Evidence map›Paper›PMID 28614482›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2017

[Time-trend analysis of diabetes mellitus mortality in Argentina, 1990-2013].

Hernán Hernández, Guillermo Macías

Abstract read
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Trends in mortality and disease burden from diabetes mellitus in Argentina between 1990 and 2022.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026
    Article
  3. Review
  4. 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
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

2 authors.

Hernán HernándezUniversidad Nacional de La Matanza (UNLaM), Buenos Aires, Argentina.
Guillermo MacíasUniversidad Nacional de La Matanza (UNLaM), Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe the time trend of mortality attributable to diabetes mellitus (DM) in Argentina in the years 1990-2013, by age and sex.

methodsCrude, age-specific, and age-adjusted rates of DM mortality in Argentina were calculated for the period 1990-2013. Mortality data were obtained from the Statistical Report on Deaths issued by the Department of Statistics and Health Information. An analysis of this trend was carried out through joinpoint regression models.

resultsAnalysis of the trend of crude and age-adjusted DM mortality rates yielded a statistically significant model in which mortality increased between 1990 and 2001 and declined thereafter. Furthermore, for age-adjusted rates, there was a significant downward trend of mortality in women (AAPC -1.10, 95%CI -1.70 to -0.50). Age-specific mortality rates multiplied with every 10-year increment in age. All age groups older than 50 years showed a growing mortality trend between 1990 and 2001.

conclusionsDM mortality mainly affects people over the age of 50 and men. A significant downward trend in age-adjusted DM mortality rates was observed for women. These findings highlight the importance of developing policies for prevention and early detection, as well as of proper coding of multiple causes of death.

Indexed as

AgedAged, 80 and overArgentinaDiabetes MellitusFemaleHumansMaleMiddle AgedMortalityTime Factors

Identifiers

PMID28614482
PMCPMC6645251

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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.