Evidence map›Paper›PMID 34526762›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2021

A Genotype-Phenotype Analysis of the Bardet-Biedl Syndrome in Puerto Rico.

Gabriel A Guardiola, Fabiola Ramos, Natalio J Izquierdo, Armando L Oliver

Open access · goldAbstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  3. Clinical variability ofBMJ case reports · 2024
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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 at 2 institutions in 1 country.

Gabriel A GuardiolaDepartment of Medicine, Universidad Central del Caribe School of Medicine, Bayamon, PR, USA.ORCID 0000-0002-6823-7843
Fabiola RamosDepartment of Ophthalmology, University of Puerto Rico School of Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan, PR, USA.ORCID 0000-0001-9030-1891
Natalio J IzquierdoDepartment of Surgery, University of Puerto Rico School of Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan, PR, USA.
Armando L OliverDepartment of Ophthalmology, University of Puerto Rico School of Medicine, University of Puerto Rico, Medical Sciences Campus, San Juan, PR, USA.ORCID 0000-0001-7533-6121
University of Puerto Rico, Medical Sciences Campus · PRCentral University of the Caribbean · PR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBardet-Biedl syndrome is a complex heterogeneous ciliopathy caused by genetic mutations. Although establishing genotype-phenotype correlations has been challenging, some regional variations have been previously reported. Due to its relative geographic isolation, Puerto Rico has a greater prevalence of Bardet-Biedl syndrome than do other regions. We sought to characterize the most frequent genotypic variations in a local cohort of Bardet-Biedl syndrome patients and report any genotypic-phenotypic trends.

methodsTwenty-seven patients from an ophthalmology clinic in Puerto Rico with genetically confirmed Bardet-Biedl syndrome took a questionnaire inquiring about their most common symptoms. Ophthalmological information was obtained from patient records. The frequencies of the genotypic variations and symptoms were calculated.

resultsIn the study population,

conclusionOur study was the first detailed genotype-phenotype analysis of the Bardet-Biedl syndrome in Puerto Rico. Genetic mutations in

Indexed as

ciliopathycompound heterozygotespolydactylyretinitis pigmentosa

Identifiers

PMID34526762
PMCPMC8435472
OpenAlexW3197263890

What OpenQuestion holds

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Registered trials

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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.