Rafael Parra-Medina

Dr. Rafael Parra-Medina


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 April 2021 in Acta Haematologica
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RPRafael Parra-Medina
Rafael Parra-Medina
SHSabrina Herrera
Sabrina Herrera
JMJaime Mejia
Jaime Mejia
Background: Histopathological analysis can provide additional clues in COVID-19 understanding. During the last year, autopsy reports have revealed that diffuse alveolar damage (DAD) is the most significant observed finding. The aim of this study is to review cases in the literature about COVID-19 autopsies that reported microthrombi in different organs. Methods: We performed a systematic literature review in PubMed, Virtual Health Library (VHL), and Google Scholar. Results: In total, 151 autopsies were included, and 91 cases presented microthrombi in the lung (73%), heart (11.2%), kidney (24%), and liver (16.3%). The age range was between 27 and 96 years. Males were 64.8%. The patients with microthrombi had more comorbidities such as arterial hypertension (62%), obesity or overweight (64%), diabetes mellitus type 2 (51%), and heart disease (53%). The most common histopathological changes found in patients with lung microthrombosis were DAD in exudative phase (78%), pulmonary embolism (59%), and lung infarct (81%). Presence of microthrombi was associated with arterial hypertension (p < 0.0001) and DAD in exudative and proliferative phases (p = 0.02). Discussion: The analysis of these results shows that microthrombi in COVID-19 autopsies may be found in different organs and are more frequent in patients with comorbidities, pulmonary embolism, and lung infarct.

5 May 2015 in PLOS ONE
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RPRafael Parra-Medina
Rafael Parra-Medina
NMNicolás Molano-Gonzalez
Nicolás Molano-Gonzalez
ARAdriana Rojas-Villarraga
Adriana Rojas-Villarraga
NANancy Agmon-Levin
Nancy Agmon-Levin
MAMaria-Teresa Arango
Maria-Teresa Arango
Juan-Manuel AnayaJuan-Manuel Anaya
Juan-Manuel Anaya
Celiac disease (CD) is an immune-mediated enteropathy triggered by the ingestion of gluten in susceptible individuals, and its prevalence varies depending on the studied population. Given that information on CD in Latin America is scarce, we aimed to investigate the prevalence of CD in this region of the world through a systematic review and meta-analysis. This was a two-phase study. First, a cross-sectional analysis from 981 individuals of the Colombian population was made. Second, a systematic review and meta-regression analysis were performed following the Preferred Reporting Items for Systematic Meta- Analyses (PRISMA) guidelines. Our results disclosed a lack of celiac autoimmunity in the studied Colombian population (i.e., anti-tissue transglutaminase (tTG) and IgA anti-endomysium (EMA)). In the systematic review, 72 studies were considered. The estimated prevalence of CD in Latin Americans ranged between 0.46% and 0.64%. The prevalence of CD in first-degree relatives of CD probands was 5.5%. The coexistence of CD and type 1 diabetes mellitus varied from 4.6% to 8.7%, depending on the diagnosis methods (i.e., autoantibodies and/or biopsies). Although CD seems to be a rare condition in Colombians; the general prevalence of the disease in Latin Americans seemingly corresponds to a similar scenario observed in Europeans.

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ICInmaculada Ribera Cortada
Inmaculada Ribera Cortada
JGJose Guerrero
Jose Guerrero
ITIsabel Trias
Isabel Trias
LVLuis Veloza
Luis Veloza
AGAdriana Garcia
Adriana Garcia
Natalia RakislovaNatalia Rakislova
Natalia Rakislova
Penile squamous cell carcinoma (PSCC) is a rare but aggressive neoplasm with dual pathogenesis (human papillomavirus (HPV)-associated and HPV-independent). The development of targeted treatment is hindered by poor knowledge of the molecular landscape of PSCC. We performed a thorough review of genetic alterations of PSCC focused on somatic mutations and/or copy number alterations. A total of seven articles have been identified which, overall, include 268 PSCC. However, the series are heterogeneous regarding methodologies employed for DNA sequencing and HPV detection together with HPV prevalence, and include, in general, a limited number of cases, which results in markedly different findings. Reported top-ranked mutations involve TP53, CDKN2A, FAT1, NOTCH-1 and PIK3CA. Numerical alterations involve gains in MYC and EGFR, as well as amplifications in HPV integration loci. A few genes including TP53, CDKN2A, PIK3CA and CCND1 harbor both somatic mutations and copy number alterations. Notch, RTK-RAS and Hippo pathways are frequently deregulated. Nevertheless, the relevance of the identified alterations, their role in signaling pathways or their association with HPV status remain elusive. Combined targeting of different pathways might represent a valid therapeutic approach in PSCC. This work calls for large-scale sequencing studies with robust HPV testing to improve the genomic understanding of PSCC.

1 August 2021 in Reumatología Clínica
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GMGiovanni Montealegre-Gómez
Giovanni Montealegre-Gómez
EGEdgar Garavito
Edgar Garavito
AGArley Gómez-López
Arley Gómez-López
ARAdriana Rojas-Villarraga
Adriana Rojas-Villarraga
RPRafael Parra-Medina
Rafael Parra-Medina

21 December 2022 in Cancers
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AMAndres Mosquera
Andres Mosquera
LLLaëtitia Launet
Laëtitia Launet
ZTZahra Tabatabaei
Zahra Tabatabaei
RPRafael Parra-Medina
Rafael Parra-Medina
ACAdrián Colomer
Adrián Colomer
VNValery Naranjo
Valery Naranjo
The rise of Artificial Intelligence (AI) has shown promising performance as a support tool in clinical pathology workflows. In addition to the well-known interobserver variability between dermatopathologists, melanomas present a significant challenge in their histological interpretation. This study aims to analyze all previously published studies on whole-slide images of melanocytic tumors that rely on deep learning techniques for automatic image analysis. Embase, Pubmed, Web of Science, and Virtual Health Library were used to search for relevant studies for the systematic review, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Articles from 2015 to July 2022 were included, with an emphasis placed on the used artificial intelligence methods. Twenty-eight studies that fulfilled the inclusion criteria were grouped into four groups based on their clinical objectives, including pathologists versus deep learning models (n = 10), diagnostic prediction (n = 7); prognosis (n = 5), and histological features (n = 6). These were then analyzed to draw conclusions on the general parameters and conditions of AI in pathology, as well as the necessary factors for better performance in real scenarios.

15 September 2023 in Lung Cancer
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RPRafael Parra-Medina
Rafael Parra-Medina
JCJuan Pablo Castañeda-González
Juan Pablo Castañeda-González
LMLuisa Montoya
Luisa Montoya
MGMaría Paula Gómez-Gómez
María Paula Gómez-Gómez
DCDaniel Clavijo Cabezas
Daniel Clavijo Cabezas
MVMerideidy Plazas Vargas
Merideidy Plazas Vargas