Evidence map›Paper›PMID 38519895›Full record

ArticleBMC public health2024

Pregnancy health in a multi-state U.S. population of systemically underserved patients and their children: PROMISE cohort design and baseline characteristics.

Janne Boone-Heinonen, Kristin Lyon-Scott, Rachel Springer, Teresa Schmidt, Kimberly K Vesco, Anna Booman, Dang Dinh, Stephen P Fortmann, Byron A Foster, Jenny Hauschildt and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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

16 authors at 3 institutions in 1 country.

Janne Boone-HeinonenOHSU-PSU School of Public Health, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd. Mail code: VPT, Portland, OR, USA. boonej@ohsu.edu.
Kristin Lyon-ScottOCHIN, Inc., Portland, OR, 1881 SW Naito Pkwy, USA.
Rachel SpringerOHSU School of Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, USA.
Teresa SchmidtOCHIN, Inc., Portland, OR, 1881 SW Naito Pkwy, USA.
Kimberly K VescoKaiser Permanente Center for Health Research, 3800 N Interstate Ave, Portland, OR, USA.
Anna BoomanOHSU-PSU School of Public Health, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd. Mail code: VPT, Portland, OR, USA.
Dang DinhOHSU School of Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, USA.
Stephen P FortmannKaiser Permanente Center for Health Research, 3800 N Interstate Ave, Portland, OR, USA.
Byron A FosterOHSU School of Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, USA.
Jenny HauschildtOCHIN, Inc., Portland, OR, 1881 SW Naito Pkwy, USA.
Shuling LiuOHSU School of Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, USA.
Jean O'MalleyOHSU School of Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, USA.
Amy PalmaOHSU-PSU School of Public Health, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd. Mail code: VPT, Portland, OR, USA.
Jonathan M SnowdenOHSU School of Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd, Portland, OR, USA.
Kalera StrattonOHSU-PSU School of Public Health, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd. Mail code: VPT, Portland, OR, USA.
Sarah TranOHSU-PSU School of Public Health, Oregon Health & Science University, 3181 SW Sam Jackson Park Rd. Mail code: VPT, Portland, OR, USA.
Oregon Health & Science University · USOchin · USKaiser Permanente Center for Health Research · US

Funding

PROMISE: PReventing Obesity through healthy Maternal gestational weight gain In the Safety nEtR01DK118484 · NIDDK · OREGON HEALTH & SCIENCE UNIVERSITY · PI BOONE-HEINONEN, JANNE, SNOWDEN, JONATHAN M · 2020 to 2024
$3.1M
NIDDK NIH HHS R01 DK118484NIH HHS 1R01DK118484-01A1
6 · The paper itself

Abstract

backgroundGestational weight gain (GWG) is a routinely monitored aspect of pregnancy health, yet critical gaps remain about optimal GWG in pregnant people from socially marginalized groups, or with pre-pregnancy body mass index (BMI) in the lower or upper extremes. The PROMISE study aims to determine overall and trimester-specific GWG associated with the lowest risk of adverse birth outcomes and detrimental infant and child growth in these underrepresented subgroups. This paper presents methods used to construct the PROMISE cohort using electronic health record data from a network of community-based healthcare organizations and characterize the cohort with respect to baseline characteristics, longitudinal data availability, and GWG.

methodsWe developed an algorithm to identify and date pregnancies based on outpatient clinical data for patients 15 years or older. The cohort included pregnancies delivered in 2005-2020 with gestational age between 20 weeks, 0 days and 42 weeks, 6 days; and with known height and adequate weight measures needed to examine GWG patterns. We linked offspring data from birth records and clinical records. We defined study variables with attention to timing relative to pregnancy and clinical data collection processes. Descriptive analyses characterize the sociodemographic, baseline, and longitudinal data characteristics of the cohort, overall and within BMI categories.

resultsThe cohort includes 77,599 pregnancies: 53% had incomes below the federal poverty level, 82% had public insurance, and the largest race and ethnicity groups were Hispanic (56%), non-Hispanic White (23%) and non-Hispanic Black (12%). Pre-pregnancy BMI groups included 2% underweight, 34% normal weight, 31% overweight, and 19%, 8%, and 5% Class I, II, and III obesity. Longitudinal data enable the calculation of trimester-specific GWG; e.g., a median of 2, 4, and 6 valid weight measures were available in the first, second, and third trimesters, respectively. Weekly rate of GWG was 0.00, 0.46, and 0.51 kg per week in the first, second, and third trimesters; differences in GWG between BMI groups were greatest in the second trimester.

conclusionsThe PROMISE cohort enables characterization of GWG patterns and estimation of effects on child growth in underrepresented subgroups, ultimately improving the representativeness of GWG evidence and corresponding guidelines.

Indexed as

Gestational Weight GainPregnancy ComplicationsBody Mass IndexChildFemaleHumansInfant, NewbornObesityOverweightPregnancyPregnancy OutcomePregnancy Trimester, ThirdVulnerable PopulationsBody Mass IndexChildElectronic Health RecordsGestational weight gainPregnancyRetrospective cohort study

Identifiers

PMID38519895
PMCPMC10960496
OpenAlexW4393117997

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.