Evidence map›Paper›PMID 37610700›Full record

ReviewCurrent diabetes reports2023

The T1D Index: Implications of Initial Results, Data Limitations, and Future Development.

Graham D Ogle, Gabriel A Gregory, Fei Wang, Thomas Ig Robinson, Jayanthi Maniam, Dianna J Magliano, Trevor John Orchard

Erratum issuedAbstract readReview
In one paragraph

Review in Current diabetes reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Biology ofInsects · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Graham D OgleLife for a Child Program, Diabetes NSW, 26 Arundel St., Glebe, Sydney, New South Wales, 2037, Australia. gogle@diabetesaustralia.com.au.ORCID 0000-0002-2022-0866
Gabriel A GregoryLife for a Child Program, Diabetes NSW, 26 Arundel St., Glebe, Sydney, New South Wales, 2037, Australia.ORCID 0009-0006-7881-2940
Fei WangJDRF Australia, 4/80-84 Chandos St., St Leonards, Sydney, New South Wales, 2065, Australia.ORCID 0009-0009-8258-7928
Thomas Ig RobinsonJDRF Australia, 4/80-84 Chandos St., St Leonards, Sydney, New South Wales, 2065, Australia.ORCID 0009-0009-2522-3829
Jayanthi ManiamLife for a Child Program, Diabetes NSW, 26 Arundel St., Glebe, Sydney, New South Wales, 2037, Australia.ORCID 0000-0002-1118-0364
Dianna J MaglianoBaker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, Victoria, 3004, Australia.ORCID 0000-0002-9507-6096
Trevor John OrchardDepartment of Epidemiology, University of Pittsburgh, School of Public Health, Pittsburgh, PA, USA.ORCID 0000-0001-9552-3215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of the reviewCurrent global information on incidence, prevalence, and mortality of type 1 diabetes (T1D) is limited, particularly in low- and middle-income countries. To address this gap in evidence, JDRF, Life for a Child, International Society for Pediatric and Adolescent Diabetes, and International Diabetes Federation have developed the T1D Index, which uses a Markov mathematical model, and machine learning and all available data to provide global estimates of the burden on T1D. This review assesses the methodology, limitations, current findings, and future directions of the Index. RECENT

findingsGlobal prevalence was estimated at 8.4 million in 2021, with 1.5 million <20 years (y). T1D prevalence varied from 1.5 to 534 per 100,000, with T1D accounting for <0.1-17.8% of all diabetes in different countries. A total of 35,000 young people <25 y are estimated to have died at clinical onset of T1D from non-diagnosis. An estimated 435,000 people <25 y were receiving "minimal care." Health-adjusted life years (HALYs) lost for individuals diagnosed with T1D at age 10 y in 2021 ranged from 14 to 55 y. These results show that interventions to reduce deaths from non-diagnosis, and improve access to at least an intermediate care level, are needed to reduce projected life years lost. The results have significant uncertainties due to incomplete data across the required inputs. Obtaining recent incidence, prevalence, and mortality data, as well as addressing data quality issues, misdiagnoses, and the lack of adult data, is essential for maintaining and improving accuracy. The index will be updated regularly as new data become available.

Indexed as

Diabetes Mellitus, Type 1AdolescentAdultChildGlobal HealthHumansIncidencePrevalenceDiabetes-related mortalityEpidemiologyHealthy life yearsIncidencePrevalenceType 1 diabetes

Identifiers

PMID37610700
PMCPMC10520097

What OpenQuestion 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 OpenQuestion graph.