Evidence map›Paper›PMID 36777652›Full record

ArticleLancet regional health. Americas2022

Hypophosphatemic Rickets in Colombia: A Prevalence-Estimation Model in Rare Diseases. 2018.

Jancy Andrea Huertas-Quintero, Natalia Losada-Trujillo, Diego Alberto Cuellar-Ortiz, Harvy Mauricio Velasco-Parra

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Article in Lancet regional health. Americas, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jancy Andrea Huertas-QuinteroSchool of Medicine, Universidad Nacional de Colombia - Hospital Universitario Nacional de Colombia, Bogotá, Colombia.
Natalia Losada-TrujilloSchool of Medicine, Universidad Nacional de Colombia - Hospital Universitario Nacional de Colombia, Bogotá, Colombia.
Diego Alberto Cuellar-OrtizMinistry of Health and Social Protection of Colombia, Bogotá, Colombia.
Harvy Mauricio Velasco-ParraSchool of Medicine, Universidad Nacional de Colombia - Hospital Universitario Nacional de Colombia, Bogotá, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypophosphatemic rickets is a rare, genetic syndrome with multisystem involvement. It causes skeletal abnormalities, painful enthesopathies, increased risk of fracture, and short stature; leading to a substantial burden of disease, disability, and worsening of quality of life. To improve health conditions of people living with this disease, it is essential to know its prevalence which is currently unknown in Colombia. This study aimed to estimate the prevalence of hypophosphatemic rickets in Colombia by using a mathematical model and national statistic records. Methods: We executed a model to estimate probabilities of transitions between health, disease, and death states (Markov chains). The model was fed with international prevalences taken from original studies (systematic review) and administrative records' data from SISPRO (a national health information system) using the International Classification of Diseases (ICD-10) E833 code, vital statistics, and census data. World Health Organization's (WHO) DISMOD II software was used to develop the model. Findings: The estimated overall prevalence of hypophosphatemic rickets in Colombia in 2018 was 2·03 cases per 100 000 people (981 affected people), with a sensitive range of 1·97 to 2·09. The estimated prevalence by sex was 2·61 (645 people) and 1·43 (336 people) cases per 100 000 women and men, respectively. Interpretation: Our overall estimated prevalence shows consistency with original international data. This is the first prevalence estimation of hypophosphatemic rickets in Colombia and will be relevant to support public health decisions for rare diseases and to provide a pre-test probability framework in clinical practice. DISMOD II and the model are useful tools to estimate the prevalence of rare and orphan diseases, when probabilistic studies cannot be carried out. There are limited bibliographic resources worldwide reporting prevalence values supported by original studies. Our study can be used as a cost-effective methodology reference in this regard, especially for Latin America. Funding: Ultragenyx Pharmaceutical, as a donation.

Indexed as

ColombiaModels, StatisticalOsteomalaciaprevalenceRare diseasesRickets, Hypophosphatemic

Identifiers

PMID36777652
PMCPMC9904046

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