AI-Powered Analysis of Weight Loss Reports from Reddit: Unlocking Social Media's Potential in Dietary Assessment.

Efstathios Kaloudis, Victoria Kouti, Foteini-Maria Triantafillou, Patroklos Ventouris, Rafail Pavlidis, Vasiliki Bountziouka

Abstract read

PubMed Full text at PMC Publisher

In one paragraph

Article in Nutrients, 2025. 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.

Social Listening as a Tool to Understand Nutrition-Related Information Needs: A Case Study in Inflammatory Bowel Disease.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
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

6 authors.

Efstathios KaloudisComputer Simulation, Genomics and Data Analysis Laboratory, Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece.ORCID 0000-0001-7602-3282

Victoria KoutiComputer Simulation, Genomics and Data Analysis Laboratory, Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece.ORCID 0009-0002-0431-3509

Foteini-Maria TriantafillouComputer Simulation, Genomics and Data Analysis Laboratory, Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece.ORCID 0009-0002-2428-4119

Patroklos VentourisComputer Simulation, Genomics and Data Analysis Laboratory, Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece.ORCID 0009-0008-6606-4695

Rafail PavlidisComputer Simulation, Genomics and Data Analysis Laboratory, Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece.

Vasiliki BountzioukaComputer Simulation, Genomics and Data Analysis Laboratory, Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Greece.ORCID 0000-0003-2522-1582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceDiet, KetogenicNutrition AssessmentSocial MediaWeight LossAdultFemaleHumansMaleMiddle AgedPatient ComplianceSelf Reportartificial intelligence (AI)dietary assessmentketogenic dietlarge language models (LLM)self-reported datasocial media analyticsweight loss

Identifiers

PMID40077687

DOI10.3390/nu17050818

PMCPMC11901788

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.