Evidence map›Paper›PMID 34416423›Full record

ArticleAmerican journal of obstetrics & gynecology MFM2021

Developmental outcomes in small-for-gestational age twins using a singleton vs twin birthweight reference.

Jessica L Gleason, Edwina Yeung, Rajeshwari Sundaram, Pauline Mendola, Erin M Bell, Yassaman Vafai, Sonia L Robinson, Diane L Putnick, Katherine L Grantz

Open access · greenAbstract read
In one paragraph

Article in American journal of obstetrics & gynecology MFM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Jessica L GleasonEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (Drs Gleason, Yeung, Mendola, Vafai, Robinson, Putnick, and Grantz).
Edwina YeungEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (Drs Gleason, Yeung, Mendola, Vafai, Robinson, Putnick, and Grantz).
Rajeshwari SundaramBiostatistics Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (Dr Sundaram).
Pauline MendolaEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (Drs Gleason, Yeung, Mendola, Vafai, Robinson, Putnick, and Grantz).
Erin M BellDepartments of Environmental Health Sciences and Epidemiology and Biostatistics, School of Public Health, University at Albany, Rensselaer, NY (Dr Bell).
Yassaman VafaiEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (Drs Gleason, Yeung, Mendola, Vafai, Robinson, Putnick, and Grantz).
Sonia L RobinsonEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (Drs Gleason, Yeung, Mendola, Vafai, Robinson, Putnick, and Grantz).
Diane L PutnickEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (Drs Gleason, Yeung, Mendola, Vafai, Robinson, Putnick, and Grantz).
Katherine L GrantzEpidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD (Drs Gleason, Yeung, Mendola, Vafai, Robinson, Putnick, and Grantz). Electronic address: katherine.grantz@nih.gov.
Gleason (United States) · USEunice Kennedy Shriver Center · USUniversity at Albany, State University of New York · US

Funding

NICHD NIH HHS HHSN267200700019CNICHD NIH HHS HHSN275201200005C
6 · The paper itself

Abstract

backgroundLimited data exist about the potential developmental delays in appropriately grown twins; furthermore, twins may be at higher risk of developmental delay than singletons. Small-for-gestational age is a risk factor for developmental delay and is based on singleton birthweight references, which may misclassify small-for-gestational age in a subset of appropriately grown twins.

objectiveThis study aimed to evaluate the risk of developmental delay in twins classified as small-for-gestational age according to the twin and singleton birthweight references (<10th percentile). STUDY

designIn a birth cohort (2008-2010) of twins (n=1790) and singletons (n=3829) where parents completed Ages & Stages Questionnaires for child development between 4 and 36 months, we used a US population-based birthweight reference to categorize singletons and twins as small-for-gestational age. Uncertain small-for-gestational age twins were defined as small-for-gestational age by a singleton reference (<10th percentile) and not by a twin reference, and twin-reference small-for-gestational age twins were defined as small-for-gestational age by a twin reference. Adjusted generalized linear mixed-effects models were used to estimate the odds of failure on any Ages & Stages Questionnaires domain and on each of the 5 domains (fine motor, gross motor, communication, personal-social, and problem-solving domains); random intercepts accounted for repeated measures and twin clustering.

resultsCompared with non-small-for-gestational age twins (>10th percentile), uncertain small-for-gestational age twins did not have higher odds of Ages & Stages Questionnaires failure (adjusted odds ratio, 1.28; 95% confidence interval, 0.91-1.80). Compared with non-small-for-gestational age singletons, both twin-reference and uncertain small-for-gestational age twins had higher odds of Ages & Stages Questionnaires failure, with the highest risk conferred to twin-reference small-for-gestational age twins (twin-reference adjusted odds ratio, 3.14 [95% confidence interval, 1.94-5.10]; uncertain adjusted odds ratio, 2.35 [95% confidence interval, 1.69-3.26]; P<.01 for trend). Results remained consistent when limiting analyses to term births (≥37 weeks' gestation).

conclusionAlthough a singleton reference may overestimate small-for-gestational age in twins, the findings indicated that a singleton birthweight reference may be appropriate for twins because it identifies more twins at risk of developmental delay than a twin reference.

Indexed as

Pregnancy, TwinTwinsBirth WeightChild, PreschoolGestational AgeHumansInfantInfant, NewbornRetrospective Studiesbirthweight referencedevelopmental delaysmall-for-gestational agetwins

Identifiers

PMID34416423
PMCPMC8630670
OpenAlexW3195935168

What OpenQuestion holds

Textmetadata
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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.