Evidence map›Paper›PMID 37035234›Full record

ArticleWorld journal of diabetes2023

Clinical and biochemical predictors of intensive care unit admission among patients with diabetic ketoacidosis.

Adeel Ahmad Khan, Fateen Ata, Phool Iqbal, Mohammed Bashir, Anand Kartha

Open access · diamondAbstract read
In one paragraph

Article in World journal of diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 2 institutions in 2 countries.

Adeel Ahmad KhanDepartment of Endocrinology, Hamad Medical Corporation, Doha 00000, Qatar.
Fateen AtaDepartment of Endocrinology, Hamad Medical Corporation, Doha 00000, Qatar. docfateenata@gmail.com.
Phool IqbalDepartment of Medicine, Metropolitan Hospital Center, New York, NY 10595, United States.
Mohammed BashirDepartment of Endocrinology, Hamad Medical Corporation, Doha 00000, Qatar.
Anand KarthaDepartment of Medicine, Hamad Medical Corporation, Doha 00000, Qatar.
Hamad Medical Corporation · QAMetropolitan Hospital Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic ketoacidosis (DKA) contributes to 94% of diabetes-related hospital admissions, and its incidence is rising. Due to the complexity of its management and the need for rigorous monitoring, many DKA patients are managed in the intensive care unit (ICU). However, studies comparing DKA patients managed in ICU to non-ICU settings show an increase in healthcare costs without significantly affecting patient outcomes. It is, therefore, essential to identify suitable candidates for ICU care in DKA patients.

aimTo evaluate factors that predict the requirement for ICU care in DKA patients.

methodsThis retrospective study included consecutive patients with index DKA episodes who presented to the emergency department of four general hospitals of Hamad Medical Corporation, Doha, Qatar, between January 2015 and March 2021. All adult patients (> 14 years) fulfilling the American Diabetes Association criteria for DKA diagnosis were included.

resultsWe included 922 patients with DKA in the final analysis, of which 229 (25%) were managed in the ICU. Compared to non-ICU patients, patients admitted to ICU were older [mean (SD) age of 40.4 ± 13.7 years

conclusionIn the largest tertiary center in Qatar, 25% of all DKA patients required ICU admission. Older age, T2DM, newly onset DM, an infectious trigger of DKA, moderate-severe DKA, concurrent NSTEMI, and COVID-19 infection are some factors that predict ICU requirement in a DKA patient.

Indexed as

Critical care outcomesDiabetic ketoacidosisIntensive care unitLength of stayType 1 diabetes mellitusType 2 diabetes mellitus

Identifiers

PMID37035234
PMCPMC10075029
OpenAlexW4324381697

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.