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Studying severe long COVID to understand post-infectious disorders beyond COVID-19
Petter Brodin, Giorgio Casari, Liam Townsend, Cliona O’Farrelly, Ivan Tancevski, Judith Löffler‐Ragg, Trine H. Mogensen, Jean‐Laurent Casanova, Laurent Abel, Alessandro Aiuti, Saleh Al‐Muhsen, Fahd Al‐Mulla, Mark S. Anderson, Evangelos Andreakos, Andrés A. Arias, Hagit Baris Feldman, Alexandre Bélot, Catherine M. Biggs, Dusan Bogunovic, Alexandre Bolze, Анастасія Бондаренко, Ahmed Aziz Bousfiha, Yenan T. Bryceson, Carlos D. Bustamante, Manish J. Butte, John Christodoulou, Antônio Condino‐Neto, Stefan N. Constantinescu, Megan A. Cooper, Clifton L. Dalgard, Murkesh Desai, Beth A. Drolet, Jamila El Baghdadi, Sara Elva Espinosa‐Padilla, Jacques Fellay, Carlos Flores, José Luis Franco, Antoine Froidure, Peter K. Gregersen, Bodo Grimbacher, Filomeen Haerynck, David Hagin, Rabih Halwani, Lennart Hammarström, James R. Heath, Sarah E. Henrickson, Elena W.Y. Hsieh, Eystein S. Husebye, Kohsuke Imai, Yuval Itan, Erich D. Jarvis, Timokratis Karamitros, Kai Kisand, Cheng‐Lung Ku, YL Lau, Yun Ling, C. Lucas, Tom Maniatis, Davood Mansouri, László Maródi, Isabelle Meyts, Joshua D. Milner, Kristina Mironska, Tomohiro Morio, Lisa F. P. Ng, Antonio Novelli, Giuseppe Novelli, Satoshi Okada, Keisuke Okamoto, Tayfun Özçelık, Qiang Pan‐Hammarström, Jean W. Pape, Rebeca Pérez de Diego, David S. Perlin, Graziano Pesole, Anna M. Planas, Carolina Prando, Aurora Pujol, Lluís Quintana‐Murci, Sathishkumar Ramaswamy, Laurent Rénia, Igor Resnick, Carlos Rodríguez‐Gallego, Vanessa Sancho‐Shimizu, Anna Šedivá, Mikko Seppänen, Mohammed Shahrooei, Anna Shcherbina, Ondřej Slabý, Andrew L. Snow, Pere Soler‐Palacín, András N. Spaan, Stuart G. Tangye, Ahmad Abou Tayoun, Stuart E. Turvey, K. M. Furkan Uddin, Mohammed Uddin, Diederik van de Beek, Donald C. Vinh, Horst von Bernuth, Joost Wauters, Mayana Zatz, Paweł Zawadzki
Bibliographic record
VenueNature Medicine · 2022
Typeletter
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsMcGill University Health CentreGenome CanadaBC Children's HospitalSt. Paul's HospitalUniversity of British Columbia
FundersNIH Clinical CenterInstituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de MéxicoCollege of Medicine, King Saud UniversityInstituto de Salud Carlos IIIPerelman School of Medicine, University of PennsylvaniaUniformed Services University of the Health SciencesUniversity of California, Los AngelesAmsterdam NeuroscienceUniversité Hassan II de CasablancaBerlin-Brandenburger Centrum für Regenerative TherapienUniversité de LyonTartu ÜlikoolLee Kong Chian School of Medicine, Nanyang Technological UniversityHospices Civils de LyonCentral European Institute of TechnologyMedizinische Fakultät der Albert-Ludwigs-Universität FreiburgBilkent ÜniversitesiHackensack Meridian HealthHospital for Sick ChildrenLékařská fakulta, Masarykova univerzitaTokyo Medical and Dental UniversityUniversity of British ColumbiaDasman Diabetes InstituteUniversity of New South WalesTel Aviv UniversityKU LeuvenUniversity of Hong KongInstitució Catalana de Recerca i Estudis AvançatsFudan UniversityAlbert-Ludwigs-Universität FreiburgUniversité de LausanneYale UniversityKarolinska InstitutetNorthwell HealthChang Gung UniversityKing Saud UniversityCentre Hospitalier Universitaire VaudoisMohammed Bin Rashid University of Medicine and Health SciencesImperial College LondonInstituto Tecnológico y de Energías RenovablesMurdoch Children's Research InstituteUniverzita Karlova v PrazeMcGill UniversityMcGill University Health CentreUniversiteit van AmsterdamChang Gung Medical FoundationIrving Medical Center, Columbia UniversityBC Children's HospitalHelsingin YliopistoSemmelweis EgyetemOspedale Pediatrico Bambino GesùVetenskapsrådetHoward Hughes Medical InstituteCliniques Universitaires Saint-LucChildren’s Hospital of Wisconsin Research InstituteInstitut National de la Santé et de la Recherche MédicaleLudwig Institute for Cancer ResearchUniversidad de AntioquiaMasarykova UniverzitaHaukeland UniversitetssjukehusUniversiteit GentUniversity of PennsylvaniaConsejo Superior de Investigaciones CientíficasAgency for Science, Technology and ResearchCentre National de la Recherche ScientifiqueChildren's Hospital of PhiladelphiaUniversidade de São PauloInstituto Nacional de PediatriaUniversitair Ziekenhuis Gent
KeywordsCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PandemicVirologyCoronavirus InfectionsBetacoronavirusPneumoniaSars virusMedicineInfectious disease (medical specialty)OutbreakDiseaseInternal medicine
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.036
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.015 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.013
GPT teacher head0.317
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
Study designNot applicable
Domainnot available
GenreCommentary
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations144
Published2022
Admission routes2
Has abstractno