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Record W2764204798 · doi:10.1016/j.uroco.2017.09.006

Molecular diagnosis in hypospadias

2017· article· es· W2764204798 on OpenAlexfundno aff
Alejandro Abello, Paola Ayala‐Ramírez, Ana María Ortiz, Nicolás Fernández

Bibliographic record

VenueRevista Urología Colombiana / Colombian Urology Journal · 2017
Typearticle
Languagees
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsnot available
FundersInstitute of GeneticsNational Institutes of HealthPontificia Universidad Javeriana
KeywordsHypospadiasMedicineSanger sequencingGynecologyBiologyDNA sequencingSurgeryGeneticsGene

Abstract

fetched live from OpenAlex

The aim of this study is to perform a systematic review of the principal genetic and molecular diagnostic methods for hypospadias and their usefulness. A Pubmed and EMBASE search was carried out using the following MESH terms: “molecular diagnosis”, “genes”, “hypospadias”, “karyotype”, “wgs”, “fish”, “chg”, “sanger”, “microarray”, “mps”, “wes”, and “gwas”. Meta-analyses, systematic reviews, Cochrane reviews, clinical trials, narrative reviews and case series were included, between 2001 and 2016, in both Spanish and English. A total of 33 items were selected for review after reviewing titles, abstracts, and cross references. Hypospadias are the birth defect of the ventral aspect of the penis, accompanied by an ectopic location of the urethral meatus. 30% of all birth malformations in the newborns are urological malformations make up 30% of all birth malformations in newborns. Within the genetic and molecular test available for diagnosis, many are of varying usefulness. These include, among others, karyotyping, FISH, and Sanger sequencing. Due to advances in technology, there are multiple molecular diagnosis methods that can widen the knowledge of the etiology of hypospadias. They also allow them to be used in the everyday practice for a complete study of patients. Realizar una revisión de la literatura sobre los principales métodos de diagnóstico de las hipospadias a nivel genético y molecular, y su utilidad en esta patología. Se realizó una búsqueda en las diferentes bases de datos como Pubmed y EMBASE con los siguientes términos MESH y sus combinaciones: «molecular diagnosis», «genes», «hipospadias», «karyotipe», «wgs», «fish», «chg», «sanger», «microarray», «mps», «wes» y «gwas». Se incluyeron artículos de metaanálisis, revisiones sistemáticas, revisiones de Cochrane, ensayos clínicos, revisiones narrativas y series de casos, entre 2001 y 2016, tanto en idioma español como en inglés. Se escogieron 33 artículos a partir de títulos, abstracts y referencias cruzadas que fueron incluidos dentro de esta revisión. Las hipospadias son el defecto en el desarrollo del aspecto ventral del pene acompañado de una ubicación ectópica del meato uretral. El 30% de las malformaciones congénitas de los recién nacidos corresponden a una malformación urológica. Dentro de las pruebas genéticas y moleculares que hay disponibles para su diagnóstico, existen múltiples de ellas de utilidad variable. Estas son el cariotipo, el FISH, la secuenciación de Sanger, entre otras. Gracias al avance de la tecnología, son múltiples los métodos de diagnóstico a nivel molecular que han permitido ampliar el conocimiento sobre las causas de hipospadias. Además, permiten en el ámbito de la práctica clínica diaria utilizarlos para realizar un estudio completo de los pacientes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0130.009
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.297
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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