Evidence map›Paper›PMID 36145129›Full record

SynthesisNutrients2022

Polyphenol Intake in Pregnant Women on Gestational Diabetes Risk and Neurodevelopmental Disorders in Offspring: A Systematic Review.

Blanca Salinas-Roca, Laura Rubió-Piqué, Anna Montull-López

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.7field-weighted citation impact, top 6% 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, 21 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. From Ocean to Medicine: Harnessing Seaweed's Potential for Drug Development.International journal of molecular sciences · 2024
    Review
  7. Review
  8. [Association between maternal gestational diabetes mellitus and the risk of autism spectrum disorder in offspring].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  9. Review
  10. Review
  11. 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

3 authors at 1 institution in 1 country.

Blanca Salinas-RocaGlobal Research on Wellbeing (GRoW) Research Group, Blanquerna School of Health Science, Ramon Llull University, Padilla, 326-332, 08025 Barcelona, Spain.ORCID 0000-0002-1668-7594
Laura Rubió-PiquéAntioxidants Research Group, Food Technology Department, AGROTECNIO-CERCA Center, University of Lleida, Av/Alcalde Rovira Roure 191, 25198 Lleida, Spain.
Anna Montull-LópezDepartment of Nursing and Physiotherapy, University of Lleida, Montserrat Roig 2, 25198 Lleida, Spain.
Universitat de Lleida · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intake of foods containing polyphenols can have a protective role to avoid comorbidities during pregnancy and, at the same time, promote transgenerational health. This review aims to describe the effect of polyphenol intake through supplements or polyphenol-rich foods during pregnancy on the incidence and evolution of gestational diabetes mellitus (GDM), as well as the link with the neurodevelopment of the fetus. Using PRISMA procedures, a systematic review was conducted by searching in biomedical databases (PubMed, Cinahl and Scopus) from January to June 2022. Full articles were screened (

Indexed as

Autism Spectrum DisorderDiabetes, GestationalNeurodevelopmental DisordersDietary SupplementsFemaleHumansPolyphenolsPregnancyPregnant PeoplePolyphenolsfetal neurodevelopmentgestational diabetespolyphenolpregnant womentransgenerational health

Identifiers

PMID36145129
PMCPMC9502213
OpenAlexW4296016151

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.