Evidence map›Paper›PMID 24999296›Full record

ReviewMediators of inflammation2014

Gut microbioma population: an indicator really sensible to any change in age, diet, metabolic syndrome, and life-style.

Noce Annalisa, Tarantino Alessio, Tsague Djoutsop Claudette, Vasili Erald, De Lorenzo Antonino, Di Daniele Nicola

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Mediators of inflammation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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

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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

6 authors.

Noce AnnalisaDivision of Hypertension and Nephrology, Department of System Medicine, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Tarantino AlessioDivision of Hypertension and Nephrology, Department of System Medicine, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Tsague Djoutsop ClaudetteDivision of Hypertension and Nephrology, Department of System Medicine, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Vasili EraldDepartement of Diagnostic and Molecular Imaging, Interventional Radiology and Radiation Therapy, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
De Lorenzo AntoninoDepartment of Biomedicine and Prevention, Division of Clinical Nutrition and Nutrigenomic, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.
Di Daniele NicolaDivision of Hypertension and Nephrology, Department of System Medicine, University of Rome Tor Vergata, Viale Oxford 81, 00133 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity has become a pandemic threat in the latest 30 years. The trend of the prevalence of overweight and obesity has got an overall increase in every part of the world, regardless of ethnicity, life-style and social ties. High food intake, genetic, and sedentary have been related to obesity; it has been also hypothesized that gut microbiota could have an impact on the complex mechanism underlying the weight gain. This review aims to illustrate the actual literature about gut microbiota and its relation with obesity and to analyze the possible implications of factors such as diet and life-style onto the composition of gut microbiota, that can lead to overweight/obesity condition.

Indexed as

Life StyleEatingGastrointestinal TractHumansMetabolic Syndrome

Identifiers

PMID24999296
PMCPMC4066855

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.