Evidence map›Paper›PMID 41780827›Full record

ReviewThe Journal of nutrition2026

Advancing Whole-Person Health through Informatics: A Narrative Review of Knowledge Resources for Complementary and Integrative Health.

Robin R Austin, Marcelo Fiszman, Evan Guerra, Rui Zhang, Halil Kilicoglu

Abstract readReview
In one paragraph

Review in The Journal of 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

5 authors.

Robin R AustinSchool of Nursing, Population Health Systems Cooperative, University of Minnesota, Minneapolis, MN, United States. Electronic address: quis0026@umn.edu.
Marcelo FiszmanSemedy Inc, Newton, MA, United States.
Evan GuerraSchool of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, United States.
Rui ZhangDivision of Computational Health Sciences, University of Minnesota, Minneapolis, MN, United States; Center for Learning Health System Sciences, University of Minnesota, Minneapolis, MN, United States.
Halil KilicogluSchool of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, United States; Division of Nutritional Sciences, University of Illinois Urbana-Champaign, Urbana, IL, United States; Personalized Nutrition Initiative, University of Illinois Urbana-Champaign, Urbana, IL, United States.

Funding

A Translational Informatics Framework to Mine Efficacy and Safety of Dietary SupplementsR01AT009457 · NCCIH · UNIVERSITY OF MINNESOTA · PI RUI ZHANG · 2017 to 2026
$4.1M
COMBINI: connecting COmplementary Medicine evidence and BIological kNowledge to support Integrative HealthU01AT012871 · NCCIH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Halil Kilicoglu, Cui Tao · 2024 to 2026
$1.9M
NCCIH NIH HHS R01 AT009457NCCIH NIH HHS U01 AT012871
6 · The paper itself

Abstract

backgroundComplementary and integrative health (CIH) interventions, including nutritional strategies, are widely used to support whole-person health, yet evidence on their efficacy, safety, and mechanisms remains fragmented.

objectivesThis narrative review mapped existing CIH knowledge resources, identifies critical gaps, and highlighted challenges in interoperability and integration. We proposed artificial intelligence-driven informatics strategies to standardize, connect, and leverage these resources, with the goal of advancing discovery, precision nutrition, and personalized approaches to health and well-being.

methodsWe conducted a narrative review of publicly available knowledge resources on complementary health interventions, focusing on their effectiveness, safety, and biological mechanisms, including the microbiome. Interventions were categorized as nutritional, physical, or psychological. Resources were then classified as knowledge bases, datasets, databases, ontologies, knowledge graphs, platforms, or initiatives, with summaries of their scope, functionality, and contributions.

resultsWe identified 47 resources that can support complementary and integrative health informatics (15 knowledge bases, 13 databases, 7 datasets, 4 platforms, 3 initiatives, 3 ontologies, and 2 knowledge graphs). Categories included nutritional interventions (32, with 13 on the microbiome), physical interventions (4), psychological interventions (3), and comprehensive or multimodal resources (7). Most resources (39) were publicly available.

conclusionsAdvancing whole-person health requires greater standardization and integration of knowledge resources, which in turn enables more effective application of artificial intelligence and informatics methods. When well-structured, interoperable resources are coupled with these computational methods, they can unify diverse knowledge domains, advance the science of complementary and integrative health, and accelerate discovery in personalized nutrition.

Indexed as

Complementary TherapiesIntegrative MedicineMedical InformaticsArtificial IntelligenceHumansKnowledge Basescomplementary and integrative healthcomplementary therapiesinformaticsknowledge resourceswhole-person health

Identifiers

PMID41780827
PMCPMC13197893

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.