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Record W2103740702 · doi:10.1136/ebn.5.3.88

Enteral nutrition reduced postoperative complications but increased minor adverse effects in gastrointestinal cancer

2002· letter· en· W2103740702 on OpenAlexaff
Mary van Soeren

Bibliographic record

VenueEvidence-Based Nursing · 2002
Typeletter
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineParenteral nutritionGastroenterologyInternal medicineEnteral administrationSurgery

Abstract

fetched live from OpenAlex

Bozzetti F, Braga M, Gianotti L, et al. Postoperative enteral versus parenteral nutrition in malnourished patients with gastrointestinal cancer: a randomised multicentre trial. Lancet2001 Nov 3; 358 : 1487 –92 [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: In malnourished patients having elective surgery for gastrointestinal cancer, does enteral nutrition reduce postoperative complications when compared with parenteral nutrition? Randomised {allocation concealed}*, unblinded, controlled trial with follow up to discharge. 10 centres in Italy. 317 patients who were ≥18 years of age (mean age 64 y, 58% men) and had weight loss ≥10% of usual body weight in the previous 6 months, histologically confirmed gastrointestinal cancer, and major planned elective surgery. Exclusion criteria were hepatic, renal, or cardiac dysfunction; Karnofsky performance status <60; pregnancy; ongoing infection; or intestinal anastomosis of the large bowel without a diverting stoma. Follow up was complete. Patients were allocated to enteral … [1]: {openurl}?query=rft.jtitle%253DLancet%26rft.stitle%253DLancet%26rft.aulast%253DBozzetti%26rft.auinit1%253DF.%26rft.volume%253D358%26rft.issue%253D9292%26rft.spage%253D1487%26rft.epage%253D1492%26rft.atitle%253DPostoperative%2Benteral%2Bversus%2Bparenteral%2Bnutrition%2Bin%2Bmalnourished%2Bpatients%2Bwith%2Bgastrointestinal%2Bcancer%253A%2Ba%2Brandomised%2Bmulticentre%2Btrial.%26rft_id%253Dinfo%253Adoi%252F10.1016%252FS0140-6736%252801%252906578-3%26rft_id%253Dinfo%253Apmid%252F11705560%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(01)06578-3&link_type=DOI [3]: /lookup/external-ref?access_num=11705560&link_type=MED&atom=%2Febnurs%2F5%2F3%2F88.atom [4]: /lookup/external-ref?access_num=000172055800010&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

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.073
GPT teacher head0.363
Teacher spread0.290 · 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 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
Published2002
Admission routes1
Has abstractyes

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