Evidence map›Paper›PMID 42277930›Full record

ArticleOrphanet journal of rare diseases2026

The estimated burden of rare diseases in South Africa using Orphanet: an epidemiological analysis.

Helen Louise Malherbe, Sujani Odendaal, Ana Kukava, Caterina Lucano

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Helen Louise MalherbeCentre for Human Metabolomics, Desmond Tutu School of Medicine, Faculty of Health Sciences, North-West University, 11 Hoffmann Street, Potchefstroom, 2531, South Africa. helen.malherbe@nwu.ac.za.ORCID http://orcid.org/0000-0002-9566-6248
Sujani OdendaalIndependent Data Analyst, Roodepoort, Johannesburg, South Africa.
Ana KukavaUS14-Orphanet, INSERM (French National Institute for Health and Medical Research), 96 rue Didot, Paris, 75014, France.ORCID http://orcid.org/0009-0001-1859-3989
Caterina LucanoUS14-Orphanet, INSERM (French National Institute for Health and Medical Research), 96 rue Didot, Paris, 75014, France.ORCID http://orcid.org/0009-0008-3646-7469

Funding

Innovative Pharmaceutical Association South Africa Innovative Pharmaceutical Association South Africa
6 · The paper itself

Abstract

backgroundRare diseases (RDs) collectively affect a significant proportion of the population, yet their burden in South Africa (SA) remains poorly defined due to limited diagnostic capacity and infrastructure, inadequate epidemiological data and poor surveillance systems.

objectiveTo estimate the point prevalence of RDs in SA by integrating Orphanet-derived point prevalence data with national population statistics, identify disease characteristics and affected sub-groups, and assess the proportion of patients requiring high-cost treatments.

methodsA cross-sectional epidemiologic study was conducted using Orphanet's validated methodology and four curated datasets (epidemiology, natural history, functional consequences, and medical domains). Inclusion criteria excluded cancers, infections, poisonings, and conditions without point prevalence data. RDs were classified by direct (population-based) or indirect (case/family report) point prevalence rates integrated with 2024 South African population estimates (n = 63015904). Additional analyses were performed for age of onset, inheritance patterns, medical domains, associated disability, and access to high-cost treatment access in SA.

resultsA total of 3728 RD were included in the study, relating to 58% of unique Orphanet disorder entities. The estimated mean point prevalence of these RDs in SA was 4.8% (range: 3.7%-5.9%), corresponding to 3030204 (range: 2321906-3738503) affected individuals. Only 11% of RDs accounted for 98% of this patient burden. Most conditions had childhood onset (77%) and were inherited in an autosomal recessive (42%) or autosomal dominant (27%) pattern. Approximately 1.33 million (44%) patients in SA are estimated to experience moderate to severe functional disabilities related to the 3728 RD in the study. High-cost treatment was applicable to < 5% of patients for included RD, yet only 25 of 59 globally approved orphan drugs are currently available in SA.

conclusionThis study provides the first national-level, evidence-based estimate of RD prevalence in SA using global Orphanet data. The findings confirm a substantial, mostly paediatric burden, with significant disability and limited treatment access. Results support investment in newborn screening, integrated community genetic services, early diagnosis, and equitable care models. These estimates offer a critical foundation for evidence-based national RD policy development and service planning, and a replicable approach for other low- and middle-income countries.

Indexed as

Rare DiseasesCost of IllnessCross-Sectional StudiesFemaleHumansPrevalenceSouth AfricaBurden of diseaseGenetic diseasesOrphanetPoint prevalenceRare diseasesSouth Africa

Identifiers

PMID42277930
PMCPMC13487910

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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.