Evidence map›Paper›PMID 38892672›Full record

ReviewNutrients2024

Evaluating the Reliability of Health Portals' Nutrition and Supplementation Advice for Pregnant Women: A Comprehensive Review.

Magdalena Skowrońska, Michał Pawłowski, Robert Milewski

Abstract readReview
In one paragraph

Review in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Magdalena SkowrońskaDoctoral School, Medical University of Białystok, 15-276 Białystok, Poland.ORCID 0000-0001-7059-3276
Michał PawłowskiDepartment of Biostatistics and Medical Informatics, Medical University of Białystok, 15-295 Białystok, Poland.ORCID 0000-0003-0046-4633
Robert MilewskiDepartment of Biostatistics and Medical Informatics, Medical University of Białystok, 15-295 Białystok, Poland.ORCID 0000-0001-6241-8283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article evaluates the reliability and consistency of nutrition- and supplementation-related advice for pregnant women provided by ten selected health-related Internet portals. The portals were chosen based on their perceived reliability and prominence in Google searches, with representation from both English and Polish language sources. The evaluation criteria included the adherence of the presented information to official recommendations and its evidence-based character based on specific items representing dietary aspects important in pregnancy. While the overall reliability was deemed acceptable, significant variations existed both among the portals and specific evaluated items. Notably, HealthLine, Medline Plus, and NCEZ emerged as the most evidence-based, while WebMD and Medycyna Praktyczna were identified as less reliable. Despite a number of issues, the analysed portals remain valuable sources of nutritional information for pregnant women, offering user-friendly accessibility superior to alternatives such as social media on the one hand and scientific articles on the other. Improved consistency and attention to detail, especially in relation to vitamin intake and supplementation, would improve the overall quality of health portals.

Indexed as

Dietary SupplementsFemaleHumansInternetMaternal Nutritional Physiological PhenomenaNutritional StatusPatient PortalsPregnancyPregnant PeoplePrenatal CareReproducibility of Resultsevidence-based medicinehealth portalsnutritionpregnancysupplementation

Identifiers

PMID38892672
PMCPMC11175121

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.