Evidence map›Paper›PMID 40290249›Full record

ArticlePakistan journal of medical sciences2025

The prognostic value of mean platelet volume levels in germinal matrix hemorrhage- intraventricular hemorrhage in preterm infants.

Ipek Guney Varal, Ezgi Deniz Acar Celik, Pelin Dogan, Gaffari Tunc, Ayse Oren

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Ipek Guney VaralIpek Guney Varal Division of Neonatology, Department of Paediatrics, University of Health Sciences, Bursa Yuksek Ihtisas Teaching Hospital, Bursa, Turkey.
Ezgi Deniz Acar CelikEzgi Deniz Acar Celik Department of Paediatrics, University of Health Sciences, Bursa Yuksek Ihtisas Teaching Hospital, Bursa, Turkey.
Pelin DoganPelin Dogan Division of Neonatology, Department of Paediatrics, University of Health Sciences, Bursa Yuksek Ihtisas Teaching Hospital, Bursa, Turkey.
Gaffari TuncGaffari Tunc Division of Neonatology, Department of Paediatrics, University of Health Sciences, Bursa Yuksek Ihtisas Teaching Hospital, Bursa, Turkey.
Ayse OrenAyse Oren Division of Neonatology, Department of Paediatrics, University of Health Sciences, Bursa Yuksek Ihtisas Teaching Hospital, Bursa, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Germinal matrix hemorrhage and intraventricular hemorrhage (GMH-IVH) is currently the most significant cause of brain damage and mortality seen in preterm infants. The aim of this study was to evaluate the predictive value of mean platelet volume (MPV) in diagnosing GMH-IVH and mortality. Method: A retrospective-cohort study of preterm infants with a gestational age <32 weeks or with birthweight <1500gr who were admitted to the Neonatal Intensive Care Unit was conducted between January 2020 and January 2022. These infants were then classified into two groups according to the presence of GMH-IVH. Results: Overall, 136 preterm infants were enrolled. The MPV levels were significantly higher in the GMH-IVH group (p <0.001). A MPV cutoff of >9.95 was determined to be predictive for GMH-IVH with sensitivity of 62% and specificity of 80% (p < 0.001). Mortality was significantly higher in the GMH-IVH group (p<0.001). A MPV cutoff of >10.55 fL was determined to predict mortality with 77% sensitivity and 70% specificity (p < 0.001). Conclusions: The MPV value is significantly higher in infants with GMH-IVH and therefore can be used in the prediction of GMH-IVH and mortality in preterm infants.

Indexed as

Germinal matrixIntraventricular hemorrhageMean platelet volumeNeonatePreterm

Identifiers

PMID40290249
PMCPMC12022600

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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.