Evidence map›Paper›PMID 31148950›Full record

ReviewMediators of inflammation2019

Mean Platelet Volume (MPV): New Perspectives for an Old Marker in the Course and Prognosis of Inflammatory Conditions.

Aleksandra Korniluk, Olga Martyna Koper-Lenkiewicz, Joanna Kamińska, Halina Kemona, Violetta Dymicka-Piekarska

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Mediators of inflammation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04408378 (Retrospective Change in the Ratio of Mean Platelet Volume), which is not on this map. Cited by 274 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
274citing papers in PubMed, 5 pooled it
26.0field-weighted citation impact, top 1% of its field
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.

NCT04408378 unknown statusnot on this mapstarted 2020, after this paper: background citation

Retrospective Change in the Ratio of Mean Platelet Volume (MPV) to Platellet(PLT) in Covid-19 Pneumonia Patients

TypeobservationalSponsorGaziosmanpasa Research and Education HospitalRan2020 to 2020Enrolled156ConditionsCoronavirus InfectionArmsobservation of covid 19 pneumonia
3 · Its place in the literature

Who cites it

274 citing papers in PubMed, 5 syntheses or guidelines pooled it, 539 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Hematologic markers and machine learning in predicting placenta accreta: A case-control study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article

214 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Aleksandra KornilukDepartment of Clinical Laboratory Diagnostics, Medical University of Bialystok, ul. Waszyngtona 15A, 15-276 Białystok, Poland.
Olga Martyna Koper-LenkiewiczDepartment of Clinical Laboratory Diagnostics, Medical University of Bialystok, ul. Waszyngtona 15A, 15-276 Białystok, Poland.ORCID 0000-0001-5199-2773
Joanna KamińskaDepartment of Clinical Laboratory Diagnostics, Medical University of Bialystok, ul. Waszyngtona 15A, 15-276 Białystok, Poland.
Halina KemonaDepartment of Clinical Laboratory Diagnostics, Medical University of Bialystok, ul. Waszyngtona 15A, 15-276 Białystok, Poland.
Violetta Dymicka-PiekarskaDepartment of Clinical Laboratory Diagnostics, Medical University of Bialystok, ul. Waszyngtona 15A, 15-276 Białystok, Poland.ORCID 0000-0003-4170-0997
Medical University of Białystok · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Platelet size has been demonstrated to reflect platelet activity and seems to be a useful predictive and prognostic biomarker of cardiovascular events. It is associated with a variety of prothrombotic and proinflammatory diseases. The aim is a review of literature reports concerning changes in the mean platelet volume (MPV) and its possible role as a biomarker in inflammatory processes and neoplastic diseases. PubMed database was searched for sources using the following keywords: platelet activation, platelet count, mean platelet volume and: inflammation, cancer/tumor, cardiovascular diseases, myocardial infarction, diabetes, lupus disease, rheumatoid arthritis, tuberculosis, ulcerative colitis, renal disease, pulmonary disease, influencing factors, age, gender, genetic factors, oral contraceptives, smoking, lifestyle, methods, standardization, and hematological analyzer. Preference was given to the sources which were published within the past 20 years. Increased MPV was observed in cardiovascular diseases, cerebral stroke, respiratory diseases, chronic renal failure, intestine diseases, rheumatoid diseases, diabetes, and various cancers. Decreased MPV was noted in tuberculosis during disease exacerbation, ulcerative colitis, SLE in adult, and different neoplastic diseases. The study of MPV can provide important information on the course and prognosis in many inflammatory conditions. Therefore, from the clinical point of view, it would be interesting to establish an MPV cut-off value indicating the intensity of inflammatory process, presence of the disease, increased risk of disease development, increased risk of thrombotic complications, increased risk of death, and patient's response on applied treatment. Nevertheless, this aspect of MPV evaluation allowing its use in clinical practice is limited and requires further studies.

Indexed as

BiomarkersBlood PlateletsDiabetes MellitusFemaleHumansInflammationMaleMean Platelet VolumeMyocardial InfarctionPlatelet ActivationPlatelet CountBiomarkers

Identifiers

PMID31148950
PMCPMC6501263
OpenAlexW2936452886

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.