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Record W2145269712 · doi:10.1136/ebn.8.4.116

Protein energy supplementation of usual hospital diet did not improve outcomes in inpatients with recent stroke

2005· letter· en· W2145269712 on OpenAlexaff
Cami D'Uva, Charmaine Martin

Bibliographic record

VenueEvidence-Based Nursing · 2005
Typeletter
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsMedicineWeb of sciencePediatricsIMGStroke (engine)Internal medicine

Abstract

fetched live from OpenAlex

Dennis MS, Lewis SC, Warlow C. Routine oral nutritional supplementation for stroke patients in hospital (FOOD): a multicentre randomised controlled trial. Lancet 2005;365:755–63.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q Does routine oral protein energy supplementation of a usual hospital diet improve outcomes in patients admitted with recent stroke? ### ![Graphic][5] Design: randomised controlled trial (FOOD [Feed Or Ordinary Diet] trials). ### ![Graphic][6] Allocation: concealed. ### ![Graphic][7] Blinding: blinded (outcome assessors). ### ![Graphic][8] Follow up period: median 6.7 months. ### ![Graphic][9] Setting: 125 hospitals in 15 countries. ### ![Graphic][10] Patients: 4023 patients (mean age 71 y, 53% men, 8% undernourished) who were admitted with a recent stroke (first or recurrent stroke ⩽7 d before admission) and whose clinicians were uncertain about whether to use oral nutritional supplements after they had passed the … [1]: {openurl}?query=rft.jtitle%253DLancet%26rft.stitle%253DLancet%26rft.aulast%253DDennis%26rft.auinit1%253DM.%2BS.%26rft.volume%253D365%26rft.issue%253D9461%26rft.spage%253D755%26rft.epage%253D763%26rft.atitle%253DRoutine%2Boral%2Bnutritional%2Bsupplementation%2Bfor%2Bstroke%2Bpatients%2Bin%2Bhospital%2B%2528FOOD%2529%253A%2Ba%2Bmulticentre%2Brandomised%2Bcontrolled%2Btrial.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0140-6736%252805%252917982-3%26rft_id%253Dinfo%253Apmid%252F15733716%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=10.1016/S0140-6736(05)17982-3&link_type=DOI [3]: /lookup/external-ref?access_num=15733716&link_type=MED&atom=%2Febnurs%2F8%2F4%2F116.atom [4]: /lookup/external-ref?access_num=000227285300022&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /embed/inline-graphic-6.gif

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)0.002
metaresearch head score (Gemma)0.009
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: Commentary · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.042
GPT teacher head0.342
Teacher spread0.300 · 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 designObservational
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

Citations2
Published2005
Admission routes1
Has abstractyes

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