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Record W3109716616

Promising preventive and therapeutic effects of TaibUVID nutritional supplements for COVID-19 pandemic: towards better public prophylaxis and treatment (A retrospective study).

2020· article· en· W3109716616 on OpenAlex
Salah Mohamed El Sayed, Moutasem Salih Aboonq, Amr Gamal El Rashedy, Yasmeen Talal Aljehani, Rabab M Abou El-Magd, Ahmed M. Okashah, Mariam E El-Anzi, Mansour Barakah Alharbi, Rehab El-Tahlawi, Manal Mohamed Helmy Nabo, Reda S Yousef, Momen Elshazley, Mostafa Abu-Elnaga, Hany Salah Mahmoud, Hassan El-Alaf, Abdelrahman Ibrahim Abdelrahman, Abdelhady Ragab Abdel-Gawad, Tamer M. Soliman

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.

Bibliographic record

VenuePubMed · 2020
Typearticle
Languageen
FieldMedicine
TopicNigella sativa pharmacological applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineMalaiseSore throatInternal medicinePneumoniaDysgeusiaTraditional medicineAdverse effectSurgery
DOInot available

Abstract

fetched live from OpenAlex

Adjuvant nutritional treatment is a commonly overlooked topic when treating lethal viral diseases as COVID-19 pandemic. We recently introduced TaibUVID nutritional supplements (nigella sativa, chamomile and natural honey) as adjuvants for COVID-19 contacts, patients and public prophylaxis. TaibUVID Forte adds costus, senna and fennel to TaibUVID. Meta-analyses and systematic reviews confirmed evidence-based therapeutic benefits of TaibUVID components in treating many human diseases e.g. diabetes mellitus and hypertension, common co-morbidities in COVID-19 patients. Double-blind clinical trials for treating COVID-19 patients with TaibUVID supplements were inapplicable. In this retrospective study in Egypt, COVID-19 patients and contacts knew TaibUVID via social media and voluntarily used them. 65% of COVID-19 patients (n = 13) received both pharmacological treatments and adjuvant TaibUVID nutritional supplements. 35% (n = 7) received TaibUVID only. Lymphopenia rapidly improved to lymphocytosis upon regular TaibUVID intake. TaibUVID nutritional supplements helped COVID-19 contacts' prophylaxis. 70% of COVID-19 contacts (n = 14) (on regular TaibUVID intake) did not get SARS-COV2 infection. 30% (n = 6) were not using TaibUVID regularly and got mild flu-like symptoms and upon using both TaibUVID and pharmacological treatments, all improved and got negative nasopharyngeal swabs PCR. COVID-19 contacts were mainly physicians (40%, n = 8) (dealing with COVID-19 patients daily) and members of physicians' families (45%). Main presentations reported by COVID-19 patients (n = 20) were cough (90%), fever (55%), anosmia (45%), taste loss (45%), sore throat (45%), respiratory difficulty (45%) and malaise (35%). TaibUVID inhalation therapy (nigella sativa/anthemis/costus solution nebulization) was used by 65% of COVID-19 patients (n = 13) and alleviated respiratory manifestations e.g. cough and respiratory difficulty and was life-saving in some cases. 70% of COVID-19 patients (n = 14) improved in 1-4 days, 25% (n = 5) improved in 5-10 days while 5% improved in more than 10 days. TaibUVID nutritional supplements were tolerable and significantly satisfactory (P<0.01). 81.25% of COVID-19 patients (n = 13) did not report side effects. 18.25% (n = 3) reported mild diarrhea, sweating and hyperglycemia (not confirmed to be due to TaibUVID supplements). 31.25% of patients (n = 5) were satisfied by 100% with TaibUVID nutritional supplements. 37.5% (n = 6) of patients were satisfied by 75%. In conclusion, TaibUVID nutritional supplements are recommended for public prophylaxis (to decrease emergence of new cases) and treatment in COVID-19 pandemic. Clinical trials and further investigations are recommended.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.103
GPT teacher head0.345
Teacher spread0.242 · 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