Evidence map›Paper›PMID 36460989›Full record

ArticleBMC endocrine disorders2022

Clinical, hormonal, and biochemical characteristics of 70 chinese children with moderate to severe type 1 diabetic ketoacidosis.

Qingxu Liu, Xiaoqin Yin, Pin Li

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

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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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

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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

3 authors.

Qingxu LiuDepartment of Endocrinology, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, 200062, Shanghai, People's Republic of China.
Xiaoqin YinDepartment of Endocrinology, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, 200062, Shanghai, People's Republic of China.
Pin LiDepartment of Endocrinology, Shanghai Children's Hospital, School of medicine, Shanghai Jiao Tong University, 200062, Shanghai, People's Republic of China. lipin2019@126.com.

Funding

National Natural Science Foundation of China 81871131
6 · The paper itself

Abstract

backgroundDiabetic ketoacidosis (DKA) is one of the most severe acute complications of type 1 diabetes mellitus (T1DM). Patients with DKA of different severities may have different clinical manifestations, serum biochemical levels and hormone changes.

methodsWe retrospectively evaluated the clinical manifestations, serum hormone levels, and biochemical levels of 70 Chinese patients with moderate to severe type 1 DKA in the acute and recovery phases admitted to Shanghai Children's Hospital from 2015 to 2020.

resultsThe time required for acidosis correction in 37 patients with severe DKA was 5.9 h longer than that in 33 patients with moderate DKA (P < 0.001). In addition, serum levels of serum ionized calcium (P = 0.003), free triiodothyronine (FT3) (P = 0.029), white blood cells (WBCs) (P = 0.044), and triglycerides (TGs) (P = 0.002) were significantly different between patients with moderate and severe DKA. Serum levels of ionized calcium decreased significantly after recovery from severe DKA. Within 1 week, thyroid hormone and blood lipid levels recovered to normal ranges without intervention.

conclusionPatients with severe DKA had higher acidosis correction times, higher WBC counts, TGs and ionized calcium levels, and lower FT3 levels than patients with moderate DKA. No additional intervention was required for thyroid hormone, and blood lipid and serum ionized calcium levels recovered to the normal range.

Indexed as

Diabetes Mellitus, Type 1Diabetic KetoacidosisCalciumChildChinaHumansRetrospective StudiesTriglyceridesTriiodothyronineCalciumTriglyceridesTriiodothyronineBlood lipidsDiabetic ketoacidosisIonized calciumThyroid functionType 1 diabetes mellitus

Identifiers

PMID36460989
PMCPMC9717516

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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.