Evidence map›Paper›PMID 38806176›Full record

ArticleAnnals of clinical biochemistry2024

A SARS-CoV-2 minimum data standard to support national serology reporting.

Esmond Urwin, Joanne Martin, Neil Sebire, Andy Harris, Jenny Johnson, Erum Masood, Gordon Milligan, Lucy Mairs, Antony Chuter, Michael Ferguson and 2 more

Abstract read
In one paragraph

Article in Annals of clinical biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Esmond UrwinDigital Research Service, University of Nottingham, Nottingham, UK.ORCID 0000-0003-4626-2172
Joanne MartinCentre for Genomics and Child Health, Queen Mary University of London, London, UK.
Neil SebireInstitute of Child Health Population Policy and Practice, UCL Great Ormond Street Institute of Child Health, London, UK.
Andy HarrisX-Lab Ltd., Leeds, UK.
Jenny JohnsonSchool of Medicine, University of Dundee, Dundee, UK.ORCID 0000-0002-6755-1267
Erum MasoodSchool of Medicine, University of Dundee, Dundee, UK.
Gordon MilliganSchool of Medicine, University of Dundee, Dundee, UK.ORCID 0000-0002-1171-5234
Lucy MairsX-Lab Ltd., Leeds, UK.
Antony ChuterPublic and Patient Involvement Group, University of Nottingham, Nottingham, UK.ORCID 0000-0002-0646-5939
Michael FergusonSchool of Medicine, University of Dundee, Dundee, UK.
Philip QuinlanSchool of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0002-3012-6646
Emily JeffersonSchool of Medicine, University of Dundee, Dundee, UK.ORCID 0000-0003-2992-7582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare laboratory systems produce and capture a vast array of information, yet do not always report all of this to the national infrastructure within the United Kingdom. The global COVID-19 pandemic brought about a much greater need for detailed healthcare data, one such instance being laboratory testing data. The reporting of qualitative laboratory test results (e.g. positive, negative or indeterminate) provides a basic understanding of levels of seropositivity. However, to better understand and interpret seropositivity, how it is determined and other factors that affect its calculation (i.e. levels of antibodies), quantitative laboratory test data are needed.

method36 data attributes were collected from 3 NHS laboratories and 29 CO-CONNECT project partner organisations. These were assessed against the need for a minimum dataset to determine data attribute importance. An NHS laboratory feasibility study was undertaken to assess the minimum data standard, together with a literature review of national and international data standards and healthcare reports.

resultsA COVID serology minimum data standard (CSMDS) comprising 12 data attributes was created and verified by 3 NHS laboratories to allow national granular reporting of COVID serology results. To support this, a standardised set of vocabulary terms was developed to represent laboratory analyser systems and laboratory information management systems.

conclusionsThis paper puts forward a minimum viable standard for COVID-19 serology data attributes to enhance its granularity and augment the national reporting of COVID-19 serology laboratory results, with implications for future pandemics.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralCOVID-19 Serological TestingHumansLaboratoriesPandemicsUnited KingdomAntibodies, ViralCOVID-19data standardshealthcare terminologyhealthcare vocabularyinteroperabilitylaboratory dataSARS-CoV-2serology

Identifiers

PMID38806176
PMCPMC11528979

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.