Evidence map›Paper›PMID 42909331›Full record

SynthesisFrontiers in nutrition2026

Global research landscape and emerging frontiers of ultra-processed food intake and cardiometabolic health: a bibliometric and knowledge-mapping analysis (2015-2025).

Tianao Chen, Ping Ni, Minxin Li, Haijun Ma, Jin Dai, You Yu, Rui Yu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Tianao ChenLiaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.
Ping NiLiaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.
Minxin LiLiaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.
Haijun MaLiaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.
Jin DaiLiaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.
You YuLiaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.
Rui YuLiaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Bibliometric and visual analysis of research on ultra-processed food (UPF) intake and cardiometabolic health from 2015 to 2025. Methods: Publications from 2015 to 2025 were retrieved from the Web of Science Core Collection (WoSCC) and Scopus databases. Analyses were conducted using R software (bibliometrix package), VOSviewer, CiteSpace, and Origin 2018. Results: Scholarly output in this field demonstrated a continuous growth trajectory throughout the study period, with the steepest rise concentrated between 2020 and 2021. Brazil led in publication output, followed by the United States and China. The University of São Paulo ranked first among contributing institutions. Conclusion: Global research interest in the relationship between UPF intake and cardiometabolic health has grown substantially over the past decade. This study provides a comprehensive mapping of the current research landscape, key hotspots, and emerging frontiers in this field, offering a valuable reference for future investigations and public health interventions.

Indexed as

bibliometriccardiometabolic diseasesnutritionpublic healthultra-processed foods

Identifiers

PMID42909331
PMCPMC13684074

What OpenQuestion holds

Textmetadata
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.