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Record W2075850989 · doi:10.1136/ebmed-2012-100525

Preterm infants receiving heel lance procedures have slightly lower pain scores and quicker time to return to baseline heart rate when held in kangaroo care by the mother than by the father

2012· letter· en· W2075850989 on OpenAlexaff
Vibhuti Shah, Ann L Jefferies

Bibliographic record

VenueEvidence-Based Medicine · 2012
Typeletter
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineWeb of scienceBreastfeedingPediatricsKangaroo careObstetricsInternal medicine

Abstract

fetched live from OpenAlex

Commentary on: Johnston CC, Campbell-Yeo M, Filion F. Paternal vs maternal kangaroo care for procedural pain in preterm neonates: a randomized crossover trial. Arch Pediatr Adolesc Med 2011;165:792–6.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Kangaroo care (KC) is the practice of skin-to-skin contact between a parent and their infant. Although initially introduced for low-birthweight infants in Columbia because of scarce resources and high-neonatal morbidity,1 KC has been widely adopted in both underdeveloped and developed countries. Benefits include reduction in mortality, infection and hospital length of stay and improved breastfeeding and maternal–infant bonding.2 ,3 KC has also been shown to reduce procedural pain,4 but studies have focused on maternal rather than paternal KC. As fathers are increasingly actively participating in their infant's care, including provision of KC, it is important to determine whether paternal KC has the same effect on neonatal pain. … [1]: {openurl}?query=rft.jtitle%253DArchives%2Bof%2BPediatrics%2Band%2BAdolescent%2BMedicine%26rft.stitle%253DArch%2BPediatr%2BAdolesc%2BMed%26rft.issn%253D0002-922X%26rft.aulast%253DJohnston%26rft.auinit1%253DC.%2BC.%26rft.volume%253D165%26rft.issue%253D9%26rft.spage%253D792%26rft.epage%253D796%26rft.atitle%253DPaternal%2Bvs%2BMaternal%2BKangaroo%2BCare%2Bfor%2BProcedural%2BPain%2Bin%2BPreterm%2BNeonates%253A%2BA%2BRandomized%2BCrossover%2BTrial%26rft_id%253Dinfo%253Adoi%252F10.1001%252Farchpediatrics.2011.130%26rft_id%253Dinfo%253Apmid%252F21893645%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/archpediatrics.2011.130&link_type=DOI [3]: /lookup/external-ref?access_num=21893645&link_type=MED&atom=%2Febmed%2F17%2F5%2F153.atom [4]: /lookup/external-ref?access_num=000294537100004&link_type=ISI

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.004
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.047
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0110.011
Insufficient payload (model declined to judge)0.0250.006

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 head0.019
GPT teacher head0.264
Teacher spread0.245 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designObservational · Not applicable
Domainnot available
GenreEmpirical · Commentary

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
Published2012
Admission routes1
Has abstractyes

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