Evidence map›Paper›PMID 35111718›Full record

ArticleFrontiers in public health2021

Covid Adult Mortality in Brazil: An Analysis of Multiple Causes of Death.

Ana Maria Nogales Vasconcelos, Lenice Ishitani, Daisy Maria Xavier Abreu, Elisabeth França

Abstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mortality related to sickle cell disease and COVID-19 in Brazil, 2020.Revista da Associacao Medica Brasileira (1992) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Consequences of COVID-19 and Its Variants: Understanding the Physical, Oral, and Psychological Impact.International journal of environmental research and public health · 2023
    Article
  11. 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

4 authors.

Ana Maria Nogales VasconcelosDepartment of Statistics, University of Brasilia, Brasilia, Brazil.
Lenice IshitaniEpidemiology and Health Assessment Research Group (GPEAS), Federal University of Minas Gerais, Belo Horizonte, Brazil.
Daisy Maria Xavier AbreuEpidemiology and Health Assessment Research Group (GPEAS), Federal University of Minas Gerais, Belo Horizonte, Brazil.
Elisabeth FrançaGraduate Program in Public Health, School of Medicine and Epidemiology and Health Assessment Research Group (GPEAS), Federal University of Minas Gerais, Belo Horizonte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to analyze the chain of events and contributing causes associated with COVID-19 adult mortality (30-69 years old), based on qualified data on CoD from three Brazilian capitals cities, Belo Horizonte, Salvador, and Natal, in 2020. Methods: Data of all deaths among residents in the three capitals in 2020 were provided by these municipalities' routine Mortality Information System (SIM). Mentions B34.2 with the markers U07.1 and U07.2 in the death certificate identified COVID-19 deaths. We used a multiple-cause-of-death approach better to understand the complexity of the morbid process of COVID-19. Conditions that appeared more frequently in the same line or above the COVID-19 mentions in the death certificate were considered a chain-of-event. Conditions that occurred more often after the codes for COVID-19 were considered as contributing. Results: In 2020, 7,029 records from COVID-19 as the underlying cause of death were registered in SIM in the three capitals. Among these, 2,921 (41.6%) were deceased between 30 and 69 years old, representing 17.0% of deaths in this age group. As chain-of-events, the most frequent conditions mentioned were sepsis (33.4%), SARS (32.0%), acute respiratory failure (31.9%), unspecified lower respiratory infections (unspecified pneumonia) (20.1%), and other specified respiratory disorders (14.1%). Hypertension (33.3%), diabetes unspecified type (21.7%), renal failure (12.7%), obesity (9.8%), other chronic kidney diseases (4.9%), and diabetes mellitus type 2 (4.7%) were the most frequent contributing conditions. On average, 3.04 conditions were mentioned in the death certificate besides COVID-19. This average varied according to age, place of death, and capital. Conclusion: The multiple-cause analysis is a powerful tool to better understand the morbid process due to COVID-19 and highlight the importance of chronic non-communicable diseases as contributing conditions.

Indexed as

COVID-19AdultAgedBrazilCause of DeathCitiesHumansMiddle AgedSARS-CoV-2BrazilCOVID-19mortalitymultiple cause of deathnon-communicable diseases

Identifiers

PMID35111718
PMCPMC8801696

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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.