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Record W4378374224 · doi:10.1101/2023.05.26.23290575

Selenium supplementation and clinical outcomes: an umbrella review protocol

2023· preprint· en· W4378374224 on OpenAlexaboutno aff
Adaobi Uchenna Mosanya, Ifeoma Umeh, Abba Khalid Abdullahi, Blessing Onyinye Ukoha-Kalu, Maxwell Ogochukwu Adibe, Carmen Sanmartin Grijalba

Bibliographic record

VenuemedRxiv · 2023
Typepreprint
Languageen
FieldNursing
TopicSelenium in Biological Systems
Canadian institutionsnot available
FundersUniversidad de Navarra
KeywordsSystematic reviewMedicineMEDLINECochrane LibraryCINAHLClinical trialAlternative medicineRandomized controlled trialScopusProtocol (science)DiseaseIntensive care medicineFamily medicinePathologyPsychological interventionPsychiatryPolitical science

Abstract

fetched live from OpenAlex

Abstract Background Selenium is a trace element essential for the normal functions of different human body systems and its deficiency has been associated with different disease states. In recent years, many systematic reviews of randomized clinical trials in humans have demonstrated various properties of selenium such as antioxidant, anti-inflammatory, increased immunity, blocking tumour invasion and metastasis in various pathological conditions. Therefore, there is need to summarize these recent findings in one single paper to facilitate the decision making of clinicians and policy makers regarding the inclusion of selenium supplementation in routine clinical practice, treatment guidelines and essential medicine list. This study would guide researchers towards future research and design of clinical trials. Objectives The objective of this umbrella review is to assess the clinical outcomes of selenium supplementation in different disease states and to determine its therapeutic implications. Eligibility criteria Only systematic reviews of randomized clinical trials reporting clinical outcomes after the use of selenium alone as a supplement in the management of diseases will be included. While primary studies, systematic reviews that involved the administration of selenium in combination with other trace elements for the prevention or treatment of diseases will be excluded. Methods The following databases will be searched by three independent reviewers: MEDLINE, PUBMED, EMBASE, COCHRANE database of systematic reviews, CINAHL, JBI Evidence synthesis, EPISTEMONIKOS, SCOPUS, Web of Science and TRIP PRO. Unpublished reviews will be searched using ProQuest for dissertations and Theses, Canadian Agency for drugs and Technologies in Health (CADTH) database of Grey matters and GOOGLE scholar. Systematic reviews published in the last 10 years (2013 to 2023). There will be no language restriction. The services of a translator will be employed if studies in other languages were found. Selection of reviews and data extraction will be done by 3 independent reviewers. Summary of findings will be presented in tables accompanied by texts where necessary. Strengths and limitations of this study This is the first umbrella review on the use of selenium supplements for disease management. Secondly, the findings from this study would facilitate the decision making of clinicians and policy makers regarding the inclusion of selenium supplementation in routine clinical practice, treatment guidelines and essential medicine list. Nevertheless, a major limitation of this umbrella review would be a reduced scope of eligible studies because only systematic reviews/ or meta-analysis that included randomized clinical trials will be considered.

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.123
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.211
GPT teacher head0.484
Teacher spread0.273 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreProtocol

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
Published2023
Admission routes1
Has abstractyes

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