Evidence map›Paper›PMID 40201759›Full record

ArticleObesity science & practice2025

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

Jacqueline F Hayes, Suzanne Phelan, Elissa Jelalian, Aaron B Caughey, Kristin Castorino, Casey Heaney, Angelica Mchugh, Rena R Wing

Abstract read
In one paragraph

Article in Obesity science & practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. Review
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.

Jacqueline F HayesDepartment of Psychiatry and Human Behavior Alpert Medical School of Brown University Providence Rhode Island USA.ORCID https://orcid.org/0000-0002-6241-1839
Suzanne PhelanDepartment of Kinesiology & Public Health Center for Health Research California Polytechnic State University San Luis Obispo California USA.
Elissa JelalianDepartment of Psychiatry and Human Behavior Alpert Medical School of Brown University Providence Rhode Island USA.
Aaron B CaugheyDepartment of Obstetrics and Gynecology Oregon Health & Science University Portland Oregon USA.
Kristin CastorinoSansum Diabetes Research Institute Santa Barbara California USA.
Casey HeaneyDepartment of Kinesiology & Public Health Center for Health Research California Polytechnic State University San Luis Obispo California USA.
Angelica MchughWeight Control and Diabetes Research Center The Miriam Hospital Providence Rhode Island USA.
Rena R WingDepartment of Psychiatry and Human Behavior Alpert Medical School of Brown University Providence Rhode Island USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Predicting pregnancy is a challenge in preconception weight loss intervention trials. The current study examined whether self-reported pregnancy likelihood and timing were predictive of conception. Methods: Adults ( Results: Over the 4-year trial, 62 (30%) participants became pregnant. Participants who reported a high likelihood of pregnancy were more likely to conceive than those with a lower rating (45.7% vs. 21.1%). The sensitivity and specificity of a high likelihood rating predicting conception were 69%, 95% CI (56.2%, 80.1%), and 58%, 95% CI (48.9%, 67.0%), respectively. Among those who conceived, mean expected time to pregnancy was 21.6 ± 13.2 months while actual mean time was 11.3 ± 9.1 months. Baseline age, ethnicity, parity, BMI, income, and other demographics did not predict conception. Conclusions: 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.

Indexed as

gestational diabetesmeasurement/assessmentpre‐conception behavioral weight losspregnancy likelihood

Identifiers

PMID40201759
PMCPMC11975599

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.