Evidence mapPaperPMID 41598470Full record

ReviewJournal of clinical medicine2026

Enhancing Primary Care Recognition of Type 1 Diabetes in Children: Diagnostic Challenges and Strategies to Prevent Diabetic Ketoacidosis.

Yung-Yi Lan, Rujith Kovinthapillai, Andrzej Kędzia, Elżbieta Niechciał

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 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

4 authors.

Yung-Yi LanCenter for Medical Education in English, Poznan University of Medical Sciences, 41 Jackowskiego St., 60-512 Poznań, Poland.ORCID 0009-0002-3487-0664
Rujith KovinthapillaiCenter for Medical Education in English, Poznan University of Medical Sciences, 41 Jackowskiego St., 60-512 Poznań, Poland.ORCID 0009-0006-3314-7422
Andrzej KędziaDepartment of Pediatric Diabetes, Auxology and Obesity, Poznan University of Medical Sciences, ul. Szpitalna 27/33, 60-572 Poznań, Poland.
Elżbieta NiechciałDepartment of Pediatric Diabetes, Auxology and Obesity, Poznan University of Medical Sciences, ul. Szpitalna 27/33, 60-572 Poznań, Poland.ORCID 0000-0003-3245-8131

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Timely recognition of type 1 diabetes (T1D) in children and adolescents is crucial to prevent acute complications such as diabetic ketoacidosis (DKA). This narrative review examines the pathophysiology, clinical presentation, and diagnostic challenges of childhood T1D, including the young age of onset, clinician training gaps, and overlapping symptomatology between T1D and other common pediatric illnesses. Despite increased awareness, a significant proportion of children still present with DKA at diagnosis due to misinterpretation of symptoms, such as polydipsia, polyuria, and weight loss. This work emphasizes the importance of early recognition, timely intervention, and the use of structured management algorithms for primary care clinicians. Strategies to reduce DKA incidence, based on existing literature, successful real-world examples, and current guidelines, include enhanced screening for high-risk populations, educational initiatives, and improved diagnostic protocols. By implementing systematic approaches and public health campaigns, healthcare providers can improve early T1D detection and prevent severe DKA complications, ultimately enhancing patient outcomes and reducing long-term morbidity.

Indexed as

autoantibodiesdiabetic ketoacidosisearly diagnosispediatric diabetespractical guideprimary care cliniciansred flag symptomstype 1 diabetes

Identifiers

PMID41598470
PMCPMC12842325

What Socratic 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 Socratic graph.