Evidence map›Paper›PMID 25885910›Full record

ArticleBMC public health2015

Forecasting Tunisian type 2 diabetes prevalence to 2027: validation of a simple model.

Olfa Saidi, Martin O'Flaherty, Nadia Ben Mansour, Wafa Aissi, Olfa Lassoued, Simon Capewell, Julia A Critchley, Dhafer Malouche, Habiba Ben Romdhane, EC FP7 funded MEDCHAMPS project

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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  5. La Tunisie medicale · 2023
    Article
  6. Effects ofFood science & nutrition · 2023
    Article
  7. Article
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  14. Review
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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

10 authors.

Olfa SaidiCardiovascular Epidemiology and Prevention Research Laboratory, Faculty of medicine of Tunis, Tunis, Tunisia. olfa.saidi@yahoo.fr.
Martin O'FlahertyDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK. M.OFlaherty@liverpool.ac.uk.
Nadia Ben MansourCardiovascular Epidemiology and Prevention Research Laboratory, Faculty of medicine of Tunis, Tunis, Tunisia. nadiabmy@gmail.com.
Wafa AissiCardiovascular Epidemiology and Prevention Research Laboratory, Faculty of medicine of Tunis, Tunis, Tunisia. docaissi@gmail.com.
Olfa LassouedCardiovascular Epidemiology and Prevention Research Laboratory, Faculty of medicine of Tunis, Tunis, Tunisia. olfalassoued30@gmail.com.
Simon CapewellDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK. capewell@liverpool.ac.uk.
Julia A CritchleyPopulation Health Research Institute, St George's, University of London, London, UK. jcritchl@sgul.ac.uk.
Dhafer MaloucheCardiovascular Epidemiology and Prevention Research Laboratory, Faculty of medicine of Tunis, Tunis, Tunisia. mdhafer.ticv@gmail.com.
Habiba Ben RomdhaneCardiovascular Epidemiology and Prevention Research Laboratory, Faculty of medicine of Tunis, Tunis, Tunisia. habibabr@yahoo.fr.
EC FP7 funded MEDCHAMPS project

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost projections of type 2 diabetes (T2D) prevalence are simply based on demographic change (i.e. ageing). We developed a model to predict future trends in T2D prevalence in Tunisia, explicitly taking into account trends in major risk factors (obesity and smoking). This could improve assessment of policy options for prevention and health service planning.

methodsThe IMPACT T2D model uses a Markov approach to integrate population, obesity and smoking trends to estimate future T2D prevalence. We developed a model for the Tunisian population from 1997 to 2027, and validated the model outputs by comparing with a subsequent T2D prevalence survey conducted in 2005.

resultsThe model estimated that the prevalence of T2D among Tunisians aged over 25 years was 12.0% in 1997 (95% confidence intervals 9.6%-14.4%), increasing to 15.1% (12.5%-17.4%) in 2005. Between 1997 and 2005, observed prevalence in men increased from 13.5% to 16.1% and in women from 12.9% to 14.1%. The model forecast for a dramatic rise in prevalence by 2027 (26.6% overall, 28.6% in men and 24.7% in women). However, if obesity prevalence declined by 20% in the 10 years from 2013, and if smoking decreased by 20% over 10 years from 2009, a 3.3% reduction in T2D prevalence could be achieved in 2027 (2.5% in men and 4.1% in women).

conclusionsThis innovative model provides a reasonably close estimate of T2D prevalence for Tunisia over the 1997-2027 period. Diabetes burden is now a significant public health challenge. Our model predicts that this burden will increase significantly in the next two decades. Tackling obesity, smoking and other T2D risk factors thus needs urgent action. Tunisian decision makers have therefore defined two strategies: obesity reduction and tobacco control. Responses will be evaluated in future population surveys.

Indexed as

Models, TheoreticalAdultAgedDiabetes Mellitus, Type 2FemaleForecastingHumansMaleMarkov ChainsMiddle AgedObesityPrevalencePublic HealthRisk FactorsSmokingTunisia

Identifiers

PMID25885910
PMCPMC4348374

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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.