Evidence map›Paper›PMID 36854586›Full record

ArticleBMJ open2023

Validating a clinical laboratory parameter-based deisolation algorithm for patients with COVID-19 in the intensive care unit using viability PCR: the CoLaIC multicentre cohort study protocol.

Tom Schoenmakers, Bas C T van Bussel, Stefan H M Gorissen, Inge H M van Loo, Frank van Rosmalen, Wilhelmine P H G Verboeket-van de Venne, Petra F G Wolffs, Walter N K A van Mook, Mathie P G Leers, CoLaIC-consortium and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. 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
0.6field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

11 authors at 3 institutions in 1 country.

Tom SchoenmakersDepartment of Clinical Chemistry and Hematology, Zuyderland Medical Centre, Sittard-Geleen/Heerlen, The Netherlands t.schoenmakers@zuyderland.nl.ORCID 0000-0002-1576-7832
Bas C T van BusselDepartment of Intensive Care, Maastricht University Medical Centre+, Maastricht, The Netherlands.ORCID 0000-0003-1621-7848
Stefan H M GorissenZuyderland Academy, Zuyderland Medical Centre, Sittard-Geleen/Heerlen, The Netherlands.ORCID 0000-0003-3737-9053
Inge H M van LooCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-5960-4357
Frank van RosmalenDepartment of Intensive Care, Maastricht University Medical Centre+, Maastricht, The Netherlands.ORCID 0000-0002-9522-3711
Wilhelmine P H G Verboeket-van de VenneDepartment of Clinical Chemistry and Hematology, Zuyderland Medical Centre, Sittard-Geleen/Heerlen, The Netherlands.ORCID 0000-0003-4980-0116
Petra F G WolffsCare and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-5326-3985
Walter N K A van MookDepartment of Intensive Care, Maastricht University Medical Centre+, Maastricht, The Netherlands.ORCID 0000-0003-2398-8878
Mathie P G LeersDepartment of Clinical Chemistry and Hematology, Zuyderland Medical Centre, Sittard-Geleen/Heerlen, The Netherlands.ORCID 0000-0001-5186-5600
CoLaIC-consortium
CoLaICconsortium
Maastricht University Medical Centre · NLZuyderland Medisch Centrum · NLMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo investigate whether biochemical and haematological changes due to the patient's host response (CoLab algorithm) in combination with a SARS-CoV-2 viability PCR (v-PCR) can be used to determine when a patient with COVID-19 is no longer infectious.We hypothesise that the CoLab algorithm in combination with v-PCR can be used to determine whether or not a patient with COVID-19 is infectious to facilitate the safe release of patients with COVID-19 from isolation. METHODS AND ANALYSIS: This study consists of three parts using three different cohorts of patients. All three cohorts contain clinical, vital and laboratory parameters, as well as logistic data related to isolated patients with COVID-19, with a focus on intensive care unit (ICU) stay. The first cohort will be used to develop an algorithm for the course of the biochemical and haematological changes of the host response of the COVID-19 patient. Simultaneously, a second prospective cohort will be used to investigate the algorithm derived in the first cohort, with daily measured laboratory parameters, next to conventional SARS-CoV-2 reverse transcriptase PCRs, as well as v-PCR, to confirm the presence of intact SARS-CoV-2 particles in the patient. Finally, a third multicentre cohort, consisting of retrospectively collected data from patients with COVID-19 admitted to the ICU, will be used to validate the algorithm. ETHICS AND DISSEMINATION: This study was approved by the Medical Ethics Committee from Maastricht University Medical Centre+ (cohort I: 2020-1565/300523) and Zuyderland MC (cohorts II and III: METCZ20200057). All patients will be required to provide informed consent. Results from this study will be disseminated via peer-reviewed journals and congress/consortium presentations.

Indexed as

COVID-19Laboratories, ClinicalAlgorithmsCOVID-19 TestingHumansIntensive Care UnitsMulticenter Studies as TopicPolymerase Chain ReactionProspective StudiesRetrospective StudiesSARS-CoV-2Clinical chemistryCOVID-19Diagnostic microbiologyEpidemiologyHAEMATOLOGYINTENSIVE & CRITICAL CARE

Identifiers

PMID36854586
PMCPMC9979582
OpenAlexW4322619374

What OpenQuestion holds

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LicenceCC BY-NC
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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.