Evidence map›Paper›PMID 38021447›Full record

ArticleOncoTargets and therapy2023

Predictive Significance of Systemic Immune-Inflammation Index in Patients with Breast Cancer: A Retrospective Cohort Study.

Yunxiang Zhou, Xianan Guo, Lu Shen, Kexin Liu, Qunan Sun, Yali Wang, Hui Wang, Wenyu Fu, Yihan Yao, Shijie Wu and 4 more

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

14 authors.

Yunxiang Zhou *Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.ORCID 0000-0003-1000-0330
Xianan Guo *Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Lu ShenDepartment of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Kexin LiuDepartment of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Qunan SunDepartment of Medical Oncology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Yali WangDepartment of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, People's Republic of China.
Hui WangDepartment of Pathology, Cancer Hospital of the University of Chinese Academy of Science (Zhejiang Cancer Hospital), Hangzhou, People's Republic of China.
Wenyu FuDepartment of Surgery, Hangzhou Fuyang Hospital of Traditional Chinese Medicine, Hangzhou, People's Republic of China.
Yihan YaoInstitute of Immunology, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China.
Shijie WuCancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Huihui ChenDepartment of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Jili QiuDepartment of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Tao PanDepartment of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
Yongchuan DengDepartment of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Peripheral blood inflammation indices, including the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), have become research hotspots in the diagnosis, treatment, and prognosis prediction of breast cancer, whereas existing research findings remain controversial. Methods: Data pertaining to 1808 breast cancer patients were collected retrospectively to analyze the predictive value of NLR/PLR/SII for breast cancer clinicopathological characteristics, chemotherapy response, and relapse. 1489, 258, and 53 eligible breast cancer patients entered into the three analyses, respectively. Logistic regression analyses were used to assess the correlation between these indices and poor response to chemotherapy. A predictive scoring model was established to predict chemotherapeutic responses based upon the odds ratio values of significant variables identified in logistic regression analyses. Results: Higher pretherapeutic NLR/PLR/SII values were significantly correlated with higher tumor stage, triple-negative breast cancer, premenopausal status, and younger age. Logistic regression analyses indicated that pretherapeutic high SII (as a continuous variable or with a cut-off value of 586.40) and HER2-negative status were independent predictors of poor response to neoadjuvant chemotherapy. A first-in-class SII-based predictive scoring model well distinguished patients who might not benefit from neoadjuvant chemotherapy, with an area under the curve of 0.751. In HR-positive cancers, SII was more strongly associated with clinicopathological features and chemotherapy response. In addition, a receiver operating characteristic curve analysis indicated that the specificity of follow-up SII in identifying cancer relapse was greater than 98.0% at a cut-off value of 900. Conclusion: As a predictor of breast cancer, especially in the HR-positive subtype, SII may eclipse NLR/PLR. SII-high patients are more likely to have a worse chemotherapy response and a higher risk of recurrence.

Indexed as

breast cancerchemotherapy responseneutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratiopredictorsystemic immune-inflammation index

Identifiers

PMID38021447
PMCPMC10658965

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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.