Evidence map›Paper›PMID 31003431›Full record

ReviewNutrients2019

Putative Effects of Nutritive Polyphenols on Bone Metabolism In Vivo-Evidence from Human Studies.

Katharina Austermann, Natalie Baecker, Peter Stehle, Martina Heer

Abstract readReview
In one paragraph

Review in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. International journal of molecular sciences · 2020
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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

4 authors.

Katharina AustermannDepartment of Nutrition and Food Sciences, Nutritional Physiology, University of Bonn, 53115 Bonn, Germany. kataust@uni-bonn.de.
Natalie BaeckerIUBH International University, 53604 Bad Honnef, Germany. n.baecker@IUBH-fernstudium.de.
Peter StehleDepartment of Nutrition and Food Sciences, Nutritional Physiology, University of Bonn, 53115 Bonn, Germany. pstehle@uni-bonn.de.ORCID 0000-0002-4596-8088
Martina HeerDepartment of Nutrition and Food Sciences, Nutritional Physiology, University of Bonn, 53115 Bonn, Germany. drmheer@aol.com.ORCID 0000-0001-5534-911X

Funding

Deutsches Zentrum für Luft- und Raumfahrt 50WB1535
6 · The paper itself

Abstract

For the prevention and treatment of bone loss related diseases, focus has been put on naturally derived substances such as polyphenols. Based on human intervention studies, this review gives an overview of the effects of dietary significant polyphenols (flavonoids, hydroxycinnamic acids, and stilbenes) on bone turnover. Literature research was conducted using PubMed database and articles published between 01/01/2008 and 31/12/2018 were included (last entry: 19/02/2019). Randomized controlled trials using oral polyphenol supplementation, either of isolated polyphenols or polyphenols-rich foods with healthy subjects or study populations with bone disorders were enclosed. Twenty articles fulfilled the inclusion criteria and the average study quality (mean Jadad score: 4.5) was above the pre-defined cut-off of 3.0. Evidence from these studies does not allow an explicit conclusion regarding the effects of dietary important polyphenols on bone mineral density and bone turnover markers. Differences in study population, habitual diet, lifestyle factors, applied polyphenols, used doses, and polyphenol bioavailability complicate the comparison of study outcomes.

Indexed as

Bone and BonesDietary SupplementsHumansPolyphenolsPolyphenolsantioxidantsbonebone lossflavonoidsosteoporosispolyphenols

Identifiers

PMID31003431
PMCPMC6520874

What OpenQuestion holds

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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.