Evidence map›Paper›PMID 34842102›Full record

ArticleJoint diseases and related surgery2021

The relationship of systemic inflammatory biomarkers and cardiac parameters with malignancy in patients with soft tissue tumors located in the extremity.

Tolga Tolunay, Şefik Murat Arıkan, Recep Öztürk, Hatice Tolunay

Open access · diamondAbstract read
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Article in Joint diseases and related surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 51% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Tolga Tolunay
Şefik Murat Arıkan
Recep ÖztürkDr. Abdurrahman Yurtaslan Ankara Onkoloji Eğitim ve Araştırma Hastanesi, Ortopedi ve Travmatoloji Kliniği, 06200 Yenimahalle, Ankara, Türkiye. ozturk_recep@windowslive.com.
Hatice Tolunay
Gazi University · TRAnkara Onkoloji Eğitim ve Araştırma Hastanesi · TRGülhane Askerî Tıp Akademisi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn this study, we aimed to investigate the contribution of systemic inflammatory biomarkers to the diagnosis and to examine the relationship between cardiac parameters and malignancy in patients with extremity soft tissue sarcomas (STSs). PATIENTS AND

methodsBetween January 2011 and December 2020, a total of 256 patients (155 males, 101 females; median age: 50 years; range, 18 to 87 years) who were diagnosed with benign and malignant soft tissue tumors were retrospectively analyzed. The control group consisted of a total of 150 age- and sex-matched healthy individuals (83 males, 67 females; median age: 52 years; range 19 to 76 years) with complete blood count analysis and having no STS. Demographic characteristics, laboratory parameters, and echocardiographic data of the patients were obtained from the hospital database. The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were calculated.

resultsOf a total of 256 patients included, 99 were diagnosed with benign tumors and 157 with malignant tumors. Lipoma was observed with the highest frequency of 40.4% among benign tumors, while malignant mesenchymal tumor (35.0%) was the most common tumor in the malignant group. There was no significant difference between the control and benign groups (p=0.198 and p=0.553, respectively), while the NLR and PLR of the malignant group were higher than both the control and benign groups, indicating a statistical significance (p<0.001). Total cholesterol, albumin, and ejection fraction (EF) levels of patients in the malignant group were significantly lower than the benign group (p=0.01, p<0.001, and p=0.046, respectively). According to the receiver operating characteristic curve, a cut-off value of 2.17 for NLR (sensitivity=64.1%, specificity=72%) and a cut-off value of 138.2 for PLR (sensitivity=60.9%, specificity=60.7%) were determined to distinguish malignant patients from healthy individuals. To distinguish malignant patients from the benign group, the cut-off values of NLR and PLR were 2.24 (sensitivity=62.8%, specificity=67.7%) and 137.9 (sensitivity=61%, specificity= 59.6%), respectively.

conclusionOur study results suggest that NLR and PLR can be used as diagnostic markers in malignant soft tissue tumors located in the extremities. In addition, total cholesterol, albumin, and EF values are lower than normal in malignant soft tissue tumors.

Indexed as

LymphocytesSoft Tissue NeoplasmsAdultAgedBiomarkersExtremitiesFemaleHumansMaleMiddle AgedRetrospective StudiesYoung AdultBiomarkers

Identifiers

PMID34842102
PMCPMC8650658
OpenAlexW3215194198

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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 OpenQuestion graph.