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Record W3170065302 · doi:10.14740/cii128

Post-COVID-19 Syndrome or Long COVID: From Patient Symptoms to Current Pathophysiological Hypotheses

2021· article· en· W3170065302 on OpenAlexvenueno aff
Anna Maria Peluso, Oriana Infante, Ersilia Arvonio, Emanuele Durante‐Mangoni

Bibliographic record

VenueClinical Infection and Immunity · 2021
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePalpitationsCoronavirus disease 2019 (COVID-19)DiseaseAbdominal painIntensive care medicineChronic fatigue syndromeInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Mounting evidence supports the existence of significant sequelae of coronavirus disease 2019 (COVID-19), the so-called post-COVID-19 syndrome or long COVID, whose real incidence is unknown. Paradigmatic examples of this syndrome, whose pathogenesis and mechanisms are currently being investigated, emerge from outpatient consultations of persons who recovered from COVID-19. These patients are deeply involved psychologically and struggle to find the cause of their symptoms. They often look for other long COVID patients on the web, sharing diagnostic workup and therapeutic choices that, however, are not defined at present. There is no specific clinical definition of long-term COVID-19 agreed by the medical community. The clinical picture can be extremely variable, including non-specific symptoms, such as fatigue and low-grade fever, or symptoms that could be related to organ damage, such as cough, breathlessness, palpitations, joint pain and abdominal pain. Residual organ injury can be detected through routine investigations. Persistent symptoms following COVID-19 include symptoms related to chronic inflammation, symptoms related to organ damage and symptoms related to hospitalization and/or isolation. Having been affected by COVID-19 may have a profound impact on patients mental health. Moreover, persistent direct viral effects have been advocated as a possible cause of long COVID-19, including neuronal injury, post-viral post-traumatic stress disorder and mast cell activation syndrome. Also, several drugs are possibly involved in post-COVID-19 syndrome onset. At present, no defined treatment for this syndrome can be recommended. Its impact in terms of morbidity and late mortality has yet to be determined. Since studies have been limited by a relatively short follow-up of post-acute patients, well-designed, prospective, long-term follow-up studies are clearly warranted. Clin Infect Immun. 2021;6(2):34-39 doi: https://doi.org/10.14740/cii128

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.004
Scholarly communication0.0020.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.078
GPT teacher head0.407
Teacher spread0.329 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2021
Admission routes1
Has abstractyes

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