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Record W4394580712 · doi:10.12680/balneo.2024.670

Latest discoveries related to taste and smell disorders in patients with post-COVID-19 and other neuroviruses – a systematic literature review

2024· article· en· W4394580712 on OpenAlexaff
Horia Goldstein, Gelu Onose, Bianca Azamfirei, Dafin F. Mureșanu

Bibliographic record

VenueBalneo and PRM Research Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)Taste2019-20 coronavirus outbreakTaste disorderSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicinePsychologyVirologyNeurosciencePathologyDiseaseOutbreakInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Abstract: Introduction: The SARS CoV-2 infection, responsible for COVID-19, has spread worldwide starting with the end of 2019, with major impact in the years 2020 and 2021, especially through the alpha, beta, and delta strains respectively. These strains have also been associated with the development of symptoms of anosmia and ageusia, even after overcoming the acute form of the disease, as part of the post-COVID-19 sequalae that make up the so-called “long-Covid”. [1] The purpose of this systematic literature review was to study these disabling symptoms in the context of long-COVID syndrome. Material and methods: In order to accomplish this review, we used the method Preferred Reporting Items for Systematic Reviews and Meta-Analyses (acronym - PRISMA) to filter and select the articles of interest that appeared in the period 1/01/2021-31/12/2022, in the international medical databases: Elsevier, NCBI/ PubMed,NCBI/ PMC and PEDro (= Physiotherapy Evidence Database classification), as well as ISI Web of Knowledge (Institute for Scientific Information - ex Thomson Reuters - Clarivate Analytics). We used the keywords for the selection: "COVID-19" / "viral neuroinfections" + "smell" /”olphactory” + "taste" /”gustatory”+ "anosmia" + 'ageusia' +'recovery'+'rehabilitation'. Results and discussion: After applying indirect and then direct quantitative and qualitative filtering, 25 articles remained that met the selection criteria (noted in order of relevance in table 1, at the end of the article). We also added a number of freely identified papers, considered relevant to our topic. We studied aspects of the "long-COVID" syndrome, mainly related to neuro-psychiatric symptoms - especially taste and smell disorders (anosmia/ageusia), risk factors, predictors for this status, pathophysiology, their intricate mechanism of action, frequency of symptoms, neuroanatomy imaging correlated with clinical aspects, effect of anosmia and ageusia on quality of life, recovery from such sequelae, favorable/unfavorable prognostic factors in this regard. Conclusions: Smell and taste are more than just simple sensations/perceptions and anosmia/ ageusia does not always recover spontaneously. The category of patients who are left with such permanent qualitative/quantitative alterations requires in-depth study in order to establish standardized and more effective methods of diagnosis, evaluation and treatment and recovery, than those available at the moment. The chosen topic represents a partially studied niche in the current well of knowledge, which will allow us, following the theoretical and practical deepening of the subject, some possible elements of future contribution.

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)0.005
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.008
Bibliometrics0.0130.011
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.351
Teacher spread0.336 · 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 designSystematic review
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

Citations2
Published2024
Admission routes1
Has abstractyes

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