Evidence map›Paper›PMID 42828688›Full record

ArticleMaternal and child health journal2026

Evaluating Weight and Body Mass Index Changes in Women Conceiving with Assisted Reproductive Technologies in Consecutive Pregnancies: A Retrospective Cohort Study.

Alexa M Sassin, Haleh Sangi-Haghpeykar, Kjersti M Aagaard

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Article in Maternal and child health journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Alexa M SassinDepartment of Obstetrics and Gynecology, Baylor College of Medicine, One Baylor Plaza, Jesse H. Jones Hall, Room 314C, Houston, TX, 77030, USA. sassinalexa@gmail.com.ORCID http://orcid.org/0000-0002-3457-5318
Haleh Sangi-HaghpeykarDepartment of Obstetrics and Gynecology, Baylor College of Medicine, One Baylor Plaza, Jesse H. Jones Hall, Room 314C, Houston, TX, 77030, USA.
Kjersti M AagaardDepartment of Obstetrics and Gynecology, Baylor College of Medicine, One Baylor Plaza, Jesse H. Jones Hall, Room 314C, Houston, TX, 77030, USA.

Funding

National Institute of Child Health and Human Development Women's Reproductive Health Research [WRHR] K12 HD 103087
6 · The paper itself

Abstract

objectivesThe amount of weight gained during pregnancy can have immediate and long-term effects on the future health of the pregnant person and their offspring. However, longitudinal prospective datasets that allow for interrogation of pre-pregnancy (PP) weight, gestational weight gain (GWG), and weight at time of delivery (DL) over multiple pregnancies are sparse. We sought to examine how these variables vary from pregnancy to pregnancy in women who have conceived more than once with assisted reproductive technologies (ART).

methodsFor this retrospective cohort study, we used a longitudinal, prospectively-acquired delivery database from a 2-hospital, single academic institution in Houston, Texas. Women who conceived via ART with 2 subsequent deliveries were identified (n = 109, 218 deliveries). Maternal PP and DL weight & PP and DL BMI were identified. GWG was calculated and used to determine whether parturients achieved the recommended GWG.

resultsThere was a significant difference in PP weight (kgs) from the first (P1) (66.79 ± 1.68) to the second ART pregnancy (P2) (68.25 ± 1.68) (p = 0.015) as well as a difference in DL weight from P1 (79.88 ± 1.64) to P2 (81.13 ± 1.64) (p = 0.009). Additionally, we found a significant difference in PP BMI (kg/m DISCUSSION: Participant PP weight, PP BMI, and DL weight increased from P1 to P2 while the overall rates of achieving the recommended GWG did not. Future prospective studies are needed to determine whether prevention of interpregnancy weight gain and optimization of GWG in ART patients are associated with improved maternal and neonatal outcomes.

Indexed as

Assisted reproductive technologyBody mass indexInterpregnancy weight gainPre-conception; Gestational weight gain

Identifiers

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Registered trials

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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.