Evidence map›Paper›PMID 30198864›Full record

ArticleCancer biomarkers : section A of Disease markers2018

Preoperative platelet distribution width predicts breast cancer survival.

Yiru Huang, Ming-Ming Cui, Yuan-Xi Huang, Shuang Fu, Xin Zhang, Hongbo Guo, Rui-Tao Wang

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

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  14. [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

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

7 authors.

Yiru HuangThe National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Department of Neurosurgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510282, China.
Ming-Ming CuiDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Yuan-Xi HuangDepartment of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150086, China.
Shuang FuDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Xin ZhangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Hongbo GuoThe National Key Clinical Specialty, The Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Department of Neurosurgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510282, China.
Rui-Tao WangDepartment of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is one of the most commonly diagnosed cancers, and the fourth leading cause of cancer deaths in females worldwide. Activated platelets play a key role in tumor growth and tumor metastasis. Platelet distribution width (PDW) is a platelet index, and is altered in patients with malignancies. The aim of this study was to explore whether PDW can effectively predict death outcome of breast cancer patients. STUDY

designThe clinical data of 271 breast cancer patients in our hospital between January 2009 and December 2009 were retrospectively analyzed. Survival analysis was performed using the log-rank test and Cox proportional hazards regression analysis.

resultThere were significant correlations between increased PDW and tumor size, molecular subtype, differentiation grade, and cancer stages (T, N, or TNM). Moreover, survival analysis revealed that the overall survival of patients with PDW > 16.8%, which was significantly shorter than those with PDW ⩽ 16.8%. Multivariate analysis indicated that PDW > 16.8% predicts a poor overall survival of breast cancer patients.

conclusionsElevated PDW may serve as a marker of adverse prognosis in breast cancer. However, these data are preliminary and should be interpreted with caution pending validation by additional clinical and molecular/genomics studies in various populations.

Indexed as

Mean Platelet VolumePlatelet CountAdultAgedBiomarkersBiomarkers, TumorBreast NeoplasmsFemaleHumansMiddle AgedNeoplasm StagingPreoperative PeriodPrognosisRetrospective StudiesRisk FactorsROC CurveBiomarkersBiomarkers, TumorBreast cancerplatelet distribution widthprognosis

Identifiers

PMID30198864
PMCPMC13078536

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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.