Evidence map›Paper›PMID 29216259›Full record

ArticlePloS one2017

The prognostic impact of the platelet distribution width-to-platelet count ratio in patients with breast cancer.

Hideya Takeuchi, Miyuki Abe, Yohei Takumi, Takafumi Hashimoto, Ryoji Kobayashi, Atsushi Osoegawa, Michiyo Miyawaki, Tatsuro Okamoto, Kenji Sugio

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Prognostic Value and Clinicopathologic Features of Platelet Distribution Width in Cancer: A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Pooled it
  3. Trial
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors.

Hideya TakeuchiDepartment of Thoracic and Breast Surgery, Oita University Faculty of Medicine, Oita, Japan.ORCID http://orcid.org/0000-0001-6847-4518
Miyuki AbeDepartment of Thoracic and Breast Surgery, Oita University Faculty of Medicine, Oita, Japan.
Yohei TakumiDepartment of Thoracic and Breast Surgery, Oita University Faculty of Medicine, Oita, Japan.
Takafumi HashimotoDepartment of Thoracic and Breast Surgery, Oita University Faculty of Medicine, Oita, Japan.
Ryoji KobayashiDepartment of Thoracic and Breast Surgery, Oita University Faculty of Medicine, Oita, Japan.
Atsushi OsoegawaDepartment of Thoracic and Breast Surgery, Oita University Faculty of Medicine, Oita, Japan.
Michiyo MiyawakiDepartment of Thoracic and Breast Surgery, Oita University Faculty of Medicine, Oita, Japan.
Tatsuro OkamotoDepartment of Thoracic and Breast Surgery, Oita University Faculty of Medicine, Oita, Japan.
Kenji SugioDepartment of Thoracic and Breast Surgery, Oita University Faculty of Medicine, Oita, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Activated platelets promote tumor cell growth, angiogenesis, and invasion. Platelet activity can be inferred by platelet volume indices (PVIs), which include platelet distribution width (PDW), mean platelet volume (MPV), platelet distribution width-to-platelet count ratio (PDW/P), and mean platelet volume-to-platelet count ratio. Platelets and platelet-related markers, such as the platelet-to-lymphocyte ratio, have been found to be significant prognostic factors in patients with breast cancer. However, the role of PVIs for predicting survival in breast cancer remains unknown; hence, we performed this retrospective analysis of 275 patients with breast cancer. PVIs were compared with clinicopathological variables, and were assessed to identify independent indicators associated with disease-free survival (DFS) using the Cox proportional hazards model. An elevated PDW/P significantly correlated with age and HER2 status. Univariate analysis revealed that elevated PDW, MPV, and PDW/P as well as tumor size, nuclear grade, and lymph node involvement were significantly associated with inferior DFS rates (tumor size: p<0.01; nuclear grade, lymph node involvement, PDW, MPV, and PDW/P: p<0.05). On multivariate analysis, a large tumor size and elevated PDW/P were significant prognostic factors for DFS, with hazard ratios of 3.24 (95% confidence interval [CI]: 1.24-8.47) and 2.99 (95% CI: 1.18-7.57), respectively (p<0.05). Our study is the first to reveal that an elevated PDW/P significantly reduces DFS in patients with breast carcinoma. Measuring the PDW/P is simple, relatively inexpensive, and almost universally available using routine blood counts; this makes it an attractive biomarker for improved risk assessment.

Indexed as

Platelet CountBreast NeoplasmsFemaleHumansMiddle AgedPrognosisRetrospective StudiesSurvival Analysis

Identifiers

PMID29216259
PMCPMC5720724

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.