Evidence map›Paper›PMID 34552724›Full record

ArticleJournal of global health2021

A comparative analysis and review of how national guidelines for chronic disease monitoring are made in low- and middle-income compared to high-income countries.

Elton Mukonda, Maia Lesosky

Abstract read
In one paragraph

Article in Journal of global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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

2 authors.

Elton MukondaDivision of Epidemiology & Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa.
Maia LesoskyDivision of Epidemiology & Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding how clinical practice guidelines and recommendations are adopted in high-income and low-income settings will help contextualise the value and validity of recommendations in different settings. We investigate how major guidelines and recommendations are developed for management and monitoring of post-diagnosis treatment for three important chronic diseases: HIV, hypertension and type 2 diabetes mellitus (T2DM).

methodsEligible guidelines were searched for using PubMed, Google, and health ministry websites for all three conditions. Only guidelines published from 2010 to 2020 were included. The source of the guidelines, year of most recent guideline, and basis of the guidelines were assessed. Additionally, recommendations, the strength of the recommendation and the quality of the evidence for treatment goals of non-pregnant adults and the frequency of monitoring were also extracted and assessed.

resultsOf the 42 countries searched 90%, 71% and 60% had T2DM, hypertension and HIV guidelines outlining targets for long-term management, respectively. Most T2DM guidelines recommend an HbA1c target of ≤7.0% (68%) or ≤6.5% (24%) as the ideal glycaemic target for most non-pregnant adults, while hypertension guidelines recommend blood pressure (systolic blood pressure/diastolic blood pressure) targets of <140/90 mm Hg (94%) and <130/80 mm Hg (6%). Of the identified HIV guidelines, 67% define virological failure as a viral load >1000 copies/mL, with 26%, mostly HICs, defining virological failure as a viral load >200 copies/mL. Recommendations for the frequency of monitoring for any diagnosed patients were available in 18 (55%) of the hypertension guidelines, 25 (93%) of HIV guidelines, and 27 (73%) of the T2DM guidelines. Only a few of the guidelines provide the strength of the recommendation and the quality of the evidence.

conclusionsMost guidelines from LMICs are adopted or adapted from existing HIC guidelines or international and regional organisation guidelines with little consideration for resource availability, contextual factors, logistical issues and general feasibility.

Indexed as

Diabetes Mellitus, Type 2HypertensionAdultDeveloped CountriesHumansIncomeViral Load

Identifiers

PMID34552724
PMCPMC8442582

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LicenceCC BY
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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.