Evidence map›Paper›PMID 38202181›Full record

ArticleJournal of clinical medicine2023

Combining Biomarkers for the Diagnosis of Metastatic Melanoma.

Tünde Várvölgyi, Eszter Anna Janka, István Szász, Viktória Koroknai, Tünde Toka-Farkas, Imre Lőrinc Szabó, Beatrix Ványai, Andrea Szegedi, Gabriella Emri, Margit Balázs

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
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

10 authors at 1 institution in 1 country.

Tünde VárvölgyiDepartment of Dermatology, MTA Centre of Excellence, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Eszter Anna JankaDepartment of Dermatology, MTA Centre of Excellence, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
István SzászHUN-REN-UD Public Health Research Group, University of Debrecen, 4028 Debrecen, Hungary.
Viktória KoroknaiHUN-REN-UD Public Health Research Group, University of Debrecen, 4028 Debrecen, Hungary.
Tünde Toka-FarkasDepartment of Dermatology, MTA Centre of Excellence, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Imre Lőrinc SzabóDepartment of Dermatology, MTA Centre of Excellence, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Beatrix VányaiDepartment of Dermatology, MTA Centre of Excellence, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Andrea SzegediDepartment of Dermatology, MTA Centre of Excellence, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0003-2109-9014
Gabriella EmriDepartment of Dermatology, MTA Centre of Excellence, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Margit BalázsHUN-REN-UD Public Health Research Group, University of Debrecen, 4028 Debrecen, Hungary.ORCID 0000-0002-4246-2321
University of Debrecen · HU

Funding

the European Regional Development Fund GINOP-2.3.2-15-2016-00005the Hungarian Research Network TKCS-2021/32the National Research Development and Innovation Fund K-135752the ÚNKP-23-4 New National Excellence Program of the Ministry for Culture and Innovation from the Source of National research, Development and Innovation Fund ÚNKP-23-4-II-DE-172the ÚNKP-23-4 New National Excellence Program of the Ministry for Culture and Innovation from the Source of National research, Development and Innovation Fund ÚNKP-23-4-II-DE-229the ÚNKP-23-4 New National Excellence Program of the Ministry for Culture and Innovation from the Source of National research, Development and Innovation Fund ÚNKP-23-4-II-DE-283
6 · The paper itself

Abstract

The early detection of melanoma relapse can improve patient survival; thus, there is a great need for easily accessible biomarkers that facilitate the diagnosis of metastatic disease. We investigated the diagnostic effect of blood biomarkers such as lactate dehydrogenase (LDH), S100B, and osteopontin in the detection of metastases. Clinical data and peripheral blood samples of 206 melanoma patients were collected (no metastasis, N = 120; metastasis, N = 86). The discriminative power of blood biomarkers, patient demographics, and clinicopathological parameters of primary melanomas were evaluated using univariate and multivariate logistic regression models and receiver operating characteristic (ROC) analysis to determine the area under the curve (AUC). Plasma osteopontin levels showed a significant and independent effect on the probability of metastasis, similar to serum S100B levels. In addition, the location of the primary tumor on the lower extremities and the American Joint Committee on Cancer (AJCC) categories pT2b-3a, pT3b-4a, and pT4b were associated with the diagnosis of metastasis. Importantly, the combination of the three blood biomarkers and primary tumor localization and AJCC pT category yielded excellent discrimination (AUC: training set: 0.803; validation set: 0.822). In conclusion, plasma osteopontin can be classified as a melanoma biomarker; moreover, by combining clinicopathological prognostic variables, the diagnostic effect of blood biomarkers in the detection of metastatic melanoma can be improved.

Indexed as

metastatic melanomaosteopontinS100B

Identifiers

PMID38202181
PMCPMC10779676
OpenAlexW4390344614

What OpenQuestion holds

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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 OpenQuestion graph.