Evidence map›Paper›PMID 30481188›Full record

ArticlePloS one2018

Workload measurement for molecular genetics laboratory: A survey study.

Enrico Tagliafico, Isabella Bernardis, Marina Grasso, Maria Rosaria D'Apice, Cristina Lapucci, Annalisa Botta, Daniela Francesca Giachino, Maria Marinelli, Paola Primignani, Silvia Russo and 9 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. In-silico Analysis ofInternational journal of molecular sciences · 2020
    Article
  4. Article
  5. 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

19 authors at 11 institutions in 2 countries.

Enrico TagliaficoCenter for Genome Research, University of Modena and Reggio Emilia, Modena, Italy.
Isabella BernardisCenter for Genome Research, University of Modena and Reggio Emilia, Modena, Italy.
Marina GrassoLaboratory of Human Genetics, Galliera Hospital, Genoa, Italy.
Maria Rosaria D'ApiceMedical Genetics Laboratory, Tor Vergata Hospital, Rome, Italy.
Cristina LapucciMedical Genetics and Molecular Biology Unit, Synlab Italy, Brescia, Italy.
Annalisa BottaDept. Biomedicine and Prevention, Medical Genetics Section, Tor Vergata University of Rome, Rome, Italy.
Daniela Francesca GiachinoMedical Genetics, University of Torino, Dept. Clinical &Biological Sciences, Torino, Italy.
Maria MarinelliGenetics Laboratory Unit, Department of Obstetrics and Pediatrics, AUSL-IRCCS of Reggio Emilia, Reggio Emilia, Italy.
Paola PrimignaniDepartment of Laboratory Medicine, Medical Genetics, Niguarda Ca' Granda Hospital, Milan, Italy.
Silvia RussoCytogenetics and Molecular Genetics Laboratory, Istituto Auxologico Italiano, I.R.C.C.S., Milan, Italy.
Ilaria SaniGenetica Medica-AOU "A. Meyer" di Firenze, Florence, Italy.
Manuela SeiaMedical Genetics Laboratory; Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Sergio FiniUnit of Medical Genetics Unit, Department of Medical Sciences, University of Ferrara, Ferrara, Italy.
Paola RimessiUnit of Medical Genetics Unit, Department of Medical Sciences, University of Ferrara, Ferrara, Italy.
Elena TenediniCenter for Genome Research, University of Modena and Reggio Emilia, Modena, Italy.
Anna RavaniUnit of Medical Genetics Unit, Department of Medical Sciences, University of Ferrara, Ferrara, Italy.
Maurizio GenuardiIstituto di Medicina Genomica, Università Cattolica Del Sacro Cuore, Fondazione Policlinico Universitario A. Gemelli, Rome, Italy.
Alessandra FerliniUnit of Medical Genetics Unit, Department of Medical Sciences, University of Ferrara, Ferrara, Italy.ORCID 0000-0001-8385-9870
Molecular Genetics Working Group of the Italian Society of Human Genetics, SIGU
University of Ferrara · ITUniversity of Modena and Reggio Emilia · ITAzienda Sanitaria Unità Locale di Reggio Emilia · ITAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · ITEnte Ospedaliero Ospedali Galliera · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITIRCCS Istituto Auxologico Italiano · ITMeyer Children's Hospital · ITOspedale San Luigi Gonzaga · ITUniversità Cattolica del Sacro Cuore · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic testing availability in the health care system is rapidly increasing, along with the diffusion of next-generation sequencing (NGS) into diagnostics. These issues make imperative the knowledge-drive optimization of testing in the clinical setting. Time estimations of wet laboratory procedure in Italian molecular laboratories offering genetic diagnosis were evaluated to provide data suitable to adjust efficiency and optimize health policies and costs. A survey was undertaken by the Italian Society of Human Genetics (SIGU). Forty-two laboratories participated. For most molecular techniques, the most time-consuming steps are those requiring an intensive manual intervention or in which the human bias can affect the global process time-performances. For NGS, for which the study surveyed also the interpretation time, the latter represented the step that requiring longer times. We report the first survey describing the hands-on times requested for different molecular diagnostics procedures, including NGS. The analysis of this survey suggests the need of some improvements to optimize some analytical processes, such as the implementation of laboratory information management systems to minimize manual procedures in pre-analytical steps which may affect accuracy that represents the major challenge to be faced in the future setting of molecular genetics laboratory.

Indexed as

Genetic TestingHigh-Throughput Nucleotide SequencingItalyLaboratoriesManagement Information SystemsSurveys and QuestionnairesTime FactorsWorkload

Identifiers

PMID30481188
PMCPMC6258511
OpenAlexW2902470719

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.