Evidence map›Paper›PMID 32751314›Full record

ArticleInternational journal of environmental research and public health2020

Large for Gestational Age and Risk for Academic Delays and Learning Disabilities: Assessing Modification by Maternal Obesity and Diabetes.

Kathleen O'Connor Duffany, Katharine H McVeigh, Heather S Lipkind, Trace S Kershaw, Jeannette R Ickovics

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 24% 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, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. 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

5 authors at 2 institutions in 2 countries.

Kathleen O'Connor DuffanyDepartment of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT 06410, USA.
Katharine H McVeighDivision of Family and Child Health, New York City Department of Health and Mental Hygiene, New York, NY 10013, USA.
Heather S LipkindDepartment of Obstetrics, Gynecology, and Reproductive Science, Yale University School of Medicine, New Haven, CT 06510, USA.
Trace S KershawDepartment of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT 06410, USA.
Jeannette R IckovicsDepartment of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT 06410, USA.
Yale University · USNew York City Department of Health and Mental Hygiene · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

The objective of this study was to examine academic delays for children born large for gestational age (LGA) and assess effect modification by maternal obesity and diabetes and then to characterize risks for LGA for those with a mediating condition. Cohort data were obtained from the New York City Longitudinal Study of Early Development, linking birth and educational records (

Indexed as

Gestational AgeLearning DisabilitiesBirth WeightBody Mass IndexChildDiabetes, GestationalFemaleFetal MacrosomiaHumansInfantInfant, NewbornLongitudinal StudiesMaleNew York CityObesityPregnancyacademic delaysgestational diabeteslarge for gestational age (LGA)maternal obesityspecial education

Identifiers

PMID32751314
PMCPMC7432935
OpenAlexW3045748940

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.