Evidence map›Paper›PMID 35975939›Full record

ArticleDiabetes care2022

Optimal Frequency of Retinopathy Screening in Adolescents With Type 1 Diabetes: Markov Modeling Approach Based on 30 Years of Data.

Andrzej S Januszewski, Vallimayil Velayutham, Paul Z Benitez-Aguirre, Maria E Craig, Janine Cusumano, Alison Pryke, Stephen Hing, Gerald Liew, Yoon Hi Cho, Emily Y Chew and 2 more

Abstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. 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

12 authors.

Andrzej S JanuszewskiNational Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0003-0995-4524
Vallimayil VelayuthamInstitute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Paul Z Benitez-AguirreInstitute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Maria E CraigInstitute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Janine CusumanoInstitute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Alison PrykeInstitute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Stephen HingInstitute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Gerald LiewCentre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Sydney, New South Wales, Australia.
Yoon Hi ChoInstitute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.
Emily Y ChewNational Eye Institute, National Institutes of Health, Bethesda, MD.
Alicia J JenkinsNational Health and Medical Research Council (NHMRC) Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia.
Kim C DonaghueInstitute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, New South Wales, Australia.ORCID 0000-0002-4210-7872

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCurrent guidelines recommend biennial diabetic retinopathy (DR) screening commencing at the age of 11 years and after 2-5 years' duration of type 1 diabetes. Growing evidence suggests less frequent screening may be feasible. RESEARCH DESIGN AND

methodsProspective data were collected from 2,063 youth with type 1 diabetes who were screened two or more times between 1990 and 2019. Baseline (mean ± SD) age was 13.3 ± 1.8 years, HbA1c was 8.6 ± 1.3% (70.1 ± 14.7 mmol/mol), diabetes duration was 5.6 ± 2.8 years, and follow-up time was 4.8 ± 2.8 years. DR was manually graded from 7-field retinal photographs using the Early Treatment Diabetic Retinopathy Study (ETDRS) scale. Markov chain was used to calculate probabilities of DR change over time and hazard ratio (HR) of DR stage transition.

resultsThe incidence of moderate nonproliferative DR (MNPDR) or worse was 8.6 per 1,000 patient-years. Probabilities of transition to this state after a 3-year interval were from no DR, 1.3%; from minimal DR, 5.1%; and from mild DR, 22.2%, respectively. HRs (95% CIs) for transition per 1% current HbA1c increase were 1.23 (1.16-1.31) from no DR to minimal NPDR, 1.12 (1.03-1.23) from minimal to mild NPDR, and 1.28 (1.13-1.46) from mild to MNPDR or worse. HbA1c alone explained 27% of the transitions between no retinopathy and MNPDR or worse. The addition of diabetes duration into the model increased this value to 31% (P = 0.03). Risk was also increased by female sex and higher attained age.

conclusionsThese results support less frequent DR screening in youth with type 1 diabetes without DR and short duration. Although DR progression to advanced stages is generally slow, higher HbA1c greatly accelerates it.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diabetic RetinopathyAdolescentChildFemaleGlycated HemoglobinHumansMaleProspective StudiesRisk FactorsGlycated Hemoglobin

Identifiers

PMID35975939
PMCPMC9643143

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.