Evidence map›Paper›PMID 26171854›Full record

ArticlePloS one2015

The Challenge of Cardiovascular Diseases and Diabetes to Public Health: A Study Based on Qualitative Systemic Approach.

Marilia Sá Carvalho, Claudia Medina Coeli, Dóra Chor, Rejane Sobrino Pinheiro, Maria de Jesus Mendes da Fonseca, Luiz Carlos de Sá Carvalho

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Long Covid: conceptualizing the challenges for public health.Journal of public health (Oxford, England) · 2023
    Article
  2. Complex System Approaches for Animal Health Surveillance.Frontiers in veterinary science · 2019
    Review
  3. Review
  4. 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

6 authors at 4 institutions in 1 country.

Marilia Sá CarvalhoScientific Computing Program, Oswaldo Cruz Foundation, Antiga Residência Oficial, Rio de Janeiro, RJ, Brazil.
Claudia Medina CoeliInstitute for Studies in Collective Health. Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Dóra ChorDepartment of Epidemiology, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.
Rejane Sobrino PinheiroInstitute for Studies in Collective Health. Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Maria de Jesus Mendes da FonsecaDepartment of Epidemiology, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.
Luiz Carlos de Sá CarvalhoPontifical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Escola Nacional de Saúde Pública · BRUniversidade Federal do Rio de Janeiro · BRFundação Oswaldo Cruz · BRPontifical Catholic University of Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most common modeling approaches to understanding incidence, prevalence and control of chronic diseases in populations, such as statistical regression models, are limited when it comes to dealing with the complexity of those problems. Those complex adaptive systems have characteristics such as emerging properties, self-organization and feedbacks, which structure the system stability and resistance to changes. Recently, system science approaches have been proposed to deal with the range, complexity, and multifactor nature of those public health problems. In this paper we applied a multilevel systemic approach to create an integrated, coherent, and increasingly precise conceptual framework, capable of aggregating different partial or specialized studies, based on the challenges of the Longitudinal Study of Adult Health - ELSA-Brasil. The failure to control blood pressure found in several of the study's subjects was discussed, based on the proposed model, analyzing different loops, time lags, and feedback that influence this outcome in a population with high educational level, with reasonably good health services access. We were able to identify the internal circularities and cycles that generate the system's resistance to change. We believe that this study can contribute to propose some new possibilities of the research agenda and to the discussion of integrated actions in the field of public health.

Indexed as

AdultCardiovascular DiseasesComputational BiologyDiabetes MellitusHumansHypertensionLongitudinal StudiesPublic Health

Identifiers

PMID26171854
PMCPMC4501838
OpenAlexW881363245

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.