Evidence map›Paper›PMID 34591270›Full record

ArticleJournal of endocrinological investigation2022

Time series of diabetes attributable mortality from 2008 to 2017.

U Fedeli, E Schievano, S Masotto, E Bonora, G Zoppini

Abstract read
In one paragraph

Article in Journal of endocrinological investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Diabetes as a cause of death across different COVID-19 epidemic waves.Diabetes research and clinical practice · 2022
    Article
  6. Review
  7. 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

5 authors.

U FedeliEpidemiological Department, Azienda Zero, Veneto Region, Italy.
E SchievanoEpidemiological Department, Azienda Zero, Veneto Region, Italy.
S MasottoEndocrinology, Diabetes and Metabolism, Department of Medicine, University and Hospital Trust of Verona, Università di Verona, Piazzale Stefani, 1, 37126, Verona, Italy.
E BonoraEndocrinology, Diabetes and Metabolism, Department of Medicine, University and Hospital Trust of Verona, Università di Verona, Piazzale Stefani, 1, 37126, Verona, Italy.
G ZoppiniEndocrinology, Diabetes and Metabolism, Department of Medicine, University and Hospital Trust of Verona, Università di Verona, Piazzale Stefani, 1, 37126, Verona, Italy. giacomo.zoppini@univr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDiabetes is a growing health problem. The aim of this study was to capture time trends in mortality associated with diabetes.

methodsThe mortality database of the Veneto region (Italy) includes both the underlying causes of death, and all the diseases mentioned in the death certificate. The annual percent change (APC) in age-standardized rates from 2008 to 2017 was computed by the Joinpoint Regression Program.

resultsOverall 453,972 deaths (56,074 with mention of diabetes) were observed among subjects aged ≥ 40 years. Mortality rates declined for diabetes as the underlying cause of death and from diabetes-related circulatory diseases. The latter declined especially in females - 4.4 (CI 95% - 5.3/- 3.4), while in males the APC was - 2.8 (CI 95% - 4.0/- 1.6).

conclusionWe observed a significant reduction in mortality during the period 2008-2017 in diabetes either as underlying cause of death or when all mentions of diabetes in the death certificate were considered.

Indexed as

Cardiovascular DiseasesDiabetes ComplicationsCause of DeathDeath CertificatesDiabetes MellitusFemaleHumansItalyMaleMiddle AgedMortalitySex FactorsDiabetesMortalityTime seriesUnderlying cause of death

Identifiers

PMID34591270
PMCPMC8783866

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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.