Evidence map›Paper›PMID 26746435›Full record

ArticleJAMA pediatrics2016

Examining Infertility Treatment and Early Childhood Development in the Upstate KIDS Study.

Edwina H Yeung, Rajeshwari Sundaram, Erin M Bell, Charlotte Druschel, Christopher Kus, Akhgar Ghassabian, Scott Bello, Yunlong Xie, Germaine M Buck Louis

Registry-linked trialAbstract read
In one paragraph

Article in JAMA pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03106493 (Upstate New York Infant Development Screening Program), which is not on this map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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.

NCT03106493 completednot on this map

Upstate New York Infant Development Screening Program

TypeobservationalSponsorEunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)Ran2008 to 2019Enrolled6,171ConditionsObesity, Blood Pressure, Motor Delay, Developmental DelayArmsNone (observational)
3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Neighborhood opportunity and residential instability: associations with mental health in middle childhood.Journal of child psychology and psychiatry, and allied disciplines · 2025
    Article
  6. Cohort Profile: Upstate KIDS study.International journal of epidemiology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. A Critical Review of Statistical Methods for Twin Studies Relating Exposure to Early Life Health Conditions.International journal of environmental research and public health · 2021
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Edwina H YeungDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Rajeshwari SundaramDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Erin M BellDepartment of Environmental Health Sciences, University at Albany School of Public Health, Albany, New York3Department of Epidemiology and Biostatistics, University at Albany School of Public Health, Albany, New York.
Charlotte DruschelDepartment of Environmental Health Sciences, University at Albany School of Public Health, Albany, New York4Bureau of Environmental and Occupational Epidemiology, Center for Environmental Health, New York State Department of Health, Albany.
Christopher KusDivision of Family Health, New York State Department of Health, Albany.
Akhgar GhassabianDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Scott BelloDevelopmental Pediatrics, CapitalCare Pediatrics-Troy, Troy, New York.
Yunlong XieDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Germaine M Buck LouisDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.

Funding

Infertility Treatment, Child Growth and Development Through Age Three YearsZIAHD008826 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YEUNG, EDWINA · 2009 to 2025
$9.4M
Intramural NIH HHSNICHD NIH HHS HHSN267200700019CNICHD NIH HHS HHSN275201200005CPHS HHS HHSN267200700019CPHS HHS HHSN275201200005C
6 · The paper itself

Abstract

importanceAn increasing percentage of births are conceived with assisted reproductive technology (ART) and other infertility treatment. Despite findings that such treatments may be associated with diminished gestation and birth size, scarce data exist regarding infertility treatments and children's development in the United States.

objectiveTo assess the use and type of infertility treatment in relation to children's development through age 36 months. DESIGN, SETTING, AND

participantsProspective cohort study (conducted 2008-2014) that sampled based on infertility treatment and plurality. Included in the study were infants born between 2008 and 2010 in New York state (excluding New York City) whose parents completed developmental screening instruments through 36 months of age. A total of 4824 mothers (97% of 4989) completed 1 or more developmental screening instruments for 5841 children, including 1830 conceived with infertility treatment and 2074 twins. EXPOSURES: Maternal self-report of any infertility treatment was further categorized into ART and ovulation induction/intrauterine insemination. Assisted reproductive technology use was previously validated by linkage with the Society for Assisted Reproductive Technology-Clinical Outcome Reporting System. MAIN OUTCOMES AND MEASURES: Five developmental domains (fine motor, gross motor, communication, personal-social functioning, and problem-solving ability), as measured by the parental completion of the Ages and Stages Questionnaires at 4, 8, 12, 18, 24, 30, and 36 months of age. Generalized linear mixed modeling techniques estimated adjusted odds ratios (aORs) and 95% CIs for use and type of infertility treatment in relation to failing a developmental domain. Data were stratified by plurality and weighted for the sampling scheme.

resultsThere were 1422 mothers (29.5%; mean [SD], age, 34.1 [5.2] years) who underwent infertility treatment. Infertility treatment was not associated with risk of their children failing any developmental domain (aOR, 1.33; 95% CI, 0.94-1.89). Assisted reproductive technology was associated with increased risk for failing any developmental domain but only when singletons and twins were evaluated together (aOR, 1.81; 95% CI, 1.21-2.72). Adjustment for birth weight further attenuated this estimate (aOR, 1.26; 95% CI, 0.82-1.93). After stratifying by plurality, type of treatment also was not significantly associated with failing any developmental domain for ovulation induction/intrauterine insemination (aOR, 1.00; 95% CI, 0.57-1.77 for singletons and aOR, 1.30; 95% CI, 0.76-2.21 for twins) or ART (aOR, 1.38; 95% CI, 0.78-2.43 for singletons and aOR, 1.58; 95% CI, 0.94-2.65 for twins). CONCLUSIONS AND RELEVANCE: After considering plurality, children's development through age 3 years was similar irrespective of infertility treatment or specific type. To our knowledge, these findings are among the first to focus on non-ART treatments in the United States.

Indexed as

Child DevelopmentChild, PreschoolDevelopmental DisabilitiesFemaleFollow-Up StudiesHumansInfantInfant, NewbornInfertility, FemaleLinear ModelsMaleNew YorkProspective StudiesReproductive Techniques, AssistedSelf ReportUnited States

Identifiers

PMID26746435
PMCPMC5000851

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.