Evidence map›Paper›PMID 38654371›Full record

ArticleJournal of health, population, and nutrition2024

Severity of COVID-19 infection in patients with COVID-19 combined with diabetes.

Dan Lu, Yuhong Liu, Pengcheng Ma, Rui Hou, Jin Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 31% 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.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Dan Lu *Department of Radiology, Yan'an Hospital Affiliated to Kunming Medical University, No. 245 Renmin East Road, Panlong District, 650051, Kunming, Yunnan, China.
Yuhong Liu *Department of Radiology, Yan'an Hospital Affiliated to Kunming Medical University, No. 245 Renmin East Road, Panlong District, 650051, Kunming, Yunnan, China.
Pengcheng MaDepartment of Radiology, Yan'an Hospital Affiliated to Kunming Medical University, No. 245 Renmin East Road, Panlong District, 650051, Kunming, Yunnan, China.
Rui HouDepartment of Radiology, Yan'an Hospital Affiliated to Kunming Medical University, No. 245 Renmin East Road, Panlong District, 650051, Kunming, Yunnan, China.
Jin WangDepartment of Radiology, Yan'an Hospital Affiliated to Kunming Medical University, No. 245 Renmin East Road, Panlong District, 650051, Kunming, Yunnan, China. Jinwang3133w@163.com.
Yan'an Hospital Affiliated To Kunming Medical University · CNKunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to analyse the correlation between blood glucose control and the severity of COVID-19 infection in patients with diabetes.

methodsClinical and imaging data of a total of 146 patients with diabetes combined with COVID-19 who visited our hospital between December 2022 and January 2023 were retrospectively collected. The patients were divided into the 'good blood glucose control' group and the 'poor blood glucose control' group based on an assessment of their blood glucose control. The clinical data, computed tomography (CT) appearance and score and the severity of COVID-19 infection of the two groups were compared, with the severity of COVID-19 infection being the dependent variable to analyse other influencing factors.

resultsThe group with poor blood glucose control showed a higher lobar involvement degree and total CT severity score (CTSS) than the group with good blood glucose control (13.30 ± 5.25 vs. 10.38 ± 4.84, p < 0.05). The two groups exhibited no statistically significant differences in blood lymphocyte, leukocyte, C-reaction protein, pleural effusion, consolidation, ground glass opacity or crazy-paving signs. Logistic regression analysis showed that the total CTSS significantly influences the clinical severity of patients (odds ratio 1.585, p < 0.05), whereas fasting plasma glucose and blood glucose control are not independent factors influencing clinical severity (both p > 0.05). The area under the curve (AUC) of CTSS prediction of critical COVID-19 was 0.895 with sensitivity of 79.3% and specificity of 88.1% when the threshold value is 12.

conclusionBlood glucose control is significantly correlated with the CTSS; the higher the blood glucose is, the more severe the lung manifestation. The CTSS can also be used to evaluate and predict the clinical severity of COVID-19.

Indexed as

Blood GlucoseCOVID-19Severity of Illness IndexTomography, X-Ray ComputedAdultAgedDiabetes MellitusFemaleHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2Blood GlucoseComputed tomography severity scoreCOVID-19DiabetesPoor blood glucose controlTomography

Identifiers

PMID38654371
PMCPMC11040919
OpenAlexW4395050787

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.