Evidence map›Paper›PMID 38974291›Full record

ArticleAfrican health sciences2023

Platelet indices in children with type 1 diabetes mellitus: a simple glucoregulation monitoring tool.

Dejan Dobrijević, Jelena Antić, Goran Rakić, Ljiljana Andrijević

Abstract read
In one paragraph

Article in African health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Dejan DobrijevićUniversity of Novi Sad, Faculty of Medicine, Novi Sad, Serbia; Institute for Child and Youth Health Care of Vojvodina, Novi Sad, Serbia.
Jelena AntićUniversity of Novi Sad, Faculty of Medicine, Novi Sad, Serbia; Institute for Child and Youth Health Care of Vojvodina, Novi Sad, Serbia.
Goran RakićUniversity of Novi Sad, Faculty of Medicine, Novi Sad, Serbia; Institute for Child and Youth Health Care of Vojvodina, Novi Sad, Serbia.
Ljiljana AndrijevićUniversity of Novi Sad, Faculty of Medicine, Novi Sad, Serbia; Institute for Child and Youth Health Care of Vojvodina, Novi Sad, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Long-term hyperglycemia can lead to changes in the function and morphology of platelets. Objective: This study aimed to test the potential glucoregulation monitoring properties of platelet indices, mean platelet volume (MPV) and platelet distribution width (PDW), in children with type 1 diabetes mellitus (T1DM). Methods: The study included 453 patients below the age of 18 with T1DM treated at the Institute for Child and Youth Health Care of Vojvodina. Children were divided into two groups, according to their glucoregulation quality, i.e., glycated hemoglobin (HbA1c) levels. Descriptive and inferential statistical analyses were performed. Results: MPV and PDW were found to be important in predicting poor glucoregulation, both in independent and conjoint analysis. Proposed cut-off values for MPV and PDW in the glucose control monitoring of children with T1DM were 7.6 fL and 14.4%, respectively. Conclusion: Our study showed that MPV and PDW have monitoring properties in terms of glucose control in children with T1DM. Additionally, our study emphasizes the importance of selecting the most convenient control group in order to avoid misleading conclusions.

Indexed as

Blood GlucoseBlood PlateletsDiabetes Mellitus, Type 1Glycated HemoglobinMean Platelet VolumeAdolescentChildChild, PreschoolFemaleHumansMaleBlood GlucoseGlycated Hemoglobinchildrencontrol groupDiabetes mellitusinflammationlaboratory diagnosisplatelet

Identifiers

PMID38974291
PMCPMC11225493

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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.