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Title

Mean platelet volume: A versatile biomarker in clinical diagnostics and prognostics

 

Authors

Garima Anandani1, Parth Goswami1,*, Vaishali Bhankhodia1 & Rushang Dave2

 

Affiliation

1Department of Pathology, AIIMS Rajkot, Gujarat, India; 2Department of Pathology, Shantabaa Medical College, Amreli, Gujarat, India; *Corresponding author

 

Email

Garima Anandani - E - mail: garima_anandani@yahoo.in

Parth Goswami - E - mail: goswamiparth42@gmail.com
Vaishali Bhankhodia - E - mail: vaishalibhankhodia@gmail.com
Rushang Dave - E - mail: ravidave94085@gmail.com

 

Article Type

Review

 

Date

Received April 1, 2025; Revised April 30, 2025; Accepted April 30, 2025, Published April 30, 2025

 

Abstract

The medical field uses mean platelet volume (MPV) measurements as an essential diagnostic and monitoring indicator for diagnosing and following different conditions that include thrombotic and inflammatory diseases with diabetes and other hematological conditions. High mean platelet volume directly correlate with advanced medical conditions in cancer treatments as well as blood-related diseases which include platelet deficiencies. Mean platelet volume increases with inflammatory infections while offering important information about preeclampsia cases in pregnant women. Therefore, the mean platelet volume measurement enables assessment of platelet regulatory processes between production and destruction rate. Thus, this measurement allows healthcare providers to make better decisions regarding patient disease assessment and management.

 

Keywords

Mean platelet volume, thrombopoiesis, diagnostic markers, prognostic markers and disease monitoring

 

Citation

Anandani et al. Bioinformation 21(4): 783-788 (2025)

 

Edited by

Hiroj Bagde MDS, (PhD), PGDCR, PGDHHM, PGDL, PGDM

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.