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Record W3151558577 · doi:10.2147/jpr.s203526

<p>Ethics of conducting the study "Oral 24% sucrose associated with nonnutritive sucking for pain control in healthy term newborns receiving venipuncture beyond the first week of life" [Letter]</p>

2019· article· en· W3151558577 on OpenAlexaff
Denise Harrison, Mariana Bueno

Bibliographic record

VenueJournal of Pain Research · 2019
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsChildren's Hospital of Eastern OntarioHospital for Sick ChildrenUniversity of Ottawa
Fundersnot available
KeywordsMedicineVenipuncturePhysical therapyPediatricsAnesthesia

Abstract

fetched live from OpenAlex

We refer to the pilot study by De Bernardo et al, 1 in which 66 healthy infants were randomized to 24% sucrose or 10% glucose during venipuncture. Findings were 24% sucrose statistically significantly reduced pain compared to 10% glucose. This is not surprising as the efficacy of sweet tasting solutions in reducing pain in newborn infants has been known since the early 2000s, 2 and less concentrated solutions, including the 10% glucose used in this study had already been shown to be ineffective. Therefore, this trial, which studied an already known effective intervention compared to an already known ineffective intervention, does not comply with the principle of equipoise. 2,3 Clinical research trials require equipoise, defined as "a state of genuine uncertainty on the part of the clinical investigator regarding the comparative therapeutic merits of each arm in a trial". 3 This requires that the investigator is fully aware of the current knowledge regarding benefits of intervention and control arms and existing knowledge gaps before planning a trial. Unfortunately, it is evident the authors were not aware of the knowledge concerning analgesic effects of sweet solutions before they commenced their study.

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)0.110
metaresearch head score (Gemma)0.032
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1100.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.096
GPT teacher head0.384
Teacher spread0.288 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations3
Published2019
Admission routes1
Has abstractyes

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