Evidence map›Paper›PMID 41908377›Full record

ArticleACS omega2026

Application of Mass Spectrometry-Based Metabolomics and Machine Learning in the Diagnostics of Lyme Neuroborreliosis.

Ilari Kuukkanen, Geraldson Muluh, Đorđe Klisura, Elisa Kortela, Annukka Pietikäinen, Leo Lahti, Jukka Hytönen, Maarit Karonen

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PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 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

8 authors.

Ilari KuukkanenDepartment of Chemistry, University of Turku, Turku 20014, Finland.ORCID https://orcid.org/0000-0003-1205-5394
Geraldson MuluhDepartment of Computing, University of Turku, Turku 20014, Finland.
Đorđe KlisuraDepartment of Computing, University of Turku, Turku 20014, Finland.
Elisa KortelaHUS Inflammation Center, Helsinki 00029, Finland.
Annukka PietikäinenInstitute of Biomedicine, University of Turku, Turku 20014, Finland.
Leo LahtiDepartment of Computing, University of Turku, Turku 20014, Finland.ORCID https://orcid.org/0000-0001-5537-637X
Jukka HytönenInstitute of Biomedicine, University of Turku, Turku 20014, Finland.
Maarit KaronenDepartment of Chemistry, University of Turku, Turku 20014, Finland.ORCID https://orcid.org/0000-0002-9964-6527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lyme borreliosis (LB) and its disseminated nervous system manifestation, Lyme neuroborreliosis (LNB), presents diagnostic challenges, especially in seropositive and ambiguous clinical cases. In this study, we applied mass spectrometry (MS)-based metabolomics combined with machine learning (ML) to analyze serum samples from patients with definite acute LNB (n = 34), treated LNB (n = 34), together with

Identifiers

PMID41908377
PMCPMC13019214

What Socratic holds

Textmetadata
LicenceCC BY
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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.