Evidence map›Paper›PMID 42584038›Full record

ArticleEndocrinology, diabetes & metabolism2026

Clinical Predictors of Time to Hospital Discharge in Children With New-Onset Diabetic Ketoacidosis in Zambia: A Retrospective Cohort Study.

Gunet Mwalungali, Blessings Kaimbo, Martin Kampamba, Larry Mweetwa, Christine Mutati, Chanda Chisunka, Annie Silwimba, Jimmy Hangoma

Abstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2026. 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
–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

0 citing papers in PubMed.

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

8 authors.

Gunet MwalungaliSchool of Medicine, Cavendish University, Lusaka, Zambia.ORCID https://orcid.org/0000-0002-1446-1065
Blessings KaimboSchool of Medicine, Cavendish University, Lusaka, Zambia.ORCID https://orcid.org/0009-0003-8730-8410
Martin KampambaDepartment of Pharmacy, University of Zambia, Lusaka, Zambia.ORCID https://orcid.org/0000-0003-0730-3795
Larry MweetwaMinistry of Technology and Science, Government of the Republic of Zambia, Lusaka, Zambia.
Christine MutatiSchool of Medicine, Cavendish University, Lusaka, Zambia.
Chanda ChisunkaSchool of Medicine, Cavendish University, Lusaka, Zambia.ORCID https://orcid.org/0009-0000-0078-4675
Annie SilwimbaSchool of Applied and Health Sciences, Pharmacy Department, Evelyn Hone College of Applied Arts and Commerce, Lusaka, Zambia.ORCID https://orcid.org/0009-0006-4312-9631
Jimmy HangomaDepartment of Pharmacy, School of Health Sciences, Levy Mwanawasa Medical University, Lusaka, Zambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsDiabetic ketoacidosis (DKA) at type 1 diabetes diagnosis is common in low-resource settings and associated with prolonged hospitalisation. We aimed to identify determinants of time to discharge among children with new-onset DKA in Zambia.

methodsWe conducted a retrospective cohort study of children aged 0-16 years with newly diagnosed T1DM and DKA at the University Teaching Hospital, Lusaka (2018-2023). The primary outcome was time to discharge (days). We used Kaplan-Meier with log-rank tests and Cox regression. To address proportional hazards (PH) violation, we fitted a stratified Cox model (stratified by HbA1c, vomiting and DKA severity) for PH validation and a granulated Cox model with DKA severity (mild, moderate, severe) to estimate independent effects. PH was verified using Schoenfeld residuals.

resultsAmong 353 children (mean age 8.3 years, SD 4.6), median stay was 5 days (IQR 4-8). Log-rank tests showed significant differences in discharge probability by DKA severity (χ

conclusionsDKA severity is the strongest independent predictor of prolonged hospital stay in children with new-onset DKA. Ketonuria is a useful bedside marker but lacks independent effect beyond severity. Infection independently predicts faster discharge. These findings could inform risk stratification and resource allocation in similar settings.

Indexed as

Diabetes Mellitus, Type 1Diabetic KetoacidosisLength of StayPatient DischargeAdolescentChildChild, PreschoolFemaleHumansInfantInfant, NewbornMalePrognosisRetrospective StudiesSeverity of Illness IndexTime Factorschilddiabetic ketoacidosishospitalisedtype 1 diabetes mellitus

Identifiers

PMID42584038
PMCPMC13463740

What Socratic holds

Textmetadata
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 Socratic graph.