Evidence map›Paper›PMID 42857194›Full record

ArticleOxford open immunology2026

Patients know best: DESTINIES Patient Panel appraisal of a novel, risk-stratified approach to COVID-19 disease surveillance in the adult immunosuppressed.

Meredith Leston, Ingrid de Groot, José M Ordóñez-Mena, F D Richard Hobbs, Mark Joy, Lennard Y W Lee, Benjamin W Teh, Iain McInnes, Simon de Lusignan

Abstract read
In one paragraph

Article in Oxford open immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Meredith LestonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, United Kingdom.ORCID https://orcid.org/0000-0003-0891-714X
Ingrid de GrootDutch Myositis Working Group, Spierziekten Nederland, Lt.Gen van Heutszlaan 6, Baarn 3743JN, Netherlands.
José M Ordóñez-MenaNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, United Kingdom.
F D Richard HobbsNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, United Kingdom.
Mark JoyNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, United Kingdom.
Lennard Y W LeeDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, OX3 7DQ, United Kingdom.
Benjamin W TehDepartment of Infectious Diseases, Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, VIC 3000, Australia.ORCID https://orcid.org/0000-0003-0213-5470
Iain McInnesMVLS College Office, Wolfson Medical School Building, University of Glasgow, University Avenue, Glasgow, G12 8QQ, United Kingdom.
Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, United Kingdom.ORCID https://orcid.org/0000-0002-8553-2641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immunosuppressed are poorly represented in disease surveillance and pharmacovigilance dataflows, proving especially consequential during the COVID-19 pandemic. This mixed methods study recruited a panel of immunosuppressed patients (DESTINIES Patient Panel) to quality assure a new digital phenotype for COVID-19 risk in the adult immunosuppressed (DESTINIES phenotype) prior to its implementation in real-world surveillance. Applying their lived experiences, the DESTINIES Patient Panel met to critique the strategy and structure of the provisional phenotype before voting on its adoption in UK disease surveillance. They did so anonymously. This convening was hosted and recorded on Zoom; Google Forms collected panellist feedback and their final ratifying vote. Feedback was inductively content analysed. 33 patients that adhered to the DESTINIES phenotype definition of immunosuppression submitted their feedback and final vote. Despite obtaining expressions of interest, no person with drug-managed HIV participated; this was a significant limitation given their unique positioning in the phenotype. However, 88% of panellists approved the DESTINIES phenotype for adoption in the UK, 91% agreed it represented a step forward for COVID-19 disease surveillance, and 91% agreed to see it trialled in other surveillance pathways (RSV, pneumonia etc.). Panellist feedback was catalogued by themes of 'Abandonment', 'Accessibility', 'Accuracy', and 'Omission'. The patient voice is often absent in the dataflows purporting to be in their interest. This is an oversight; certain limitations captured in this exercise were unlikely to have surfaced without patient engagement. The DESTINIES phenotype is made more robust by the collective criticism of expert clinicians and patients alike.

Indexed as

COVID-19disease surveillanceimmunosuppressioninfectious diseasepatient engagement

Identifiers

PMID42857194
PMCPMC13651694

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.