Evidence map›Paper›PMID 41221484›Full record

ArticleCurrent pediatrics reports2025

Latest Updates in Prevention and Screening of Type 1 Diabetes Mellitus.

Kate Citron-Zafrin, Rachelle Gandica, Natasha Leibel

Abstract read
In one paragraph

Article in Current pediatrics reports, 2025. 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

3 authors.

Kate Citron-ZafrinNaomi Berrie Diabetes Center, Columbia University Irving Medical Center, NY, NY.
Rachelle GandicaNaomi Berrie Diabetes Center, Columbia University Irving Medical Center, NY, NY.
Natasha LeibelNaomi Berrie Diabetes Center, Columbia University Irving Medical Center, NY, NY.

Funding

Training Grant in Pediatric Endocrinology, Diabetes and MetabolismT32DK065522 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHARON E. OBERFIELD · 2005 to 2026
$4.6M
NIDDK NIH HHS T32 DK065522
6 · The paper itself

Abstract

Purpose of Review: We describe the latest guidelines for classification of stages of type 1 diabetes (T1D) and updates regarding screening and prevention of T1D in the pediatric population. Recent Findings: Preclinical diabetes is now staged and there are both completed and ongoing trials that have identified therapeutic targets to potentially delay the onset of clinical T1D and the need for insulin therapy. The approval of teplizumab as the first FDA approved pharmacologic agent to delay progression of T1D, makes screening increasingly important. Summary: Type 1 diabetes (T1D) is a chronic disease caused by autoimmune destruction of pancreatic beta cells, resulting in insulin deficiency. Screening for T1D is offered in clinical trials for high-risk individuals, such as family members of those with T1D. Advantages to screening for T1D include prevention of life-threatening diabetic ketoacidosis (DKA) and reduction in the risk of associated morbidity and mortality. T1D is now classified in stages that are defined by the presence of pancreatic autoantibodies and dysglycemia. Teplizumab is a humanized anti-CD3 monoclonal antibody and is the first pharmacologic agent approved by the US Food and Drug Administration (FDA) to delay progression of T1D. Additionally, there have been many trials aimed at identifying additional therapeutic targets to delay onset of clinical T1D and the need for insulin therapy.

Indexed as

diabetes immunotherapyprevention of diabetesscreening for diabetesstages of diabetesTeplizumabtype 1 diabetes

Identifiers

PMID41221484
PMCPMC12599897

What OpenQuestion holds

Textmetadata
LicenceTDM
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.