Evidence map›Paper›PMID 34897472›Full record

ArticleThe Journal of clinical endocrinology and metabolism2022

A Maternal Serum Metabolite Ratio Predicts Large for Gestational Age Infants at Term: A Prospective Cohort Study.

Ulla Sovio, Neil Goulding, Nancy McBride, Emma Cook, Francesca Gaccioli, D Stephen Charnock-Jones, Deborah A Lawlor, Gordon C S Smith

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 27% of its field
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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Ulla SovioDepartment of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK.ORCID 0000-0002-0799-1105
Neil GouldingNIHR Bristol Biomedical Research Centre, Bristol, UK.ORCID 0000-0002-2488-4598
Nancy McBrideNIHR Bristol Biomedical Research Centre, Bristol, UK.ORCID 0000-0003-4439-4710
Emma CookDepartment of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK.ORCID 0000-0002-6142-4443
Francesca GaccioliDepartment of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK.ORCID 0000-0001-7178-8921
D Stephen Charnock-JonesDepartment of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK.ORCID 0000-0002-2936-4890
Deborah A LawlorNIHR Bristol Biomedical Research Centre, Bristol, UK.ORCID 0000-0002-6793-2262
Gordon C S SmithDepartment of Obstetrics and Gynaecology, University of Cambridge; NIHR Cambridge Biomedical Research Centre, Cambridge, UK.ORCID 0000-0003-2124-0997
University of Cambridge · GBAt Bristol · GB

Funding

British Heart Foundation CS/16/4/32482Department of Health NF-SI-0611-10196European Research Council 669545Medical Research Council 1100221Medical Research Council G1100221Medical Research Council MC_PC_21038Medical Research Council MC_UU_00011/6Medical Research Council MR/N024397/1NIH HHS R01 DK10324Wellcome Trust WT101597MA
6 · The paper itself

Abstract

contextExcessive birth weight is associated with maternal and neonatal complications. However, ultrasonically estimated large for gestational age (LGA; >90th percentile) predicts these complications poorly.

objectiveTo determine whether a maternal serum metabolite ratio developed for fetal growth restriction (FGR) is predictive of birth weight across the whole range, including LGA at birth.

methodsMetabolites were measured using ultrahigh performance liquid chromatography-tandem mass spectroscopy. The 4-metabolite ratio was previously derived from an analysis of FGR cases and a random subcohort from the Pregnancy Outcome Prediction study. Here, we evaluated its relationship at 36 weeks of gestational age (wkGA) with birth weight in the subcohort (n = 281). External validation in the Born in Bradford (BiB) study (n = 2366) used the metabolite ratio at 24 to 28 wkGA.

resultsThe inverse of the metabolite ratio at 36 wkGA predicted LGA at term [the area under the receiver operating characteristic curve (AUROCC) = 0.82, 95% CI 0.73 to 0.91, P = 6.7 × 10-5]. The ratio was also inversely associated with birth weight z score (linear regression, beta = -0.29 SD, P = 2.1 × 10-8). Analysis in the BiB cohort confirmed that the ratio at 24 to 28 wkGA predicted LGA (AUROCC = 0.60, 95% CI 0.54 to 0.67, P = 8.6 × 10-5) and was inversely associated with birth weight z score (beta = -0.12 SD, P = 1.3 × 10-9).

conclusionsA metabolite ratio which is strongly predictive of FGR is equally predictive of LGA birth weight and is inversely associated with birth weight across the whole range.

Indexed as

Fetal Growth RetardationPregnancy OutcomeBirth WeightCohort StudiesFemaleFetal MacrosomiaGestational AgeHumansInfant, NewbornPregnancyProspective Studieslarge for gestational agemacrosomiametabolomicspredictionpregnancy

Identifiers

PMID34897472
PMCPMC8947792
OpenAlexW4200277549

What OpenQuestion holds

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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.