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Record W2071375259 · doi:10.1136/ebn.5.1.13

Review: albumin administration is not associated with excess mortality in acutely ill patients

2002· letter· en· W2071375259 on OpenAlexaff
Gordon Guyatt

Bibliographic record

VenueEvidence-Based Nursing · 2002
Typeletter
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineWeb of scienceAlbuminRandomized controlled trialInternal medicineGastroenterologyClinical trialMeta-analysis

Abstract

fetched live from OpenAlex

Wilkes MM, Navickis RJ. Patient survival after human albumin administration. A meta-analysis of randomized, controlled trials. Ann Intern Med2001 Aug 7; 135 : 149 –64 [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: Is albumin administration associated with excess mortality in acutely ill patients? Published and unpublished trials were identified by searching Medline, EMBASE/Excerpta Medica, the Cochrane Controlled Trials Register, and the Cochrane Medical Editors Trial Amnesty of unpublished trials; by searching Altavista, Northern Light, HotBot, and Excite search engines for relevant internet resources; by handsearching JAMA , New England Journal of Medicine , Lancet , and BMJ from January 1990 to November 2000; contacting albumin suppliers and authors of published randomised trials; and reviewing bibliographies of previous meta-analyses, review articles, and other investigations involving albumin. Studies in any language were considered. Studies were selected if they were randomised controlled trials comparing intravenous albumin treatment with crystalloid treatment, no purified … [1]: {openurl}?query=rft.jtitle%253DAnnals%2Bof%2BInternal%2BMedicine%26rft.stitle%253DANN%2BINTERN%2BMED%26rft.aulast%253DWilkes%26rft.auinit1%253DM.%2BM.%26rft.volume%253D135%26rft.issue%253D3%26rft.spage%253D149%26rft.epage%253D164%26rft.atitle%253DPatient%2BSurvival%2Bafter%2BHuman%2BAlbumin%2BAdministration%253A%2BA%2BMeta-Analysis%2Bof%2BRandomized%252C%2BControlled%2BTrials%26rft_id%253Dinfo%253Adoi%252F10.7326%252F0003-4819-135-3-200108070-00007%26rft_id%253Dinfo%253Apmid%252F11487482%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=10.7326/0003-4819-135-3-200108070-00007&link_type=DOI [3]: /lookup/external-ref?access_num=11487482&link_type=MED&atom=%2Febnurs%2F5%2F1%2F13.atom [4]: /lookup/external-ref?access_num=000170298500001&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 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)0.005
metaresearch head score (Gemma)0.038
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 score0.012
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.038
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.007
Bibliometrics0.0060.009
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.651
GPT teacher head0.549
Teacher spread0.102 · 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

Citations4
Published2002
Admission routes1
Has abstractyes

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