Evidence map›Paper›PMID 35116875›Full record

ArticleTranslational cancer research2019

Prognostic values of platelet-associated indicators in advanced breast cancer.

Yu-Jie Lu, Meng-Ting Cui, Zhan-Wen Liang, Wen-Jie Wang, Min Jiang, Meng-Dan Xu, Meng-Yao Wu, Meng Shen, Wei Li, Yuan Gao and 2 more

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Article in Translational cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

12 authors.

Yu-Jie Lu *Department of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Meng-Ting Cui *Department of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Zhan-Wen Liang *Department of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Wen-Jie WangDepartment of Radio-Oncology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou 215001, China.
Min JiangDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Meng-Dan XuDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Meng-Yao WuDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Meng ShenDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Wei LiDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Yuan GaoDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Lian LianDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Wei-Ming DuanDepartment of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is the leading cause of cancer death in the female population. Platelet-related indicators can be used as prognostic markers of cancers. The present study investigated the potential values of platelet count (PLT), plateletcrit (PCT), mean platelet volume (MPV), platelet distribution width (PDW), and platelet to lymphocyte ratio (PLR) in the prognosis of advanced breast cancer (ABC).

methodsThis retrospective study recruited 94 locally advanced or metastatic breast cancer cases who had histologic and cytologic evidence. The patients were divided into two groups according to the median baseline values of PLT, PCT, MPV, PDW, and PLR. To evaluate the individual value changes after treatment, we introduced the concept of post/pre-treatment ratio (≤1 indicated value was not increased after treatment, while >1 suggested increased value). Responses to chemotherapy, including partial response (PR), stable disease (SD), and progressive disease (PD), were recorded. Kaplan-Meier curves were constructed to show overall survival (OS). Univariate and multivariate Cox regression analysis models were employed to identify the independent risk factors.

resultsA lower baseline PCT level was correlated with a better OS. A lower baseline PLT level and a higher baseline PDW level were related to better chemotherapeutic efficacy of breast cancer patients. Univariate analysis and multivariate analysis both revealed that a higher baseline PCT level was an independent prognostic factor for OS.

conclusionsPCT level may be a potential prognosis factor for ABC.

Indexed as

Breast cancerplatelet count (PLT)plateletcrit (PCT)prognosis

Identifiers

PMID35116875
PMCPMC8798875

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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.