Evidence map›Paper›PMID 26908668›Full record

ArticlePediatrics2016

Assisted Reproductive Technology and Early Intervention Program Enrollment.

Hafsatou Diop, Daksha Gopal, Howard Cabral, Candice Belanoff, Eugene R Declercq, Milton Kotelchuck, Barbara Luke, Judy E Stern

Open access · bronzeAbstract read
In one paragraph

Article in Pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Length of stay and cost of birth hospitalization: effects of subfertility and ART.Journal of perinatology : official journal of the California Perinatal Association · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Is the wrong question being asked in infertility research?Journal of assisted reproduction and genetics · 2016
    Article
  11. Article
  12. 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

8 authors at 5 institutions in 1 country.

Hafsatou DiopMassachusetts Department of Public Health, Boston, Massachusetts; hafsatou.diop@state.ma.us.
Daksha GopalCommunity Health Sciences, Boston University School of Public Health, Boston, Massachusetts;
Howard CabralDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts;
Candice BelanoffCommunity Health Sciences, Boston University School of Public Health, Boston, Massachusetts;
Eugene R DeclercqCommunity Health Sciences, Boston University School of Public Health, Boston, Massachusetts;
Milton KotelchuckCenter for Child and Adolescent Health Research and Policy, Massachusetts General Hospital for Children and Harvard Medical School, Boston, Massachusetts;
Barbara LukeDepartment of Obstetrics, Gynecology, and Reproductive Biology, Michigan State University, East Lansing, Michigan; and.
Judy E SternDepartment of Obstetrics and Gynecology and Pathology, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire.
Boston University · USBoston Children's Hospital · USDartmouth College · USMassachusetts Department of Public Health · USMichigan State University · US

Funding

Women's Health After Assisted Reproductive Technology: A Population-Based StudyR01HD067270 · NICHD · DARTMOUTH-HITCHCOCK CLINIC · PI DIOP, HAFSATOU, STERN, JUDY E · 2011 to 2020
$7.4M
Child Health After Assisted Reproductive Technology: A Population-Based StudyR01HD064595 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI DECLERCQ, EUGENE R, DIOP, HAFSATOU · 2010 to 2014
$3.1M
NICHD NIH HHS R01 HD064595NICHD NIH HHS R01 HD067270
6 · The paper itself

Abstract

objectivesWe examined the prevalence of Early Intervention (EI) enrollment in Massachusetts comparing singleton children conceived via assisted reproductive technology (ART), children born to mothers with indicators of subfertility but no ART (Subfertile), and children born to mothers who had no indicators of subfertility and conceived naturally (Fertile). We assessed the natural direct effect (NDE), the natural indirect effect (NIE) through preterm birth, and the total effect of ART and subfertility on EI enrollment.

methodsWe examined maternal and infant characteristics among singleton ART (n = 6447), Subfertile (n = 5515), and Fertile (n = 306,343) groups and characteristics associated with EI enrollment includingpreterm birth using χ(2) statistics (α = 0.05). We estimated the NDE and NIE of the ART-EI enrollment relationship by fitting a model for enrollment, conditional on ART, preterm and the ART-preterm delivery interaction, and covariates. Similar analyses were conducted by using Subfertile as the exposure.

resultsThe NDE indicated that the odds of EI enrollment were 27% higher among the ART group (odds ratioNDE = 1.27; 95% confidence interval (CI): 1.19 ̶ 1.36) and 20% higher among the Subfertilegroup (odds ratioNDE = 1.20; 95% CI: 1.12 ̶ 1.29) compared with the Fertile group, even if the rate of preterm birth is held constant.

conclusionsSingleton children conceived through ART and children of subfertile mothers both have elevated risks of EI enrollment. These findings have implications for clinical providers as they counsel women about child health outcomes associated with ART or subfertility.

Indexed as

Developmental DisabilitiesEarly Intervention, EducationalFertilityReproductive Techniques, AssistedAdultChild DevelopmentChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMassachusettsMiddle AgedPregnancyPremature Birth

Identifiers

PMID26908668
PMCPMC4766754
OpenAlexW2326135978

What OpenQuestion holds

Textmetadata
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.