ArticleAsian Pacific journal of cancer prevention : APJCP2018
Prostate Specific Antigen, Mean Platelet Volume, and Platelet Distribution Width in Combination to Discriminate Prostate Cancer from Benign Prostate Hyperplasia
Article in Asian Pacific journal of cancer prevention : APJCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Predictive diagnostic value of mean platelet volume to platelet count and neutrophil to lymphocyte ratios in the gray zone of prostate cancer with tPSA between 4 to 10 ng/mL.Frontiers in oncology · 2024Article
- Mean Platelet Volume Enhances the Diagnostic Specificity of PSA for Prostate Cancer.Frontiers in surgery · 2022Article
- Assessment of the utility of platelet indices to diagnose clinical benign prostatic hyperplasia in dogs.Frontiers in veterinary science · 2022Article
- Platelets: The Emerging Clinical Diagnostics and Therapy Selection of Cancer Liquid Biopsies.OncoTargets and therapy · 2021Review
- A predictive model for prostate cancer incorporating PSA molecular forms and age.Scientific reports · 2020Article
- Biomarkers That Differentiate Benign Prostatic Hyperplasia from Prostate Cancer: A Literature Review.Cancer management and research · 2020Review
- The Value of Prostate-Specific Antigen-Related Indexes and Imaging Screening in the Diagnosis of Prostate Cancer.Cancer management and research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Prostate cancer (PCa) represents the second most commonly diagnosed malignancy and the sixth leading cause for cancer related death among men worldwide. Although use of the prostate specific antigen (PSA) as a diagnostic marker has improved the detection and management of PCa, low specificity and sensitivity has limited its clinical efficacy. Moreover, elevated PSA is frequently observed in benign prostate hyperplasia (BPH). Mean platelet volume (MPV) and platelet distribution width (PDW) are commonly used indicators of platelet activation. The purpose of current study was to investigate the ability of PSA, MPV, and PDW individually or in combination, to differentiate PCa from BPH. Materials and Methods: This study included 100 patients with PCa and 108 patients with BPH. We collected all participants’ clinical and laboratory characteristics. The benefit of adding MPV and PDW to a model with only PSA was evaluated as an increased in the area under the curve (AUC) obtained by receiver operating curve (ROC). Results: PCa patients had reduced MPV and elevated PSA and PDW levels compared to BPH patients. Single biomarkers had AUC values ranging from 0.683 for PDW to 0.865 for PSA. Moreover, the combination of PSA, MPV, and PDW increased the AUC to 0.935 (0.892-0.964) (p<0.0001), significantly higher than those of any single marker. Conclusions: The combined use of PSA, MPV, and PDW may be clinically useful in distinguishing between PCa and BPH.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.