Evidence map›Paper›PMID 32765104›Full record

ArticleCancer management and research2020

Elevated Platelet Count Predicts Poor Prognosis in Breast Cancer Patients with Supraclavicular Lymph Node Metastasis.

Shaoqing Liu, Jing Fang, Dechuang Jiao, Zhenzhen Liu

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.3field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

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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

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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

22 citing papers in PubMed, 25 citations in OpenAlex.

  1. Platelets as regulators of cancer immunity: mechanisms and therapeutic perspectives.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  20. [Prognostic value of preoperative platelet parameters in locally advanced renal cell carcinoma].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2021
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4 · The record

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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

4 authors at 1 institution in 1 country.

Shaoqing LiuDepartment of Breast Surgery, Breast Cancer Center, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Jing FangDepartment of Breast Surgery, Breast Cancer Center, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.ORCID 0000-0001-9028-3080
Dechuang JiaoDepartment of Breast Surgery, Breast Cancer Center, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Zhenzhen LiuDepartment of Breast Surgery, Breast Cancer Center, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore and more studies show that platelets are closely related to the occurrence and development of tumors. This study aims to explore the predictive value of peripheral blood platelet count on the prognosis of breast cancer patients with ipsilateral supraclavicular lymph node (ISLN) metastasis.

methodsEighty-five breast cancer patients with ISLN metastasis in the Affiliated Cancer Hospital of Zhengzhou University were collected retrospectively in this study. Chi-square test was used to analyze the correlation between clinical pathological data and platelet count. DFS rate was estimated by K-M curve and Log Rank test was performed. Univariate and multivariate Cox regression were used to determine the prognostic value of platelets. Time-dependent Cox regression was used to further analyze the correlation between peripheral blood platelets and prognosis to determine the stability of the results.

resultsThe pathological complete response rate of ISLN after neoadjuvant chemotherapy (NAC) was 51.8%. Platelet count was correlated with PR status of breast cancer at first visit (

conclusionPlatelets have important predictive value for the prognosis of breast cancer patients with ISLN metastasis, which indicates that platelet count can be used to distinguish high-risk patients so as to obtain clinical benefits.

Indexed as

ipsilateral supraclavicular lymph nodesneoadjuvant chemotherapyplateletprognosis

Identifiers

PMID32765104
PMCPMC7381764
OpenAlexW3042640928

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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.