrics, Division of Neonatal & Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6117-8764
Ivana MarićDepartment of Pediatrics, Division of Neonatal & Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-9441-521X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disease categories traditionally reflect a historical clustering of clinical phenotypes based on biologic and nonbiologic features. Multiomics approaches have striven to identify signatures to develop individualized categorizations through tests and/or therapies for 'personalized' medicine. Precision health classifies clinical syndromes into endotype clusters based on novel technological advancements, which can reveal insights into the etiologies of phenotypical syndromes. A new taxonomy of preterm birth should be considered in this context, as not all preterm infants of similar gestational ages are the same because most have different biologic vulnerabilities and hence different health trajectories. Even the choice of interventions may affect observed clinical conditions. Thus, a new taxonomy of prematurity would help to advance the field of neonatology, but also obstetrics and perinatology by adopting anticipatory and more targeted approaches to the care of preterm infants with the intent of preventing and treating some of the most common newborn pathologic conditions.

Indexed as

Premature BirthFemaleGestational AgeHumansInfant, NewbornInfant, PrematurePhenotypePregnancy

Identifiers

PMID39567650
PMCPMC12367544

What Socratic 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 Socratic graph.