Evidence map›Paper›PMID 32623037›Full record

ArticleDiabetes research and clinical practice2020

A novel indicator predicts 2019 novel coronavirus infection in subjects with diabetes.

Aclan Ozder

Erratum issuedAbstract read
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Article in Diabetes research and clinical practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Aclan OzderFamily Medicine, Bezmialem Vakif University, Istanbul, Turkey; Bezmialem Vakif University, Adnan Menderes Boulevard, No: 1, Fatih, Istanbul 34093, Turkey. Electronic address: aclan.ozder@aol.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDiabetes mellitus (DM) is associated with significant morbidity and mortality. The disease severity in 2019 novel coronavirus (Covid 19) infection has varied from mild self-limiting flu-like illness to fulminant pneumonia, respiratory failure and death. Since DM and Covid 19 infection are closely associated with inflammatory status, mean platelet volume (MPV) was suggested to be useful in predicting Covid infection onset. This study aimed to evaluate the diagnostic role of MPV in Covid patients with diabetes.

methodsA total of 640 subjects (160 Covid patients with type 2 diabetes, 160 healthy controls, 160 patients with non-spesific infections and 160 Covid patients without type 2 diabetes) enrolled in the study.

resultsMPV was significantly higher (11.21 ± 0.61 fL) as compared to the results from the last routine visits of the the same individuals with diabetes (10.59 ± 0.96 fL) (p = 0.000).

conclusionsMPV could be used as a simple and cost-effective tool to predict the Covid infection in subjects with diabetes in primary care.

Indexed as

BetacoronavirusCase-Control StudiesCoronavirus InfectionsCOVID-19Diabetes Mellitus, Type 2FemaleHumansMaleMean Platelet VolumeMiddle AgedPandemicsPneumonia, ViralSARS-CoV-2Turkey2019-nCoVCovidDiabetesMPVPrimary care

Identifiers

PMID32623037
PMCPMC7332455

What OpenQuestion holds

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Registered trials

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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.