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Record W6958693016 · doi:10.6084/m9.figshare.26573512

Additional file 1 of Intravenous vitamin C monotherapy in critically ill patients: a systematic review and meta-analysis of randomized controlled trials with trial sequential analysis

2024· article· en· W6958693016 on OpenAlexaff

Bibliographic record

VenueOpen MIND · 2024
Typearticle
Languageen
FieldNursing
TopicVitamin C and Antioxidants Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsMortality rateRandomized controlled trialLife tableRisk of mortalityTable (database)Meta-analysis

Abstract

fetched live from OpenAlex

Additional file 1: Methodology. PRISMA 2020 checklist. Results. Table S1 Search strategy. Table S2 List of excluded studies. Table S3 Critical care nutrition methodological system. Table S4 Intervention. Table S5 Outcomes summary. Table S6 Summary of adverse events. Table S7 Trial sequential analysis for overall mortality (sensitivity analysis). Table S8 Differences between protocol and review. Figure S1 PRISMA flowchart. Figure S2 Risk of bias 2 traffic light plot. Figure S3 Overall mortality (single vs multicenter trials). Figure S4 Overall mortality (sepsis vs non-sepsis). Figure S5 Overall mortality (higher ≥10000 mg/day vs lower dose). Figure S6 Overall mortality (median control group mortality > vs ≤ 37.5%). Figure S7 Overall mortality (median CCN score >9 vs ≤9). Figure S8 Overall mortality (low vs other risk of bias). Figure S9 Overall mortality (start of intervention ≤ vs >24 h of ICU admission/septic shock/pressor initiation etc.). Figure S10 Overall mortality (duration of treatment > vs ≤4 days). Figure S11 Overall mortality (bolus vs continuous infusion). Figure S12 Overall mortality sensitivity analysis studies that measured and reported baseline vitamin C deficit. Figure S13 28-day mortality (single vs multicenter). Figure S14 28-day mortality (sepsis vs non-sepsis). Figure S15 28-day mortality (higher dose ≥10000 mg/day vs lower dose). Figure S16 28-day mortality (median control group mortality > vs ≤ 37.5%). Figure S17 28-day mortality (median CCN score >9 vs ≤9). Figure S18 28-day mortality (low vs other risk of bias). Figure S19 28-day mortality (start of intervention ≤ vs >24h of ICU admission/septic shock/pressor initiation etc.). Figure S20 28-day mortality (Duration of treatment > vs ≤4 days). Figure S21 28-day mortality (bolus vs continuous infusion). Figure S22 Summary of subgroup analysis for 28-day mortality. Figure S23 Longer term mortality (≥60 days). Figure S24 Duration of mechanical ventilation. Figure S25 ICU length of stay. Figure S26 Hospital length of stay. Figure S27 Incidence of acute kidney injury. Figure S28 Incidence of renal replacement therapy. Figure S29 Sequential organ failure assessment (SOFA) score at 96h. Figure S30 Dose of vasopressors. Figure S31 Days on vasopressors. Figure S32 (a) Adverse events. (b) Adverse events (with continuity correction by adding 0.01 to cells with zero events). Figure S33 Funnel plot for overall mortality. Figure S34 TSA for overall mortality—subgroup analysis in trials with below median control group mortality—relative risk reduction 30%. Figure S35 TSA for overall mortality—subgroup analysis in trials below median control group mortality—relative risk reduction 25%. Figure S36 TSA for overall mortality—subgroup analysis in trials below median control group mortality (≤37.5%)—Relative risk reduction 20%. Figure S37 TSA for overall mortality—subgroup analysis in trials above (>37.5%) median control group mortality—relative risk reduction 30%. Figure S38 TSA for overall mortality—subgroup analysis in trials above (>37.5%) median control group mortality—relative risk reduction 25%. Figure S39 TSA for overall mortality—subgroup analysis in trials above (>37.5%) median control group mortality—relative risk reduction 20%.

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)0.012
metaresearch head score (Gemma)0.115
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.737
Threshold uncertainty score0.375

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.115
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0060.007
Bibliometrics0.0080.013
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7370.027

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 head0.060
GPT teacher head0.372
Teacher spread0.312 · 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.

Study designMeta-analysis
Domainnot available
GenreEmpirical

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
Published2024
Admission routes1
Has abstractyes

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