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Record W4281618208 · doi:10.1111/aas.14099

Use of prokinetic agents in hospitalised adult patients: Protocol for a scoping review

2022· review· en· W4281618208 on OpenAlexaff
Vera Crone, Morten Hylander Møller, Anders Perner, Waleed Alhazzani, Mette Krag

Bibliographic record

VenueActa Anaesthesiologica Scandinavica · 2022
Typereview
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineProtocol (science)Prokinetic agentIntensive care medicinePharmacologyAlternative medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Gastrointestinal motility is an important contributor to the effective uptake of water and nutrition. However, it is often impaired in acutely ill hospitalised patients. Amongst other indications, prokinetic agents are used to improve GI motility, but the body of evidence is not well described. Accordingly, we aim to systematically describe and explore the body of evidence on the use of prokinetic agents in hospitalised adults. METHODS: In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews statement, we plan to conduct a scoping review of studies assessing the use of prokinetic agents, for any indication, in hospitalised adults. We plan to assess study design, population, agents, indications and outcomes across included studies. When applicable, we plan to assess the certainty of evidence using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. RESULTS: We plan to provide descriptive analyses of the included studies accompanied by tabulated results and characterise knowledge gaps. CONCLUSION: The outlined scoping review will provide a summary of the body of evidence on the use, indications, effects and side effects of prokinetic agents in hospitalised adults.

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)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.576
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.179
GPT teacher head0.413
Teacher spread0.234 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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