Evidence map›Paper›PMID 37892375›Full record

ArticleChildren (Basel, Switzerland)2023

Opportunities and Challenges of Prognostic Models for Extremely Preterm Infants.

Angret de Boer, Pauline E van Beek, Peter Andriessen, Floris Groenendaal, Marije Hogeveen, Julia S Meijer, Sylvia A Obermann-Borst, Wes Onland, Liesbeth H C J Scheepers, Marijn J Vermeulen and 3 more

Abstract read
In one paragraph

Article in Children (Basel, Switzerland), 2023. 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

13 authors.

Angret de BoerDepartment of Neonatology, Amalia Children's Hospital, Radboud University Medical Center, Geert Grooteplein Zuid 32, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0002-8281-5873
Pauline E van BeekDepartment of Neonatology, Amalia Children's Hospital, Radboud University Medical Center, Geert Grooteplein Zuid 32, 6525 GA Nijmegen, The Netherlands.
Peter AndriessenDepartment of Neonatology, Máxima Medical Center, 5504 DB Veldhoven, The Netherlands.ORCID 0000-0002-5159-6874
Floris GroenendaalDepartment of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, 3584 EA Utrecht, The Netherlands.
Marije HogeveenDepartment of Neonatology, Amalia Children's Hospital, Radboud University Medical Center, Geert Grooteplein Zuid 32, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0002-2562-7606
Julia S MeijerDepartment of Neonatology, Máxima Medical Center, 5504 DB Veldhoven, The Netherlands.ORCID 0009-0003-1734-5769
Sylvia A Obermann-BorstCare4Neo, Dutch Neonatal Patient and Parent Advocacy Organization, 3068 JN Rotterdam, The Netherlands.ORCID 0009-0004-8886-6892
Wes OnlandDepartment of Neonatology, Emma Children's Hospital, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands.ORCID 0000-0002-9623-0606
Liesbeth H C J ScheepersDepartment of Obstetrics and Gynecology, Maastricht University Medical Centre, 6229 HX Maastricht, The Netherlands.
Marijn J VermeulenCare4Neo, Dutch Neonatal Patient and Parent Advocacy Organization, 3068 JN Rotterdam, The Netherlands.ORCID 0000-0001-9686-8186
E J T Joanne VerweijDepartment of Obstetrics and Gynecology, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-9343-9957
Lien De ProostDepartment of Ethics and Law, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands.ORCID 0000-0003-0983-8865
Rosa GeurtzenDepartment of Neonatology, Amalia Children's Hospital, Radboud University Medical Center, Geert Grooteplein Zuid 32, 6525 GA Nijmegen, The Netherlands.ORCID 0000-0002-5640-6160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting the short- and long-term outcomes of extremely preterm infants remains a challenge. Multivariable prognostic models might be valuable tools for clinicians, parents, and policymakers for providing accurate outcome estimates. In this perspective, we discuss the opportunities and challenges of using prognostic models in extremely preterm infants at population and individual levels. At a population level, these models could support the development of guidelines for decisions about treatment limits and may support policy processes such as benchmarking and resource allocation. At an individual level, these models may enhance prenatal counselling conversations by considering multiple variables and improving transparency about expected outcomes. Furthermore, they may improve consistency in projections shared with parents. For the development of prognostic models, we discuss important considerations such as predictor and outcome measure selection, clinical impact assessment, and generalizability. Lastly, future recommendations for developing and using prognostic models are suggested. Importantly, the purpose of a prognostic model should be clearly defined, and integrating these models into prenatal counselling requires thoughtful consideration.

Indexed as

decision makingextremely preterm infantprognostic models

Identifiers

PMID37892375
PMCPMC10605480

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Registered trials

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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.