Evidence map›Paper›PMID 32499261›Full record

ArticleBMJ open2020

Maternal cardiovascular disease risk factors as predictors of preterm birth in California: a case-control study.

Anne B Rohlfing, Gregory Nah, Kelli K Ryckman, Brittney D Snyder, Deborah Kasarek, Randi A Paynter, Sky K Feuer, Laura Jelliffe-Pawlowski, Nisha I Parikh

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Spontaneous Preterm Birth: a Fetal-Maternal Metabolic Imbalance.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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

9 authors at 3 institutions in 3 countries.

Anne B RohlfingDivision of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0001-9784-4223
Gregory NahDivision of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
Kelli K RyckmanEpidemiology, University of Iowa, Iowa City, Iowa, USA.
Brittney D SnyderMedicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Deborah KasarekDivision of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
Randi A PaynterPreterm Birth Initiative, University of California San Francisco, San Francisco, California, USA.
Sky K FeuerObstetrics and Gynecology, University of California San Francisco, San Francisco, California, USA.
Laura Jelliffe-PawlowskiDivision of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, California, USA.
Nisha I ParikhCardiology, University of California San Francisco, San Francisco, California, USA nisha.parikh@ucsf.edu.
University of California, San Francisco · USUniversity of Iowa · USVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine whether maternal cardiovascular disease (CVD) risk factors predict preterm birth.

designCase control.

settingCalifornia hospitals.

participants868 mothers with linked demographic information and biospecimens who delivered singleton births from July 2009 to December 2010.

methodsLogistic regression analysis was employed to calculate odds ratios for the associations between maternal CVD risk factors before and during pregnancy (including diabetes, hypertensive disorders and cholesterol levels) and preterm birth outcomes. PRIMARY OUTCOME: Preterm delivery status.

resultsAdjusting for the other maternal CVD risk factors of interest, all categories of hypertension led to increased odds of preterm birth, with the strongest magnitude observed in the pre-eclampsia group (adjusted OR (aOR), 13.49; 95% CI 6.01 to 30.27 for preterm birth; aOR, 10.62; 95% CI 4.58 to 24.60 for late preterm birth; aOR, 17.98; 95% CI 7.55 to 42.82 for early preterm birth) and chronic hypertension alone for early preterm birth (aOR, 4.58; 95% CI 1.40 to 15.05). Diabetes (types 1 and 2 and gestational) was also associated with threefold increased risk for preterm birth (aOR, 3.06; 95% CI 1.12 to 8.41). A significant and linear dose response was found between total and low-density lipoprotein (LDL) cholesterol and aORs for late and early preterm birth, with increasing cholesterol values associated with increased risk (likelihood χ

conclusionTraditional CVD risk factors are significantly associated with an increased risk of preterm birth; these findings reinforce the clinical importance of integrating obstetric and cardiovascular risk assessment across the healthcare continuum in women.

Indexed as

CaliforniaCase-Control StudiesCorrelation of DataFemaleHumansHypercholesterolemiaHypertension, Pregnancy-InducedInfant, NewbornOdds RatioPregnancyPregnancy Complications, CardiovascularPregnancy in DiabeticsPremature BirthRisk Factorscardiologycoronary heart diseasediabetes in pregnancymaternal medicine

Identifiers

PMID32499261
PMCPMC7282308
OpenAlexW3033851195

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.