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Record W4388281522 · doi:10.1080/24740527.2023.2272999

Post-Viral Pain, Fatigue, and Sleep Disturbance Syndromes: Current Knowledge and Future Directions

2023· article· en· W4388281522 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCanadian Journal of Pain · 2023
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsToronto General HospitalUniversity Health NetworkUniversity of Toronto
FundersUniversity of Toronto
KeywordsMedicineNeurocognitiveEtiologyIntensive care medicineModalitiesNarrative reviewSleep disorderPathophysiologyPsychiatryCognitionInternal medicine

Abstract

fetched live from OpenAlex

Background: Post-viral pain syndrome, also known as post-viral syndrome, is a complex condition characterized by persistent pain, fatigue, musculoskeletal pain, neuropathic pain, neurocognitive difficulties, and sleep disturbances that can occur after an individual has recovered from a viral infection.Aims: This narrative review provides a summary of the sequelae of post-viral syndromes, viral agents that cause it, and the pathophysiology, treatment, and future considerations for research and targeted therapies.Methods: Medline, PubMed, and Embase databases were used to search for studies on viruses associated with post-viral syndrome.Conclusion: Much remains unknown regarding the pathophysiology of post-viral syndromes, and few studies have provided a comprehensive summary of the condition, agents that cause it, and successful treatment modalities.With the COVID-19 pandemic continuing to affect millions of people worldwide, the need for an understanding of the etiology of post-viral illness and how to help individuals cope with the sequalae is paramount. RSUM Contexte:Le syndrome de la douleur post-virale, galement connu sous le nom de syndrome postviral, est une affection complexe caractrise par des douleurs persistantes, de la fatigue, des douleurs musculosquelettiques, des douleurs neuropathiques, des difficults neurocognitives et des troubles du sommeil qui peuvent survenir aprs la gurison d'une infection virale.Objectifs: Cette revue narrative prsente un rsum des squelles des syndromes post-viraux, des agents viraux qui les causent, ainsi que de la pathophysiologie, des traitements et des considrations futures pour la recherche et les traitements cibls.Mthodes utilises: Les bases de donnes Medline, PubMed et Embase ont t utilises pour rechercher des tudes sur les virus associs au syndrome post-viral.Conclusion: La physiopathologie des syndromes post-viraux reste largement mconnue et peu d'tudes ont prsent un rsum complet de l'affection, des agents qui la provoquent et des modalits de traitement efficaces.Alors que la pandmie de COVID-19 continue d'affecter des millions de personnes dans le monde, il est primordial de comprendre l'tiologie de la maladie postvirale et de savoir comment aider les individus faire face aux squelles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.285
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it