Evidence map›Paper›PMID 41572126›Full record

ArticleClinical oral implants research2026

Peri-Implant Crevicular Fluid Analysis by Mid-Infrared Spectroscopy in Peri-Implantitis-A Pilot Study.

Francisco Maligno, Ricardo N M J Páscoa, Pedro S Gomes

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Article in Clinical oral implants research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Francisco MalignoFaculdade de Medicina Dentária, Universidade do Porto, Porto, Portugal.ORCID 0000-0003-1270-9597
Ricardo N M J PáscoaLAQV/REQUIMTE, Departamento de Ciências Químicas, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal.
Pedro S GomesBoneLab, Faculdade de Medicina Dentária, Universidade do Porto, Porto, Portugal.ORCID 0000-0001-5365-2123

Funding

Fundação para a Ciência e a Tecnologia LA/P/0008/2020Fundação para a Ciência e a Tecnologia UIDB/50006/2020Fundação para a Ciência e a Tecnologia UIDP/50006/2020PT national funds UID/50006/2025
6 · The paper itself

Abstract

objectivesThis study aimed to assess biochemical differences in peri-implant crevicular fluid (PICF) using ATR-FTIR spectroscopy and multivariate analysis, through a between-participant comparison of healthy and peri-implantitis (PI) sites, and a within-participant comparison of PI-PICF and GCF from contralateral periodontal healthy teeth. MATERIALS AND

methodsSamples were categorized into three groups based on peri-implant status and sampling site: PICF from peri-implant healthy sites, PICF from PI-affected sites, and GCF from contralateral healthy teeth in PI patients, with n = 20/group. Samples were collected and analyzed through ATR-FTIR spectroscopy. Chemometric models were applied for cluster/outlier identification and discrimination. Regression coefficient vectors of PLS-DA models identified key spectral differences between groups.

resultsA total of 40 implants were analyzed; participants had a mean age of 62 years, predominantly female (59%), non-smokers (88%), and most received regular maintenance therapy (82%). PCA revealed subtle cluster formations without clear group separation. Comparing PICF from patients with and without PI, the most important wavenumbers for the PLS-DA model were within 1700-1680 cm

conclusionsFTIR-spectroscopy combined with chemometric modeling effectively discriminates peri-implant health and PI in both inter- and intra-subject comparisons. Higher within-subject accuracy supports FTIR's potential as a site-specific, non-invasive diagnostic tool for peri-implantitis.

Indexed as

Dental ImplantsGingival Crevicular FluidPeri-ImplantitisFemaleHumansMaleMiddle AgedPilot ProjectsSpectroscopy, Fourier Transform InfraredDental ImplantschemometricsIR spectroscopyPCAperi‐implant crevicular fluidperi‐implantitisPLS‐DA

Identifiers

PMID41572126
PMCPMC13051418

What Socratic holds

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Registered trials

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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.