Evidence map›Paper›PMID 29370200›Full record

ReviewPloS one2018

A systematic approach to analyze the social determinants of cardiovascular disease.

Mireya Martínez-García, Magaly Salinas-Ortega, Iván Estrada-Arriaga, Enrique Hernández-Lemus, Rodrigo García-Herrera, Maite Vallejo

Abstract readReview
In one paragraph

Review in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Innovations in peritoneal dialysis.Nature reviews. Nephrology · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Health workers: cardiovascular risk and occupational stress.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT · 2019
    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.

Mireya Martínez-GarcíaSociomedical Research Department, National Institute of Cardiology, Mexico City, Mexico.
Magaly Salinas-OrtegaSociomedical Research Department, National Institute of Cardiology, Mexico City, Mexico.
Iván Estrada-ArriagaSociomedical Research Department, National Institute of Cardiology, Mexico City, Mexico.
Enrique Hernández-LemusComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
Rodrigo García-HerreraComputational Genomics Division, National Institute of Genomic Medicine, Mexico City, Mexico.
Maite VallejoSociomedical Research Department, National Institute of Cardiology, Mexico City, Mexico.ORCID 0000-0001-5074-2473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases are the leading cause of human mortality worldwide. Among the many factors associated with the etiology, incidence, and evolution of such diseases; social and environmental issues constitute an important and often overlooked component. Understanding to a greater extent the scope to which such social determinants of cardiovascular diseases (SDCVD) occur as well as the connections among them would be useful for public health policy making. Here, we will explore the historical trends and associations among the main SDCVD in the published literature. Our aim will be finding meaningful relations among those that will help us to have an integrated view on this complex phenomenon by providing historical context and a relational framework. To uncover such relations, we used a data mining approach to the current literature, followed by network analysis of the interrelationships discovered. To this end, we systematically mined the PubMed/MEDLINE database for references of published studies on the subject, as outlined by the World Health Organization's framework on social determinants of health. The analyzed structured corpus consisted in circa 1190 articles categorized by means of the Medical Subheadings (MeSH) content-descriptor. The use of data analytics techniques allowed us to find a number of non-trivial connections among SDCVDs. Such relations may be relevant to get a deeper understanding of the social and environmental issues associated with cardiovascular disease and are often overlooked by traditional literature survey approaches, such as systematic reviews and meta-analyses.

Indexed as

Social Determinants of HealthCardiovascular DiseasesData Interpretation, StatisticalData MiningFemaleGlobal HealthHumansMaleMEDLINERisk FactorsSemantic WebWorld Health Organization

Identifiers

PMID29370200
PMCPMC5784921

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.