Evidence map›Paper›PMID 40491672›Full record

ArticleMetabolism open2025

Recovery time of diabetic ketoacidosis in Africa: Systematic review and meta-analysis.

Tadios Lidetu, Simon Birhanu, Addisu Simachew Asgai, Tsegaamlak Kumelachew Derse, Yideg Abinew, Moges Tadesse, Desalegn Mitiku, Jemberu Chane, Banchamilak Adane, Tadele Kassahun Wudu and 2 more

Abstract read
In one paragraph

Article in Metabolism open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Tadios LidetuCollege of Health Sciences, Debark University, Ethiopia.
Simon BirhanuCollege of Health Sciences, Debark University, Ethiopia.
Addisu Simachew AsgaiDepartment of Nursing, College of Health Sciences, Debark University, Debark, Ethiopia.
Tsegaamlak Kumelachew DerseDepartment of Nursing, College of Health Sciences, Debark University, Debark, Ethiopia.
Yideg AbinewDepartment of Nursing, College of Health Sciences, Debark University, Debark, Ethiopia.
Moges TadesseDepartment of Nursing, College of Health Sciences, Debark University, Debark, Ethiopia.
Desalegn MitikuDepartment of Nursing, College of Health Sciences, Debark University, Debark, Ethiopia.
Jemberu ChaneDepartment of Midwifery, College of Health Sciences, Debark University, Debark, Ethiopia.
Banchamilak AdaneDepartment of Midwifery, College of Health Sciences, Debark University, Debark, Ethiopia.
Tadele Kassahun WuduDepartment of Statistics, College of Natural Sciences, Debark University, Debark, Ethiopia.
Betelhem MekonnenDepartment of Nursing, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Desiyalew Habtamu TamiruJSI Research and Training Institute, Inc., Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes mellitus is a long-term metabolic disease marked by consistently elevated blood glucose levels. Diabetic ketoacidosis is the medical consequence of diabetes mellitus that has the highest attributed fatality rate. Socioeconomically differences affect how long it takes to recover from diabetic ketoacidosis. A few research were carried out in Africa to demonstrate how long diabetic ketoacidosis takes to recover. However, the pooled median recovery time and predictors of diabetic ketoacidosis have not been studied in Africa. Thus, determine the pooled median recovery time and predictors of diabetic ketoacidosis in Africa was the aim of this systematic review and meta-analysis. Methods: To find available publications, a number of databases were analyzed, including PubMed, Science Direct, Cochrane, Hinari, Google Scholar, grey literature, and articles from various university repository sites. Microsoft Excel version 13 was used to extract and sort the data before exporting it to STATA/MP 17.0 for analysis. The quality of each study was evaluated using the Newcastle-Ottawa Scale. A 95 percent confidence interval Der Simonian random-effects model was employed to investigate the pooled recovery time of diabetic ketoacidosis. Publication bias and heterogeneity were assessed using the Egger's test and I Result: The pooled median recovery time for diabetic ketoacidosis in Africa was 38 h (95 percent CI: 33-43 h), according to this comprehensive review and meta-analysis. Significant heterogeneity is evident when looking at the Galbraith plot with I2 = 100 % (p < 0.001). Research conducted after 2020 revealed that diabetic ketoacidosis has a long recovery time of 40 h (95 percent CI: 3-77 h). However, research with fewer than 300 participants showed that diabetic ketoacidosis recovered more quickly: 18 h (95 percent confidence interval: 12-24 h). Conclusion: Among patients with diabetic ketoacidosis in Africa, the pooled median recovery time was lengthy. The recovery time from diabetic ketoacidosis was influenced by a number of factors, including the severity of the diabetic ketoacidosis, the delay in starting therapy, and the length of time the patient had diabetes mellitus, and elevated blood glucose levels. Diabetic ketoacidosis recovery time can be shortened by altering these factors.

Indexed as

AfricaDiabetic ketoacidosisPredictorRecovery time

Identifiers

PMID40491672
PMCPMC12148423

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.