Evidence map›Paper›PMID 31741787›Full record

ArticlePeerJ2019

Identification of novel

Arianna Nicolussi, Francesca Belardinilli, Valentina Silvestri, Yasaman Mahdavian, Virginia Valentini, Sonia D'Inzeo, Marialaura Petroni, Massimo Zani, Sergio Ferraro, Stefano Di Giulio and 7 more

Abstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. BRACNAC: AInternational journal of molecular sciences · 2023
    Article
  2. 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

17 authors.

Arianna NicolussiDepartment of Experimental Medicine, University of Roma "La Sapienza", Roma, Italy.
Francesca BelardinilliDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.
Valentina SilvestriDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.
Yasaman MahdavianDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.
Virginia ValentiniDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.
Sonia D'InzeoU.O.C. Microbiology and Virology Laboratory, A.O. San Camillo Forlanini, Roma, Italy.
Marialaura PetroniIstituto Italiano di Tecnologia, Center for Life Nano Science @ Sapienza, Roma, Italy.
Massimo ZaniDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.
Sergio FerraroDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.
Stefano Di GiulioDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.
Francesca FabrettiDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.
Beatrice FratiniDepartment of Experimental Medicine, University of Roma "La Sapienza", Roma, Italy.
Angela GradiloneDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.
Laura OttiniDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.
Giuseppe GianniniDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.
Anna CoppaDepartment of Experimental Medicine, University of Roma "La Sapienza", Roma, Italy.
Carlo CapalboDepartment of Molecular Medicine, University of Roma "La Sapienza", Roma, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic testing for

methodsWe first used NGS data of a group of three patients (training set), previously screened in our laboratory by conventional methods, to develop an algorithm for the calculation of the dosage quotient (DQ) to be compared with the Ion Reporter (IR) analysis. Then, we tested the optimized pipeline with a consecutive cohort of 85 uncharacterized probands (validation set) also subjected to MLPA analysis. Characterization of the breakpoints of three novel

resultsIn our cohort, the newly defined DQ-based algorithm detected 3/3

conclusionsOur study defined a DQ-based algorithm to identify

Indexed as

Analytical validationBRCA1 LGRsDeep coverageDQ analysisMLPANGS

Identifiers

PMID31741787
PMCPMC6859874

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.