Evidence map›Paper›PMID 37278430›Full record

ArticleBMJ open ophthalmology2023

Colombian Ocular Diseases Epidemiology Study (CODES): incidence and sociodemographic characterisation of keratoconus between 2015 and 2020.

Germán Mejia-Salgado, Carlos Cifuentes-González, William Rojas-Carabali, Laura Zarate-Pinzón, Luisa Fernanda Peña-Pulgar, Diego Polania, Danna Lesley Cruz-Reyes, Alejandra de-la-Torre

Abstract read
In one paragraph

Article in BMJ open ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
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

8 authors.

Germán Mejia-SalgadoNeuroscience Research Group (NEUROS), NeuroVitae Center. Institute of Translational Medicine (IMT). Escuela de Medicina y Ciencias de la Salud. Universidad del Rosario, Bogotá, Colombia.
Carlos Cifuentes-GonzálezNeuroscience Research Group (NEUROS), NeuroVitae Center. Institute of Translational Medicine (IMT). Escuela de Medicina y Ciencias de la Salud. Universidad del Rosario, Bogotá, Colombia.
William Rojas-CarabaliNeuroscience Research Group (NEUROS), NeuroVitae Center. Institute of Translational Medicine (IMT). Escuela de Medicina y Ciencias de la Salud. Universidad del Rosario, Bogotá, Colombia.
Laura Zarate-PinzónNeuroscience Research Group (NEUROS), NeuroVitae Center. Institute of Translational Medicine (IMT). Escuela de Medicina y Ciencias de la Salud. Universidad del Rosario, Bogotá, Colombia.
Luisa Fernanda Peña-PulgarNeuroscience Research Group (NEUROS), NeuroVitae Center. Institute of Translational Medicine (IMT). Escuela de Medicina y Ciencias de la Salud. Universidad del Rosario, Bogotá, Colombia.
Diego PolaniaNeuroscience Research Group (NEUROS), NeuroVitae Center. Institute of Translational Medicine (IMT). Escuela de Medicina y Ciencias de la Salud. Universidad del Rosario, Bogotá, Colombia.
Danna Lesley Cruz-ReyesGrupo de Investigación Clínica, Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá, Colombia.
Alejandra de-la-TorreNeuroscience Research Group (NEUROS), NeuroVitae Center. Institute of Translational Medicine (IMT). Escuela de Medicina y Ciencias de la Salud. Universidad del Rosario, Bogotá, Colombia alejadelatorre@yahoo.com.ORCID 0000-0003-0684-1989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the incidence and describe the demographic characteristics of keratoconus (KC) in Colombia using national health registry data between January 1st 2015 and December 31th 2020. METHODS AND ANALYSIS: We conducted a nationwide, population-based study using the Integrated Social Protection Information System from the Colombian Ministry of Health, the unique official database in the country. We used the International Classification of Diseases code for KC (H186) to identify the number of new cases of KC and estimate the incidence rates both overall and according to age and sex. We made a standard morbidity ratio map to graph Colombia's morbidity risk of KC onset.

resultsOf 50 372 424 subjects, 21 710 had KC between 2015 and 2020. However, due to the COVID-19 pandemic, all the incidence rates of this study were based on the 18 419 reported until 2019. The incidence rate in the general population was 10.36 (95% CI 10.08 to 10.64) per 100 000 inhabitants. The incidence peak among males was in their early 20s and females in their late 20s. The overall male to female incidence rate ratio was 1.60. Regarding the distribution of the disease, most cases were reported in Bogotá (48.64%), Antioquia (14.04%) and Cundinamarca (10.38%).

conclusionWe performed the first nationwide, population-based study of KC in Latin America, finding distribution patterns similar to those reported in the literature. This study provides valuable information on the epidemiology of KC in Colombia, which is helpful in the development of policies for the diagnosis, prevention and treatment of the disease.

Indexed as

COVID-19KeratoconusColombiaFemaleHumansIncidenceMalePandemicscorneaepidemiologypublic health

Identifiers

PMID37278430
PMCPMC10124309

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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.