Evidence map›Paper›PMID 37287504›Full record

ArticleInternational journal of general medicine2023

High Levels of SII and PIV are the Risk Factors of Axillary Lymph Node Metastases in Breast Cancer: A Retrospective Study.

Ling Tong, Shan Wang, Ranran Zhang, Yibo Wu, Dewu Xu, Ling Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Ling Tong *Human Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Shan Wang *Human Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Ranran ZhangHuman Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Yibo WuHuman Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Dewu XuDepartment of Medicine Education, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Ling ChenDepartment of Breast Surgery, Affiliated Hospital of Jiangnan University, Wuxi, People's Republic of China.
Wuxi Fourth People's Hospital · CNJiangnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the predictive value of systemic immune-inflammation-index (SII) and Pan-Immune-Inflammation-value (PIV) for axillary lymph node (ALN) metastasis in patients with breast cancer. Patients and Methods: We retrospectively collected data of 247 patients with invasive breast from the Affiliated Hospital of Jiangnan University. The state of axillary lymph node (ALN) metastasis was confirmed by pathological diagnosis. Clinicopathological data (age, ER, PR, HER2, Ki67 expression levels, diapause status, weight, histological grade, vascular invasion, and state of axillary lymph node) were compared between differences of SII and PIV groups and an association between clinical indexes and ALN metastasis was evaluated. Results: The cut-off values of SII and PIV were 320.04 and 92.01, respectively. The significant difference between vascular invasion ( Conclusion: High levels of SII, PIV, LVI, and HER2 are the risk factors for axillary lymph node metastases in breast cancer patients.

Indexed as

axillary lymph node metastasesbreast cancerpan-immune-inflammation-valuesystemic immune-inflammation-index

Identifiers

PMID37287504
PMCPMC10243606
OpenAlexW4379229275

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.