ArticleAsian Pacific journal of cancer prevention : APJCP2025
Validation of Platelet-index based Score (PIBS) for Early Prediction of the Pathological Stage in Colorectal Cancer.
Article in Asian Pacific journal of cancer prevention : APJCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAccurate staging is essential in colorectal cancer (CRC) management. Platelet indices have emerged as promising biomarkers of tumor burden and progression. This study aimed to validate the Platelet Index-Based Score (PIBS-CRC), a machine learning-based model using platelet parameters, for predicting the pathological TNM stage of CRC. MATERIALS AND
methodsA cross-sectional study was conducted involving 116 patients with histologically confirmed CRC. Preoperative platelet indices platelet count (PLT), platelet distribution width (PDW), mean platelet volume (MPV), and plateletcrit (PCT) were input into the PIBS-CRC model. The model's prediction was then compared with the final pathological TNM stage (AJCC 8th edition). Diagnostic performance was assessed using confusion matrix and classification metrics.
resultsThe PIBS-CRC score showed strong performance, with an overall accuracy of 87%, precision of 87%, F1-score of 88%, and Matthews Correlation Coefficient (MCC) of 0.81. The model accurately predicted stages I, III, and IV, though some misclassification occurred between stages II and III. PLT and PCT were significantly associated with advancing TNM stage (p < 0.001).
conclusionThe PIBS-CRC model is a reliable, non-invasive tool for predicting pathological CRC stages using routine blood tests. It is particularly useful for early-stage detection and may serve as a practical adjunct in clinical settings with limited diagnostic resources.
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.