Evidence map›Paper›PMID 27939425›Full record

ArticleEBioMedicine2017

Postnatal Prediction of Gestational Age Using Newborn Fetal Hemoglobin Levels.

Kumanan Wilson, Steven Hawken, Malia S Q Murphy, Katherine M Atkinson, Beth K Potter, Ann Sprague, Mark Walker, Pranesh Chakraborty, Julian Little

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EBioMedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

9 authors.

Kumanan WilsonClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Institute of Clinical Evaluative Sciences, uOttawa Site, Ottawa, Ontario, Canada.
Steven HawkenClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Institute of Clinical Evaluative Sciences, uOttawa Site, Ottawa, Ontario, Canada; School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Malia S Q MurphyClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Katherine M AtkinsonClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.
Beth K PotterSchool of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Ann SpragueBetter Outcomes Registry & Network, Ottawa, Ontario, Canada.
Mark WalkerClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Better Outcomes Registry & Network, Ottawa, Ontario, Canada; Department of Obstetrics, Gynecology and Newborn Care, The Ottawa Hospital, Ottawa, Ontario, Canada.
Pranesh ChakrabortyBetter Outcomes Registry & Network, Ottawa, Ontario, Canada; Newborn Screening Ontario, Ottawa, Ontario, Canada; Department of Pediatrics, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.
Julian LittleSchool of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn many parts of the developing world procurement of antenatal gestational age estimates is not possible, challenging provision of appropriate perinatal care. This study aimed to develop a model for postnatal gestational age estimation utilizing measures of the newborn hemoglobin levels and other metabolic analyte data derived from newborn blood spot samples.

methodsWe conducted a retrospective cohort analysis of 159,215 infants born January 2012-December 2014 in Ontario, Canada. Multivariable linear and logistic regression analyses were used to evaluate the precision of developed models.

resultsModels derived from a combination of hemoglobin ratios and birthweight were more precise at predicting gestational age (RMSE1·23weeks) than models limited to birthweight (RMSE1·34). Models including birthweight, hemoglobin, TSH and 17-OHP levels were able to accurately estimate gestational age to ±2weeks in 95·3% of the cohort and discriminate ≤34 versus >34 (c-statistic, 0·98). This model also performed well in small for gestational age infants (c-statistic, 0·998). DISCUSSION: The development of a point-of-care mechanism to allow widespread implementation of postnatal gestational age prediction tools that make use of hemoglobin or non-mass spectromietry-derived metabolites could serve areas where antenatal gestational age dating is not routinely available.

Indexed as

Fetal HemoglobinGestational AgeNeonatal ScreeningPopulation SurveillanceBirth WeightFemaleHumansInfant, NewbornModels, StatisticalOntarioPoint-of-Care SystemsPregnancyReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityFetal HemoglobinGestational ageMetabolomicsNewborn screeningPrediction modellingPreterm birth

Identifiers

PMID27939425
PMCPMC5233807

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.