ArticleHealth science reports2026
Biological Signatures of Inflammation Biomarkers Identified Using Data Reduction Methods in Adult Population: A Scoping Review Protocol.
Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Biological Signatures of Inflammation Biomarkers Identified Using Data Reduction Methods in Adult Population: A Scoping Review Protocol.Health science reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Chronic inflammation contributes to various chronic diseases, emphasizing the need for reliable biomarkers for early detection and understanding its causes. Measuring chronic inflammation poses challenges since most biomarkers are influenced by both acute and chronic states and recent exposures. Joint analysis of inflammatory biomarkers may help identify specific biological signatures linked to chronic inflammation. The scoping review whose protocol is described here, aims to map the existing literature identifying these signatures in adults using data reduction methods in epidemiological studies. Methods: The review will follow the Joanna Briggs Institute methodology and the extension for Scoping Reviews of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis checklist (PRISMA-ScR). An electronic search will be performed in Medline (via PubMed) and Embase (via Elsevier) for studies published until October 2023, using relevant terms related to inflammation biomarkers, and data reduction methods. Eligible studies include systematic reviews and primary experimental, quasi-experimental, and observational research analyzing inflammation biomarkers in blood, urine, or saliva from adults. Studies focused on acute infectious diseases, transient inflammatory conditions, and those not published in English or Spanish will be excluded. Four independent reviewers will conduct a two-phase screening of studies (title/abstract and full-text), with a third reviewer resolving disagreements. Data extraction will be handled by one reviewer and verified by another using a predefined form. Results: Findings will be summarized in a PRISMA flowchart. Interactive visual maps will illustrate the identified inflammatory signatures, categorized by study design, data reduction method, population type, and clinical condition. All resources will be publicly available. Conclusion: This review will provide a comprehensive overview of inflammation biomarker signatures derived from data reduction methods while identifying existing knowledge gaps in the field. Scoping Review Registration: This protocol was registered on January 25, 2024, on Open Science Framework (https://doi.org/10.17605/OSF.IO/85XUF).
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Registered trials
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.