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Record W3177576086 · doi:10.1002/hed.26798

Glutamine for prevention and alleviation of radiation‐induced oral mucositis in patients with head and neck squamous cell cancer: Systematic review and meta‐analysis of controlled trials

2021· review· en· W3177576086 on OpenAlexaff
Hemail M. Alsubaie, Albaraa Y. Alsini, Khaled M. Alsubaie, Ahmed Abu‐Zaid, Faisal Alzahrani, Suhail I. Sayed, Alok Pathak, Khalid Al‐Qahtani

Bibliographic record

VenueHead & Neck · 2021
Typereview
Languageen
FieldMedicine
TopicOral health in cancer treatment
Canadian institutionsCancerCare ManitobaUniversity of ManitobaWestern University
Fundersnot available
KeywordsMucositisMedicineGlutamineMeta-analysisHead and neck cancerRandomized controlled trialRadiation therapyInternal medicineIncidence (geometry)CancerSystematic reviewOncologySurgeryGastroenterologyMEDLINEAmino acid

Abstract

fetched live from OpenAlex

We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) that investigated glutamine efficacy in preventing and alleviating radiation-induced oral mucositis (OM) among patients with head and neck (H&N) cancer. We screened five databases from inception till February 4, 2021 and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We included 11 RCTs, comprising 922 patients (458 and 464 patients were assigned to glutamine and control group, respectively). The incidence and onset of radiation-induced OM of any grade did not substantially differ between both groups. However, glutamine substantially reduced the severity of radiation-induced OM, as reflected by the reduced incidence of severe OM and reduced mean maximal OM grade score. Additionally, glutamine significantly decreased the rates of analgesic opioid use, nasogastric tube feeding, and therapy interruptions. Oral glutamine supplementation demonstrated various therapeutic benefits in preventing and ameliorating radiation-induced OM among patients with H&N cancer.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.811
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0190.001
Bibliometrics0.0000.001
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 head0.115
GPT teacher head0.431
Teacher spread0.316 · 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 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

Citations28
Published2021
Admission routes1
Has abstractyes

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