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Record W1992790549 · doi:10.1136/ebn.12.2.55

Review: enhanced oral hygiene prevents respiratory infection in elderly people in hospitals and nursing homesCommentary

2009· letter· en· W1992790549 on OpenAlexaff
Cindy Doucette

Bibliographic record

VenueEvidence-Based Nursing · 2009
Typeletter
Languageen
FieldMedicine
TopicNosocomial Infections in ICU
Canadian institutionsTrillium Health Centre
Fundersnot available
KeywordsHygieneNursing homesMedicineNursingOral hygieneIntensive care medicineRespiratory systemGerontologyInternal medicineDentistryPathology

Abstract

fetched live from OpenAlex

P Sjogren Dr P Sjogren, Oral Care AB, Goteborg, Sweden; petteri.sjogren@oralcare.se Does enhanced oral hygiene prevent respiratory infection in elderly people in hospitals and nursing homes? Included studies evaluated the effect of enhanced oral hygiene care or frequent professional oral care on respiratory infection in elderly people in hospital or living in nursing homes. Outcomes were respiratory infection, pneumonia, and death from pneumonia. Medline, Cochrane Central Register of Controlled Trials, and National Health Service Economic Evaluation Database (to Nov 2007); and reference lists were searched for randomised controlled trials (RCTs) published in English, German, Dutch, or a Nordic language between 1996 and 2007. Studies involving patients with mechanical ventilation or tube feeding were excluded. 3 …

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)0.003
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.031
GPT teacher head0.351
Teacher spread0.320 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2009
Admission routes1
Has abstractyes

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