Evidence map›Paper›PMID 34828358›Full record

ArticleGenes2021

A Comprehensive, Targeted NGS Approach to Assessing Molecular Diagnosis of Lysosomal Storage Diseases.

Valentina La Cognata, Sebastiano Cavallaro

Open access · goldAbstract read
In one paragraph

Article in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. [Considerations on pathological diagnosis of inherited metabolic liver disease].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Article
  6. Review
  7. Review
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

2 authors at 1 institution in 1 country.

Valentina La CognataInstitute for Biomedical Research and Innovation (IRIB), National Research Council (CNR), 95126 Catania, Italy.
Sebastiano CavallaroInstitute for Biomedical Research and Innovation (IRIB), National Research Council (CNR), 95126 Catania, Italy.ORCID 0000-0001-7590-1792
Institute for Biomedical Research and Innovation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With over 60 different disorders and a combined incidence occurring in 1:5000-7000 live births, lysosomal storage diseases (LSDs) represent a major public health problem and constitute an enormous burden for affected individuals and their families. Several reasons make the diagnosis of LSDs an arduous task for clinicians, including the phenotype and penetrance variability, the shared signs and symptoms, and the uncertainties related to biochemical enzymatic assay results. Developing a powerful diagnostic tool based on next generation sequencing (NGS) technology may help reduce the delayed diagnostic process for these families, leading to better outcomes for current therapies and providing the basis for more appropriate genetic counseling. Herein, we employed a targeted NGS-based panel to scan the coding regions of 65 LSD-causative genes. A reference group sample (

Indexed as

MutationCase-Control StudiesEarly DiagnosisFemaleGenetic Predisposition to DiseaseGenetic TestingHigh-Throughput Nucleotide SequencingHumansLysosomal Storage DiseasesPenetranceSensitivity and SpecificitySequence Analysis, DNAdiagnosislysosomal storage disease (LSDs)targeted next generation sequencing (tNGS)

Identifiers

PMID34828358
PMCPMC8617937
OpenAlexW3208192701

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.