Evidence map›Paper›PMID 37663045›Full record

ArticleBMJ medicine2023

Association between perinatal mortality and morbidity and customised and non-customised birthweight centiles in Denmark, Finland, Norway, Wales, and England: comparative, population based, record linkage study.

Fanny Kilpi, Hayley E Jones, Maria Christine Magnus, Gillian Santorelli, Lise Kristine Højsgaard Schmidt, Stine Kjaer Urhoj, Scott M Nelson, Derek Tuffnell, Robert French, Per Minor Magnus and 4 more

Abstract read
In one paragraph

Article in BMJ medicine, 2023. 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

14 authors.

Fanny KilpiMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID 0000-0002-3551-2829
Hayley E JonesPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Maria Christine MagnusMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Gillian SantorelliBradford Institute for Health Research, Bradford, UK.ORCID 0000-0003-0427-1783
Lise Kristine Højsgaard SchmidtDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Stine Kjaer UrhojDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-2069-9723
Scott M NelsonSchool of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK.ORCID 0000-0002-9099-3047
Derek TuffnellBradford Institute for Health Research, Bradford, UK.
Robert FrenchCardiff University School of Medicine, Cardiff, UK.ORCID 0000-0002-9064-9721
Per Minor MagnusCentre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.
Anne-Marie Nybo AndersenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-4296-8488
Pekka MartikainenPopulation Research Unit, University of Helsinki Faculty of Social Sciences, Helsinki, Uusimaa, Finland.ORCID 0000-0001-9374-1438
Kate TillingMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Deborah A LawlorMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID 0000-0002-6793-2262

Funding

Medical Research Council MC_UU_00011/3Medical Research Council MC_UU_00011/6Medical Research Council MR/T044594/1
6 · The paper itself

Abstract

Objectives: To compare the risk of adverse perinatal outcomes according to infants who are born small for gestational age (SGA; <10th centile) or large for gestational age (LGA; >90th centile), as defined by birthweight centiles that are non-customised (ie, standardised by sex and gestational age only) and customised (by sex, gestational age, maternal weight, height, parity, and ethnic group). Design: Comparative, population based, record linkage study with meta-analysis of results. Setting: Denmark, Finland, Norway, Wales, and England (city of Bradford), 1986-2019. Participants: 2 129 782 infants born at term in birth registries. Main outcome measures: Stillbirth, neonatal death, infant death, admission to neonatal intensive care unit, and low Apgar score (<7) at 5 minutes. Results: Relative to those infants born average for gestational age (AGA), both SGA and LGA births were at increased risk of all five outcomes, but observed relative risks were similar irrespective of whether non-customised or customised charts were used. For example, for SGA versus AGA births, when non-customised and customised charts were used, relative risks pooled over countries were 3.60 (95% confidence interval 3.29 to 3.93) versus 3.58 (3.02 to 4.24) for stillbirth, 2.83 (2.18 to 3.67) versus 3.32 (2.05 to 5.36) for neonatal death, 2.82 (2.07 to 3.83) versus 3.17 (2.20 to 4.56) for infant death, 1.66 (1.49 to 1.86) versus 1.54 (1.30 to 1.81) for low Apgar score at 5 minutes, and (based on Bradford data only) 1.97 (1.74 to 2.22) versus 1.94 (1.70 to 2.21) for admission to the neonatal intensive care unit. The estimated sensitivity of combined SGA or LGA births to identify the three mortality outcomes ranged from 31% to 34% for non-customised charts and from 34% to 38% for customised charts, with a specificity of 82% and 80% with non-customised and customised charts, respectively. Conclusions: These results suggest an increased risk of adverse perinatal outcomes of a similar magnitude among SGA or LGA term infants when customised and non-customised centiles are used. Use of customised charts for SGA/LGA births-over and above use of non-customised charts for SGA/LGA births-is unlikely to provide benefits in terms of identifying term births at risk of these outcomes.

Indexed as

neonatologyobstetricsperinatology

Identifiers

PMID37663045
PMCPMC10471867

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.