Evidence map›Paper›PMID 40215252›Full record

SynthesisPloS one2025

Immunotherapy as a treatment for type 1 diabetes mellitus in children and young adults: A comprehensive systematic review and meta-analysis.

Gaelle Salame, Vincent Hakim, Clara Dagher, Rose-Mary Daou, Anthony El Dada, Lea Nassif, Hilda E Ghadieh, Sami Azar, Samer Bazzi, Frederic Harb

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

10 authors.

Gaelle SalameFaculty of Medicine and Medical Sciences, University of Balamand, Kalhat, Lebanon.
Vincent HakimFaculty of Medicine and Medical Sciences, University of Balamand, Kalhat, Lebanon.
Clara DagherFaculty of Medicine and Medical Sciences, University of Balamand, Kalhat, Lebanon.
Rose-Mary DaouFaculty of Medicine and Medical Sciences, University of Balamand, Kalhat, Lebanon.
Anthony El DadaFaculty of Medicine and Medical Sciences, University of Balamand, Kalhat, Lebanon.ORCID 0009-0009-6839-7618
Lea NassifFaculty of Medicine and Medical Sciences, University of Balamand, Kalhat, Lebanon.
Hilda E GhadiehFaculty of Medicine and Medical Sciences, University of Balamand, Kalhat, Lebanon.
Sami AzarFaculty of Medicine and Medical Sciences, University of Balamand, Kalhat, Lebanon.
Samer BazziFaculty of Medicine and Medical Sciences, University of Balamand, Kalhat, Lebanon.
Frederic HarbFaculty of Medicine and Medical Sciences, University of Balamand, Kalhat, Lebanon.ORCID 0000-0001-5882-1619

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveType 1 diabetes mellitus (T1DM) is characterized by the loss of pancreatic cells, resulting in total insulin insufficiency. According to the Diabetes Control and Complications Trial, T1DM treatment aims to achieve appropriate glycemic control and to prevent and avoid repeated episodes of hypoglycemia. Insulin therapy alone addresses the symptoms of the disease but fails to target the underlying pathophysiology of T1DM in children despite continuous efforts to enhance insulin regimens. Therefore, immunotherapy-based approaches have been considered potential treatments for T1DM in children since they can regulate the autoimmune responses and enhance the children's quality of life by reducing their daily dose intake of insulin.

methodsIn this meta-analysis, we have covered a few immunotherapeutic options based on preclinical and clinical data, namely, Teplizumab, Golimumab, Imatinib, Etanercept, Canakinumab, Ladarixin, Ala-Ala, Anakinra, and Otelixizumab in reliable databases such as Pubmed, Google Scholar, and Cochrane. SPSS was used for statistical analysis. Mean difference (MD) and standard mean difference (SMD) were used to evaluate the outcomes with a 95% confidence interval (CI).

resultsTo assess the effect of immunotherapy on the patients' daily dosage of insulin and their HbA1c and C-peptide levels, data from twelve trials were combined and synthesized. Because of the high levels of heterogeneity in the selected studies, a random-effects model was used for analysis. The combined data showed that patients receiving immunotherapy had higher C-peptide levels (Mean Difference (MD) = 1.51; 95% Confidence Interval (CI): [-2.56, 5.58]); however, this difference was not statistically significant (p = 0.42). On the other hand, patients in the immunotherapy group had significantly decreased HbA1c levels (MD = -0.63; 95% CI: [-1.18, -0.07]; p = 0.03), indicating that immunotherapy had a positive impact on glycemic management. Additionally, patients receiving immunotherapy exhibited a drop in their daily insulin dosage (MD = -1.15; 95% CI: [-2.59, 0.28]); however, this drop failed to achieve statistical significance (p = 0.10), thus indicating the need for additional research.

conclusionThis meta-analysis aimed to assess the effectiveness of immunotherapy in treating T1DM by examining its effects on the patients' required dose of insulin, C-peptide, and HbA1c levels. While some studies failed to show desired results, the overall effect was an increase in C-peptide levels and a decrease in HbA1c levels. However, the study did not achieve statistical significance for insulin dosing. The main study's strength is its focus on randomized clinical trials which is considered among the highest levels of epidemiological evidence. Therefore, further research is required to minimize the gaps and to explore immunotherapy-based drugs as potential treatments for T1DM.

Indexed as

Diabetes Mellitus, Type 1ImmunotherapyAdolescentChildGlycated HemoglobinHumansInsulinYoung AdultGlycated HemoglobinInsulin

Identifiers

PMID40215252
PMCPMC11990578

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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.