Evidence map›Paper›PMID 35954349›Full record

ReviewCancers2022

The Significance of External Quality Assessment Schemes for Molecular Testing in Clinical Laboratories.

Nele Laudus, Lynn Nijs, Inne Nauwelaers, Elisabeth M C Dequeker

Abstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

Nele LaudusBiomedical Quality Assurance Research Unit, Department of Public Health and Primary Care, KU Leuven, B-3000 Leuven, Belgium.ORCID 0000-0001-6876-3475
Lynn NijsBiomedical Quality Assurance Research Unit, Department of Public Health and Primary Care, KU Leuven, B-3000 Leuven, Belgium.ORCID 0000-0001-7467-7258
Inne NauwelaersBiomedical Quality Assurance Research Unit, Department of Public Health and Primary Care, KU Leuven, B-3000 Leuven, Belgium.ORCID 0000-0003-3577-6776
Elisabeth M C DequekerBiomedical Quality Assurance Research Unit, Department of Public Health and Primary Care, KU Leuven, B-3000 Leuven, Belgium.ORCID 0000-0001-5383-3178

Funding

Foundation Flanders (FWO) 1S65121N
6 · The paper itself

Abstract

External quality assessment (EQA) schemes are a tool for clinical laboratories to evaluate and manage the quality of laboratory practice with the support of an independent party (i.e., an EQA provider). Depending on the context, there are different types of EQA schemes available, as well as various EQA providers, each with its own field of expertise. In this review, an overview of the general requirements for EQA schemes and EQA providers based on international guidelines is provided. The clinical and scientific value of these kinds of schemes for clinical laboratories, clinicians and patients are highlighted, in addition to the support EQA can provide to other types of laboratories, e.g., laboratories affiliated to biotech companies. Finally, recent developments and challenges in laboratory medicine and quality management, for example, the introduction of artificial intelligence in the laboratory and the shift to a more individual-approach instead of a laboratory-focused approach, are discussed. EQA schemes should represent current laboratory practice as much as possible, which poses the need for EQA providers to introduce latest laboratory innovations in their schemes and to apply up-to-date guidelines. By incorporating these state-of-the-art techniques, EQA aims to contribute to continuous learning.

Indexed as

external quality assessmentlaboratory medicinequality improvement

Identifiers

PMID35954349
PMCPMC9367251

What OpenQuestion holds

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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.