Evidence map›Paper›PMID 26309427›Full record

ArticlePopulation health metrics2015

Multiple causes of death analysis of chronic diseases: the example of diabetes.

Ugo Fedeli, Giacomo Zoppini, Carlo Alberto Goldoni, Francesco Avossa, Giuseppe Mastrangelo, Mario Saugo

Open access · goldAbstract read
In one paragraph

Article in Population health metrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
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

21 citing papers in PubMed, 70 citations in OpenAlex.

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  10. Diabetes as a cause of death across different COVID-19 epidemic waves.Diabetes research and clinical practice · 2022
    Article
  11. Time series of diabetes attributable mortality from 2008 to 2017.Journal of endocrinological investigation · 2022
    Article
  12. Article
  13. Trends in diabetes mortality identified from death certificates in Colombia, 1979-2017.Revista panamericana de salud publica = Pan American journal of public health · 2021
    Article
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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

6 authors at 2 institutions in 1 country.

Ugo FedeliEpidemiological Department, Veneto Region, Passaggio Gaudenzio 1, Padova (PD), 35131 Italy.
Giacomo ZoppiniSection of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Verona, Piazzale Stefani 1, Verona (VR), 37126 Italy.
Carlo Alberto GoldoniDepartment of Public Health, Local Health Unit, Modena, Strada Martiniana 21, Baggiovara, Modena (MO), 41126 Italy.
Francesco AvossaEpidemiological Department, Veneto Region, Passaggio Gaudenzio 1, Padova (PD), 35131 Italy.
Giuseppe MastrangeloDepartment of Cardiac, Thoracic and Vascular Sciences, University of Padova, Via Giustiniani 2, Padova (PD), 35128 Italy.
Mario SaugoEpidemiological Department, Veneto Region, Passaggio Gaudenzio 1, Padova (PD), 35131 Italy.
University of Padua · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying a single disease as the underlying cause of death (UCOD) is an oversimplification of the clinical-pathological process leading to death. The multiple causes of death (MCOD) approach examines any mention of a disease in death certificates. Taking diabetes as an example, the study investigates: patterns of death certification, differences in mortality figures based on the UCOD and on MCOD, factors associated to the mention of diabetes in death certificates, and potential of MCOD in the analysis of the association between chronic diseases.

methodsThe whole mortality archive of the Veneto Region-Italy was extracted from 2008 to 2010. Mortality rates and proportional mortality were computed for diabetes as the UCOD and as MCOD. The position of the death certificate where diabetes was mentioned was analyzed. Conditional logistic regression was applied with chronic liver diseases (CLD) as the outcome and diabetes as the exposure variable. A subset of 19,605 death certificates of known diabetic patients (identified from the archive of exemptions from medical charges) was analyzed, with mention of diabetes as the outcome and characteristics of subjects as well as other diseases reported in the certificate as predictors.

resultsIn the whole mortality archive, diabetes was mentioned in 12.3 % of death certificates, and selected as the UCOD in 2.9 %. The death rate for diabetes as the UCOD was 26.8 × 10(5) against 112.6 × 10(5) for MCOD; the UCOD/MCOD ratio was higher in males. The major inconsistencies of certification were entering multiple diseases per line and reporting diabetes as a consequence of circulatory diseases. At logistic regression the mention of diabetes was associated with the mention of CLD (mainly non-alcohol non-viral CLD). In the subset of known diabetic subjects, diabetes was reported in 52.1 %, and selected as the UCOD in 13.4 %. The probability of reporting diabetes was higher with coexisting circulatory diseases and renal failure and with long duration of diabetes, whereas it was lower in the presence of a neoplasm.

conclusionsThe use of MCOD makes the analysis of mortality data more complex, but conveys more information than usual UCOD analyses.

Identifiers

PMID26309427
PMCPMC4549015
OpenAlexW1887049046

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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.