Evidence map›Paper›PMID 37443637›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Laboratory Automation in Microbiology: Impact on Turnaround Time of Microbiological Samples in COVID Time.

Carla Fontana, Marco Favaro, Marco Pelliccioni, Silvia Minelli, Maria Cristina Bossa, Anna Altieri, Carlo D'Orazi, Federico Paliotta, Oriana Cicchetti, Marilena Minieri and 3 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. 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
1.0field-weighted citation impact, top 26% 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, 5 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
  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

13 authors at 4 institutions in 1 country.

Carla FontanaNational Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, 00149 Rome, Italy.ORCID 0000-0003-2198-1947
Marco FavaroDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Marco PelliccioniLaboratory of Microbiology, Polyclinic of "Tor Vergata", 00133 Rome, Italy.
Silvia MinelliLaboratory of Microbiology, Polyclinic of "Tor Vergata", 00133 Rome, Italy.
Maria Cristina BossaLaboratory of Microbiology, Polyclinic of "Tor Vergata", 00133 Rome, Italy.
Anna AltieriLaboratory of Microbiology, Polyclinic of "Tor Vergata", 00133 Rome, Italy.
Carlo D'OraziLaboratory of Microbiology, Polyclinic of "Tor Vergata", 00133 Rome, Italy.
Federico PaliottaLaboratory of Microbiology, Polyclinic of "Tor Vergata", 00133 Rome, Italy.
Oriana CicchettiLaboratory of Microbiology, Polyclinic of "Tor Vergata", 00133 Rome, Italy.
Marilena MinieriDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Carla PreziosoLaboratory of Microbiology of Chronic-Neurodegenerative Diseases, IRCCS San Raffaele Roma, 00166 Rome, Italy.
Dolores LimongiLaboratory of Microbiology of Chronic-Neurodegenerative Diseases, IRCCS San Raffaele Roma, 00166 Rome, Italy.
Cartesio D'agostiniDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Policlinico Tor Vergata · ITUniversity of Rome Tor Vergata · ITVita-Salute San Raffaele University · ITIstituto Nazionale per le Malattie Infettive Lazzaro Spallanzani · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLaboratory Automation (LA) is an innovative technology that is currently available for microbiology laboratories. LA can be a game changer by revolutionizing laboratory workflows through efficiency improvement and is also effective in the organization and standardization of procedures, enabling staff requalification. It can provide an important return on investment (time spent redefining the workflow as well as direct costs of instrumentation) in the medium to long term.

methodsHere, we present our experience with the WASPLab

resultsTAT recorded over time showed a significant decrease: from 97 h to 53.5 h (Δ43.5 h) for BCs and from 73 h to 58 h (Δ20 h) for BLs. Despite the introduction of the WASPLab

conclusionsLA can significantly enhance laboratory performance and, due to the significant reduction in reporting time, can have an effective impact on clinical choices and therefore on patient outcomes. Therefore, the initial costs of LA adoption must be considered worthwhile.

Indexed as

enhance laboratory performancefast trackgame changer game changerlaboratory workflowsstaff shortagetotal lab automationturn-around time

Identifiers

PMID37443637
PMCPMC10340299
OpenAlexW4382941163

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.