Evidence mapPaperPMID 41933704Full record

ReviewAdvances in nutrition (Bethesda, Md.)2026

Saliva as a Matrix for Primary Care: Feasibility and Scoping of Its Use for Assessment of Nutrition and Inflammation.

Shah Mohammad Fahim, Mahesa Miah, Mia Marcotte, Nancy Zoria, Mahdia Ahmed, Samantha L Huey, David Erickson, Julia L Finkelstein, Saurabh Mehta

Abstract readReview
In one paragraph

Review in Advances in nutrition (Bethesda, Md.), 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

9 authors.

Shah Mohammad FahimCornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States; Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States.
Mahesa MiahDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.
Mia MarcotteDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.
Nancy ZoriaDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.
Mahdia AhmedDivision of Nutritional Sciences, Cornell University, Ithaca, NY, United States.
Samantha L HueyCornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States; Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States.
David EricksonCornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States; Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, United States; NIH Center for Point-of-Care Diagnostics for Nutrition, Infection, and Cancer for Global Health (PORTENT), Cornell University, Ithaca, NY, United States.
Julia L FinkelsteinCornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States; Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; NIH Center for Point-of-Care Diagnostics for Nutrition, Infection, and Cancer for Global Health (PORTENT), Cornell University, Ithaca, NY, United States; Division of Epidemiology, Department of Population Health Sciences, Cornell Weill Medicine, New York, NY, United States.
Saurabh MehtaCornell Joan Klein Jacobs Center for Precision Nutrition and Health, Cornell University, Ithaca, NY, United States; Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States; NIH Center for Point-of-Care Diagnostics for Nutrition, Infection, and Cancer for Global Health (PORTENT), Cornell University, Ithaca, NY, United States; Division of Epidemiology, Department of Population Health Sciences, Cornell Weill Medicine, New York, NY, United States. Electronic address: smehta@cornell.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scarce laboratory capacity constrains both primary care and population surveillance for nutritional and inflammation assessment globally. One major contributing factor is the reliance on blood as the primary matrix, and its associated limitations of being invasive, having relatively lower acceptance in apparently healthy individuals and community settings, and being heavily dependent on laboratory and related infrastructure. Saliva offers a noninvasive, inexpensive, and more convenient alternative that causes less discomfort and has the potential to expand the portfolio of point-of-care testing for nutrition and inflammation assessment in primary care. We aimed to synthesize the evidence on the feasibility and scope of using salivary biomarkers for nutrition and inflammation assessment. A literature search was conducted in MEDLINE and CINAHL, without restrictions on language, geographical location, or publication date. Screening and data extraction were done in duplicate on Covidence. A narrative synthesis was done to summarize the results. Seventy-six studies examining salivary biomarkers for nutrition and inflammation were identified across 26 countries, involving 5425 children and 5617 adults. We summarized the results from 33 studies assessing ferritin, iron, zinc, calcium, vitamin A, vitamin B-12, vitamin D, vitamin C, and vitamin E in saliva. Additionally, we found 43 studies evaluating salivary inflammatory biomarkers, including C-reactive protein, α-1 acid glycoprotein, hepcidin, immunoglobulin A, and cytokines within the context of nutritional impairments. Although most biomarker values were detectable in saliva, significant evidence and methodological gaps remain, including the absence of standardized protocols for sample collection, transportation, processing, storage, and laboratory analysis; insufficient information on diagnostic performance, accuracy, and comparability with corresponding blood biomarkers; and challenges in interpreting findings across different population subsets and settings. Future research should focus on improving method reporting and ensuring the clinical relevance of findings to maximize the potential of saliva-based diagnostics for nutrition and inflammation assessment.

Indexed as

InflammationNutritional StatusNutrition AssessmentPrimary Health CareSalivaAdultBiomarkersChildFeasibility StudiesHumansPoint-of-Care TestingBiomarkersbiomarkerscytokinesnutritional statusnutrition assessmentpoint of caresaliva

Identifiers

PMID41933704
PMCPMC13112399

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.