Evidence map›Paper›PMID 32734441›Full record

ArticleDiabetologia2020

A personalised screening strategy for diabetic retinopathy: a cost-effectiveness perspective.

Sajad Emamipour, Amber A W A van der Heijden, Giel Nijpels, Petra Elders, Joline W J Beulens, Maarten J Postma, Job F M van Boven, Talitha L Feenstra

Abstract read
In one paragraph

Article in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

8 authors.

Sajad EmamipourDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, the Netherlands. s.emamipour@umcg.nl.ORCID 0000-0003-2511-4285
Amber A W A van der HeijdenDepartment of General Practice and Elderly Care Medicine, Amsterdam University Medical Center, location VU, Amsterdam, the Netherlands.
Giel NijpelsDepartment of General Practice and Elderly Care Medicine, Amsterdam University Medical Center, location VU, Amsterdam, the Netherlands.
Petra EldersDepartment of General Practice and Elderly Care Medicine, Amsterdam University Medical Center, location VU, Amsterdam, the Netherlands.
Joline W J BeulensDepartment of General Practice and Elderly Care Medicine, Amsterdam University Medical Center, location VU, Amsterdam, the Netherlands.
Maarten J PostmaDepartment of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Job F M van BovenDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, the Netherlands.
Talitha L FeenstraFaculty of Science and Engineering, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, the Netherlands.

Funding

H2020 Marie Skłodowska-Curie Actions 754425ZonMw 837001404
6 · The paper itself

Abstract

aims/hypothesisIn this study we examined the cost-effectiveness of three different screening strategies for diabetic retinopathy: using a personalised adaptive model, annual screening (fixed intervals), and the current Dutch guideline (stratified based on previous retinopathy grade).

methodsFor each individual, optimal diabetic retinopathy screening intervals were determined, using a validated risk prediction model. Observational data (1998-2017) from the Hoorn Diabetes Care System cohort of people with type 2 diabetes were used (n = 5514). The missing values of retinopathy grades were imputed using two scenarios of slow and fast sight-threatening retinopathy (STR) progression. By comparing the model-based screening intervals to observed time to develop STR, the number of delayed STR diagnoses was determined. Costs were calculated using the healthcare perspective and the societal perspective. Finally, outcomes and costs were compared for the different screening strategies.

resultsFor the fast STR progression scenario, personalised screening resulted in 11.6% more delayed STR diagnoses and €11.4 less costs per patient compared to annual screening from a healthcare perspective. The personalised screening model performed better in terms of timely diagnosis of STR (8.8% less delayed STR diagnosis) but it was slightly more expensive (€1.8 per patient from a healthcare perspective) than the Dutch guideline strategy. CONCLUSIONS/

interpretationThe personalised diabetic retinopathy screening model is more cost-effective than the Dutch guideline screening strategy. Although the personalised screening strategy was less effective, in terms of timely diagnosis of STR patients, than annual screening, the number of delayed STR diagnoses is low and the cost saving is considerable. With around one million people with type 2 diabetes in the Netherlands, implementing this personalised model could save €11.4 million per year compared with annual screening, at the cost of 658 delayed STR diagnoses with a maximum delayed time to diagnosis of 48 months.

Indexed as

Cost-Benefit AnalysisDiabetes Mellitus, Type 2Diabetic RetinopathyHumansRisk AssessmentCost-effectivenessDiabetic retinopathyRisk assessmentScreening intervals

Identifiers

PMID32734441
PMCPMC7527375

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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.