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Record W2134241543 · doi:10.1177/0885066606290671

Use of Methylene Blue in Sepsis: A Systematic Review

2006· review· en· W2134241543 on OpenAlexaff
Edmund Kwok, Daniel Howes

Bibliographic record

VenueJournal of Intensive Care Medicine · 2006
Typereview
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsKingston General HospitalQueen's University
Fundersnot available
KeywordsMedicineSeptic shockVascular resistanceMethylene blueSepsisBolus (digestion)HemodynamicsPopulationAnesthesiaIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

A systematic review of the literature was conducted to determine if the administration of methylene blue in humans improves hemodynamic status and/or outcome in patients with septic shock. Studies were identified from MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials database. The review included human studies of patients with septic shock treated with methylene blue in which hemodynamic variables or mortality rates were reported. An electronic form was used to extract items including study design, population characteristics, intervention details, and outcomes. No meta-analysis was performed. Methylene blue administration in patients with septic shock increases mean arterial pressure and systemic vascular resistance while decreasing vasopressor requirements. Increased pulmonary vascular resistance has been reported with bolus administration but might be avoided by continuous infusion. No other ill effects were reported. Effects on mortality have not been adequately evaluated in the literature.

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)0.006
metaresearch head score (Gemma)0.021
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 score0.008
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.004
Bibliometrics0.0070.009
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.215
GPT teacher head0.437
Teacher spread0.221 · 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

Citations156
Published2006
Admission routes1
Has abstractyes

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