Evidence map›Paper›PMID 36657936›Full record

Trial reportClinical nutrition ESPEN2023

Docosahexaenoic acid (DHA) intake estimated from a 7-question survey identifies pregnancies most likely to benefit from high-dose DHA supplementation.

D N Christifano, S A Crawford, G Lee, A R Brown, J T Camargo, E H Kerling, B J Gajewski, C J Valentine, K M Gustafson, E A DeFranco and 1 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical nutrition ESPEN, 2023. 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
1.2field-weighted citation impact, top 22% 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, 13 citations in OpenAlex.

  1. Trial
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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

11 authors at 3 institutions in 1 country.

D N ChristifanoThe University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA; The University of Kansas Medical Center, Hoglund Biomedical Imaging Center, Kansas City, KS, USA.
S A CrawfordThe University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA.
G LeeThe University of Kansas Medical Center, Department of Obstetrics and Gynecology, Kansas City, KS, USA.
A R BrownThe University of Kansas Medical Center, Department of Biostatistics & Data Science, Kansas City, KS, USA.
J T CamargoThe University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA; The University of Kansas Medical Center, Department of Urology, Kansas City, KS, USA.
E H KerlingThe University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA.
B J GajewskiThe University of Kansas Medical Center, Department of Biostatistics & Data Science, Kansas City, KS, USA.
C J ValentineBanner University Medical Center, The University of Arizona, Department of Pediatrics, Tucson, AZ, USA.
K M GustafsonThe University of Kansas Medical Center, Hoglund Biomedical Imaging Center, Kansas City, KS, USA; The University of Kansas Medical Center, Department of Neurology, Kansas City, KS, USA.
E A DeFrancoThe University of Cincinnati, Department of Obstetrics and Gynecology, Cincinnati, OH, USA.
S E CarlsonThe University of Kansas Medical Center, Department of Dietetics and Nutrition, Kansas City, KS, USA. Electronic address: scarlson@kumc.edu.
University of Kansas Medical Center · USBanner - University Medical Center Tucson · USUniversity of Cincinnati · US

Funding

Identification of dietary supplement practices and nutrient intake among a diverse US cohort of pregnant womenR01HD083292 · NICHD · UNIVERSITY OF KANSAS MEDICAL CENTER · PI CARLSON, SUSAN E, GAJEWSKI, BYRON J. · 2016 to 2020
$3.3M
Prenatal DHA & Neurofunctional DevelopmentR01HD086001 · NICHD · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GUSTAFSON, KATHLEEN M · 2016 to 2020
$3.1M
NICHD NIH HHS R01 HD083292NICHD NIH HHS R01 HD086001
6 · The paper itself

Abstract

backgroundTwo randomized trials found women with low blood docosahexaenoic acid (DHA; an omega 3 fatty acid) had fewer early preterm births (<34 weeks gestation) if they were assigned to high dose DHA supplementation, however, there is currently no capacity for clinicians who care for pregnancies to obtain a blood assessment of DHA. Determining a way to identify women with low DHA intake whose risk could be lowered by high dose DHA supplementation is desired.

objectiveTo determine if assessing DHA intake can identify pregnancies that benefit from high dose DHA supplementation. STUDY

designThis secondary analysis used birth data from 1310 pregnant women who completed a 7-question food frequency questionnaire (DHA-FFQ) at 16.8 ± 2.5 weeks gestation that is validated to assess DHA status. They were then randomly assigned to a standard (200 mg/day) or high dose (800 or 1000 mg/day) DHA supplement for the remainder of pregnancy. Bayesian logistic regressions were fitted for early preterm birth and preterm birth as a function of DHA intake and assigned DHA dose.

resultsParticipants who consumed less than 150 mg/day DHA prior to 20 weeks' gestation (n = 810/1310, 58.1%) had a lower Bayesian posterior probability (pp) of early preterm birth if they were assigned to high dose DHA supplementation (1.4% vs 3.9%, pp = 0.99). The effect on preterm birth (<37 weeks) was also significant (11.3% vs 14.8%, pp = 0.97).

conclusionThe DHA-FFQ can identify pregnancies that will benefit most from high dose DHA supplementation and reduce the risk of preterm birth. The DHA-FFQ is low burden to providers and patients and could be easily implemented in obstetrical practice.

Indexed as

Fatty Acids, Omega-3Premature BirthBayes TheoremDietary SupplementsDocosahexaenoic AcidsFemaleHumansInfant, NewbornPregnancyDocosahexaenoic AcidsFatty Acids, Omega-3DietDocosahexaenoic acidPregnancyPrenatal supplementsPreterm birth

Identifiers

PMID36657936
PMCPMC9852746
OpenAlexW4310861175

What Socratic holds

Textmetadata
LicenceTDM
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.