Evidence map›Paper›PMID 40622908›Full record

ArticlePloS one2025

The impact of maternal gum disease on pregnancy outcomes using PRAMS data.

Khadijat Kofoworola Adeleye, Joohyun Chung

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Khadijat Kofoworola AdeleyeElaine Marieb College of Nursing University of Massachusetts Amherst, Amherst, United States of America.ORCID https://orcid.org/0000-0001-7560-5504
Joohyun ChungElaine Marieb College of Nursing University of Massachusetts Amherst, Amherst, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGum disease during pregnancy is not just a dental issue but a significant public health concern with potential implications for maternal and child health. This study aims to estimate the national prevalence of gum disease among pregnant women and examine the association of maternal gum disease during pregnancy and pregnancy outcomes.

methodsA retrospective case-control study used the PRAMS (phase 8, 2016-2020) dataset. Propensity score matching was employed to match cases in a 1:3 ratio. Logistic regression was used to test the associations between maternal gum disease, low birth weight, and small gestational age.

resultsThe study revealed a prevalence rate of 207 cases per 100,000 pregnant women. Notable differences were observed, with higher prevalence rates among younger women (20-24 yrs), racial minorities (Black women), and those with lower educational attainment (9-12 grade, no diploma). Maternal gum disease was associated with an increased risk of small for gestational age (SGA) and falls below the 10th percentile (OR = 2.43, 95% CI: 1.56-3.75, p < 0.001), having babies with birthweight below 2500g are 3.51 times higher (OR = 3.51, 95% CI: 2.39-5.16, p < 0.001) compared to those who do not have gum disease.

conclusionThe complex relationship between maternal oral health and adverse pregnancy outcomes necessitates immediate and comprehensive research to understand and address this issue, highlighting the immediate need for action to prevent potential health risks.

Indexed as

Pregnancy ComplicationsPregnancy OutcomeAdultCase-Control StudiesFemaleHumansInfant, Low Birth WeightInfant, NewbornInfant, Small for Gestational AgePregnancyPrevalenceRetrospective StudiesYoung Adult

Identifiers

PMID40622908
PMCPMC12233243

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.