Evidence map›Paper›PMID 39535332›Full record

ArticleEuropean journal of neurology2025

Operationalisation of post-COVID condition case definition in a comprehensive research protocol.

Federico Masserini, Alessia Nicotra, Arianna Forgione, Francesca Calcaterra, Elena Perdixi, Clara Di Vito, Anna Carletti, Chiara Gallo, Pietro Emiliano Doneddu, Fabrizia Terenghi and 5 more

Abstract readMulticenter Study
In one paragraph

Article in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Human brain matters: Navigating the neuropathology of COVID-19.Brain pathology (Zurich, Switzerland) · 2026
    Review
  2. Article
  3. 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

15 authors.

Federico MasseriniDepartment of Biomedical and Clinical Sciences, Neuroscience Research Center, University of Milan, Milan, Italy.
Alessia NicotraDepartment of Biomedical and Clinical Sciences, Neuroscience Research Center, University of Milan, Milan, Italy.
Arianna ForgioneDepartment of Biomedical and Clinical Sciences, Neuroscience Research Center, University of Milan, Milan, Italy.
Francesca CalcaterraUnit of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Elena PerdixiDepartment of Neurology, IRCCS Humanitas Research Hospital, Milan, Italy.
Clara Di VitoUnit of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Anna CarlettiUnit of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Chiara GalloNeuromuscular and Neuroimmunology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.
Pietro Emiliano DonedduNeuromuscular and Neuroimmunology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.
Fabrizia TerenghiNeuromuscular and Neuroimmunology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.
Simone PomatiDepartment of Biomedical and Clinical Sciences, Neuroscience Research Center, University of Milan, Milan, Italy.
Eduardo Nobile-OrazioDepartment of Medical Biotechnologies and Translational Medicine (BioMeTra), University of Milan, Milan, Italy.ORCID 0000-0003-2624-8138
Agostino RivaDepartment of Biomedical and Clinical Sciences, Neuroscience Research Center, University of Milan, Milan, Italy.
Domenico MavilioUnit of Clinical and Experimental Immunology, IRCCS Humanitas Research Hospital, Milan, Italy.
Leonardo PantoniDepartment of Biomedical and Clinical Sciences, Neuroscience Research Center, University of Milan, Milan, Italy.ORCID 0000-0001-7357-8530

Funding

European Commission 101057775
6 · The paper itself

Abstract

background and purposePost-COVID-19 condition (PCC) is a prevalent and high-burden sequela of SARS-CoV-2 infection. Because of the complexity of its manifestations, PCC case definition currently lacks standardisation and reproducibility. We aimed to devise a simple screening tool to boost reproducibility and comparability of PCC case definition across PCC studies, and to provide a framework in which to reliably identify suspected PCC cases. We also developed a comprehensive assessment protocol based on the most frequently reported PCC characteristics.

methodsWithin a European multi-centre study and based on the conclusions of a previous systematic review, we devised a checklist to assess the presence of PCC-associated symptoms and their temporal relationship with COVID-19.

resultsThe checklist was developed to include three symptom cores (cognitive, psychiatric, and general). For each symptom, onset is assessed within 3 months after COVID-19 resolution and persistence for at least 2 months. Any symptom fulfilling this criterion is sufficient to prompt suspicion of PCC. At least one symptom is required in the cognitive or psychiatric domains to suspect PCC with neuropsychiatric involvement. Our protocol features an extensive neuropsychological evaluation and self-administered scales for mood, anxiety, stress-related symptoms, sleep disorders, quality of life, disability, mental health, and personality traits; scales for quantitative assessment of fatigue and headache are also included.

conclusionsConsistent identification of PCC cases is crucial to correctly include patients in research and clinical studies. We propose a simple, reproducible, and flexible screening tool and a proposal for a comprehensive assessment that could be employed to enhance standardisation and comparability.

Indexed as

COVID-19ChecklistHumansMental DisordersNeuropsychological TestsPost-Acute COVID-19 SyndromeReproducibility of ResultsSARS-CoV-2case definitioncognitiveCOVID‐19post‐COVID conditionpsychiatric

Identifiers

PMID39535332
PMCPMC11625920

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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.