Predicting Pregnancy in Preconception Weight Loss Trials: Is it Possible?

Pregnancy likelihood estimates best predicted conception, but sensitivity and specificity were low. Future work may consider additional ways to screen for likelihood of conception in preconception trials.

Authors

Institutions

Publication Details

Journal
Obesity Science & Practice
Published
2025-04-01
DOI
https://doi.org/10.1002/osp4.70060
Citations
1
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
2.06

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting Pregnancy in Preconception Weight Loss Trials: Is it Possible?

Aaron B. Caughey, Elissa Jelalian, Angelica McHugh, Kristin Castorino et al.
1 citations
Obesity Science & Practice
Gestational Diabetes Research and Management
2.06
article

Predicting Pregnancy in Preconception Weight Loss Trials: Is it Possible?

Aaron B. Caughey, Elissa Jelalian, Angelica McHugh, Kristin Castorino, Casey Heaney, Jacqueline F. Hayes, Suzanne Phelan, Rena R. Wing
article en
1 citations

Abstract

Pregnancy likelihood estimates best predicted conception, but sensitivity and specificity were low. Future work may consider additional ways to screen for likelihood of conception in preconception trials.

Obesity Science & PracticeVol. 11(2)
California Polytechnic State University (US), Oregon Health & Science University (US), Brown University (US), Miriam Hospital (US), Sansum Diabetes Research Institute (US)
National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development
No poverty
Openalex Percentile: Top 17%
Gestational Diabetes Research and Management
2.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Predicting Pregnancy in Preconception Weight Loss Trials: Is it Possible? — Aaron B. Caughey, Elissa Jelalian, et al. · Obesity Science & Practice (2025) | TGRS Research Map | TGRS