Evidence map›Paper›PMID 32155868›Full record

ArticleInternational journal of environmental research and public health2020

The Emulation and Adaptation of a Global Model of Clinical Practice Guidelines on Chronic Heart Failure in BRICS Countries: A Comparative Study.

Tao Liu, Benjamin Quasinowski, André Soares

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. 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

3 authors.

Tao LiuSchool of Public Affairs, Zhejiang University, Hangzhou 310058, China.
Benjamin QuasinowskiFaculty of Social Sciences, University of Duisburg-Essen, 47057 Duisburg, Germany.ORCID 0000-0002-3635-0200
André SoaresFaculty of Social Sciences, University of Duisburg-Essen, 47057 Duisburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whilst knowledge about diseases is universal, access to health care is not equally distributed. During the last decade, the countries of BRICS (Brazil, Russia, India, China, South Africa) have become important actors on the global health scene, pushing for universal, affordable, and more equal access to health care. Although non-communicable diseases place a significant burden on all populations and health systems, low- and middle-income countries (LMIC), such as BRICS, have been affected particularly hard. Approximately 80 percent of worldwide deaths from non-communicable diseases occur in LMIC. We examined if guidelines concerning chronic heart failure from BRICS countries are influenced by global scripts and if these guidelines have converged or diverged in an inter-state context. Our analysis shows that guidelines on heart failure published in BRICS predominantly rely on models initially formulated by European or American cardiological organisations. Guidelines from BRICS deviate from these models to some extent, in particular with regard to specific epidemiological conditions. Except for the Indian guideline, they do not, however, extensively engage with BRICS-specific aspects of costs, access to and affordability of health care services. We interpret these results through the lens of sociological theories on globalisation. Consistent with neoinstitutionalism, recommendations for clinical practice guidelines have spread in BRICS countries in a rather isomorphic fashion. Notwithstanding, some local medical traditions have also been included into these guidelines through localised adaptation and variation.

Indexed as

Heart FailurePractice Guidelines as TopicBrazilChinaHumansIndiaRussiaSouth AfricaBRICSchronic heart failureclinical practice guidelinesglobal healthisomorphismneoinstitutionalismworld-polity

Identifiers

PMID32155868
PMCPMC7084235

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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.