Evidence map›Paper›PMID 35891681›Full record

ReviewAfrican journal of thoracic and critical care medicine2022

Pulmonary hypertension in developing countries: Limiting factors in time to diagnosis, specialised medications and contextualised recommendations.

G J Maarman

Abstract readReview
In one paragraph

Review in African journal of thoracic and critical care medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Observational
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

1 author.

G J MaarmanCentre for Cardio-Metabolic Research in Africa, Division of Medical Physiology, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-3336-5594

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary hypertension (PH) is a fatal disease with no cure. Combination therapy that includes several specialised medications can improve survival and quality of life. However, there are many challenges, and these include a lack of effective screening tools, misdiagnosis and late diagnosis, a lack of awareness among clinicians and patients, expensive PH medication and the unavailability of these medications in many developing countries. Based on the literature, this paper provides helpful approaches and 'out of the box' ideas to try to surmount these challenges. We make the following recommendations: develop better (contextually fitting) screening tools, investigate novel therapeutics or novel drug targets, implement incentivised and accredited training for clinicians and implement awareness campaigns (by using traditional and social media and promoting awareness at healthcare or educational institutions). Other recommendations include greater advocacy that engages public and private funders, combine scarce skills and networks of social sciences and implementation sciences and invite non-profit organisations to the fight against PH in conjunction with researchers. Furthermore, the implementation of breathlessness clinics in rural areas can be helpful, as well as the investigation of the biomarker potential of genetic mutations or unique gene signatures of patients during research. We hope that healthcare professionals, researchers, scientists and regulatory authorities or research bodies, can use our recommendations in a practical setting, especially in developing countries where resources are limited and the healthcare burden is high.

Indexed as

developing countriespulmonary hypertensionSouth Africaspecialised medicationstime to diagnosistreatment options

Identifiers

PMID35891681
PMCPMC9277454

What OpenQuestion holds

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LicenceCC BY-NC
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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.