Evidence map›Paper›PMID 33654417›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Increased Incidence of Pediatric Diabetic Ketoacidosis After COVID-19: A Two-Center Retrospective Study in Korea.

Min Jeong Han, Jun Ho Heo

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Min Jeong HanDepartment of Pediatrics, Chonbuk National University Hospital, Jeonju, 54907, Korea.
Jun Ho HeoDepartment of Emergency Medicine, Wonkwang National University Hospital, Iksan, 54887, Korea.
Jeonbuk National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe evaluated the clinical characteristics and severity of diabetic ketoacidosis (DKA) in children before and after the coronavirus disease 2019 (COVID-19) outbreak to identify its indirect effects on DKA incidence. PATIENTS AND

methodsThis retrospective study included 19 children with DKA admitted to the emergency room (ER) in two centers in Jeonbuk province, Korea during the first 6 months of the year from 2017 to 2020. Data were collected on age, height, body weight, clinical symptoms, diabetic mellitus (DM) type, and laboratory findings. DKA severity was based on the presence of acute kidney injury, cerebrovascular accident, and altered mental status. The ratio of patients with DKA in all pediatric patients who visited the study ERs and in the Jeonbuk population was also determined.

resultsThere were no differences in anthropometric characteristics and complication rates between the pre-COVID-19 and COVID-19 periods; however, the rate of polydipsia was significantly higher in the COVID-19 period. All seven patients admitted during the COVID-19 pandemic (100%) had polydipsia and polyuria and were newly diagnosed with DM. The rate of pediatric patients with DKA admitted to the ER in 2020 (0.459%) was more than twice the mean rate of 0.206% for the four-year period. The incidence of DKA in the Jeonbuk population (0.00141%) also exceeded the mean rate (0.0009%).

conclusionThe incidence of pediatric DKA might be higher due to the indirect effect of COVID-19 pandemic. Physicians should be aware of nonspecific symptoms related to DKA in children admitted to the ER.

Indexed as

coronavirus disease 2019diabetesdiabetic ketoacidosispediatric diabetes

Identifiers

PMID33654417
PMCPMC7910085
OpenAlexW3130113532

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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.