Evidence map›Paper›PMID 30871415›Full record

ArticleTechnology in cancer research & treatment2019

Prognostic Values of Platelet-Associated Indicators in Resectable Lung Cancers.

Jing-Jing Wang, Yin-Ling Wang, Xin-Xin Ge, Meng-Dan Xu, Kai Chen, Meng-Yao Wu, Fei-Ran Gong, Min Tao, Wen-Jie Wang, Liu-Mei Shou and 1 more

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.8field-weighted citation impact, top 13% 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, 3 syntheses or guidelines pooled it, 25 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

11 authors at 3 institutions in 1 country.

Jing-Jing Wang1 Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yin-Ling Wang1 Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xin-Xin Ge1 Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Meng-Dan Xu1 Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Kai Chen1 Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Meng-Yao Wu1 Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Fei-Ran Gong3 Department of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Min Tao1 Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Wen-Jie Wang1 Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Liu-Mei Shou6 Department of Oncology, The First Affiliated Hospital of Zhejiang Chinese Medicine University, Hangzhou, China.
Wei Li1 Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.ORCID 0000-0002-0746-1091
Soochow University · CNWenzhou Medical University · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer death. Platelet-related indictors, including platelet count, plateletcrit, mean platelet volume, and platelet distribution width, not only associate with morphology and functions of platelet but also correlate with tumor development and metastasis. In the present study, we investigated the values of platelet-related indictors in the prognosis evaluation of resectable lung cancers.

methodsIn total, 101 patients with resectable lung cancer were recruited in this study. Patients were divided into 2 groups according to the median pretreatment values. To evaluate the individual value changes after treatment, we introduced the concept of post-/pretreatment ratio (≤1 indicated value was not increased after treatment, while >1 suggested increased value).

resultsThe high pretreatment platelet count level was correlated with larger tumor size. High pretreatment plateletcrit level was associated with more lymph nodes metastasis. Patients with high pretreatment plateletcrit level had worse overall survival, whereas pretreatment platelet count, mean platelet volume, and platelet distribution width levels were not correlated with outcomes. Surgery had no impact on the values of platelet count, plateletcrit, mean platelet volume, or platelet distribution width. Adjuvant chemotherapy significantly decreased the values of platelet count and plateletcrit, whereas it had no effect on the values of mean platelet volume or platelet distribution width. Whole course of treatment (surgery combined with adjuvant chemotherapy) significantly decreased the values of platelet count and platelet distribution width, whereas it had no effect on the values of plateletcrit or mean platelet volume. Post-/pretreatment platelet count, plateletcrit, mean platelet volume, and platelet distribution width ratios were not correlated with outcomes. Univariate analyses demonstrated that American Joint Committee on Cancer stage and pretreatment plateletcrit level were significant risk factors for prognosis. Cox regression analysis revealed that no factor independently associated with worse survival.

conclusionPretreatment plateletcrit level could be a potential prognostic factor in resectable lung cancers.

Indexed as

Blood PlateletsCarcinoma, Non-Small-Cell LungFemaleFollow-Up StudiesHumansLung NeoplasmsLymphatic MetastasisMaleMean Platelet VolumeMiddle AgedNeoplasm InvasivenessPrognosisRetrospective StudiesSmall Cell Lung CarcinomaSurvival Ratelung cancerMPVPCTPDWPLTprognosis

Identifiers

PMID30871415
PMCPMC6421614
OpenAlexW2921838623

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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.