Evidence map›Paper›PMID 37303645›Full record

ArticleAmerican journal of translational research2023

Correlation of systemic immune-inflammatory response index with clinical data in patients with malignant ovarian tumor.

Jinhui Feng, Qiming Wang

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Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

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8citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Jinhui FengThird Gynecology, Ningbo Women's and Children's Hospital 339 Liuting Street, Haishu, Ningbo, Zhejiang, China.
Qiming WangDepartment of Obstetrics and Gynecology, Ningbo Women's and Children's Hospital 339 Liuting Street, Haishu, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the correlation of the systemic immune-inflammatory response index (SIRI) with clinical data in patients with malignant ovarian tumor.

methodsThe clinical data of 118 patients with ovarian cancer (OC) treated in Ningbo Women's and Children's Hospital from February 2016 to January 2018 were retrospectively studied. Patients were divided into high and low SIRI expression groups according to the receiver operator curve (ROC) optimal cut-off (Cut-off) value, and the association of SIRI with the patient's clinical data was analyzed. Cox regression was adopted for the analysis of prognostic factors impacting the patients' 5-year survival. The associations of SIRI with tumor markers were also analyzed. A risk prediction model was constructed based on the Cox regression coefficient.

resultsThe group of patients who died showed notably higher neutrophil (NEUT) and SIRI levels than the surviving group, and also showed a significantly lower lymphocyte (LYM) level than the surviving group (P < 0.001). The areas under the ROC curves (AUC) for CA125, NEUT, LYM, and SIRI for predicting death from OC were 0.779, 0.754, 0.776, and 0.848, respectively. In addition, the AUC of each index was ranked CA125 > SIRI > LYM > NEUT. The high-expression group had a higher proportion of patients with stage III-IV and lymph node metastasis (LNM) than the low-expression group (P < 0.05). SIRI showed a positive correlation with serum carbohydrate antigen 125 (CA125), CA153, and HE4 (all P < 0.05), but had no correlation with CA199, AFP, or CEA (all P > 0.05). According to multivariate Cox regression analysis, age, FIGO stage, SIRI, and therapeutic regimen were independent prognostic factors for the 5-year survival of OC patients (all P < 0.05). The risk score was significantly higher in the death group than that in the surviving group (P < 0.001), and the AUC of this risk score for predicting 5-year survival was 0.876.

conclusionPatients with an increased SIRI level account for a large proportion of OC patients with a high FIGO stage and LNM. The 5-year survival rate of patients with a high SIRI level is unfavorable, suggesting the use of SIRI as an observation index for the prognosis of OC.

Indexed as

5-year survivalCox regressionovarian cancerprognosisSystemic immune-inflammatory response index

Identifiers

PMID37303645
PMCPMC10251003

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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.