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Record W2624174780 · doi:10.1128/aac.00164-17

Efficacy of β-Lactam/β-Lactamase Inhibitor Combinations for the Treatment of Bloodstream Infection Due to Extended-Spectrum-β-Lactamase-Producing Enterobacteriaceae in Hematological Patients with Neutropenia

2017· article· en· W2624174780 on OpenAlexaff
Carlota Gudiol, Cristina Royo, Edson Abdala, Murat Akova, Rocío Álvarez‐Marín, Guillermo Maestro de la Calle, Ángela Cano, Carlos Cervera, Wanessa T. Clemente, Pilar Martín‐Dávila, Alison G. Freifeld, Lucía Gómez, Thomas Gottlieb, Mercè Gurguí, Fabián Herrera, Adriana Manzur, Georg Maschmeyer, Yolanda Meije, Miguel Montejo, Maddalena Peghin, Jesús Rodríguez‐Baño, Isabel Ruíz-Camps, Teresa Sukiennik, Cristian Tebé, Jordi Carratalà

Bibliographic record

VenueAntimicrobial Agents and Chemotherapy · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Alberta Hospital
FundersInstituto de Salud Carlos IIIHacettepe ÜniversitesiAstellas PharmaMinisterio de Economía y CompetitividadUniversidade Federal de Minas GeraisPfizerEuropean CommissionEuropean Federation of Pharmaceutical Industries and AssociationsAstraZeneca
KeywordsNeutropeniaMedicineInternal medicineCarbapenemBloodstream infectionCohortCase fatality rateEnterobacteriaceaeEmpirical treatmentAntibioticsCephalosporinBeta-Lactamase InhibitorsFebrile neutropeniaIntensive care medicineMicrobiologyChemotherapyEpidemiologyBiologyEscherichia coli

Abstract

fetched live from OpenAlex

β-Lactam/β-lactamase inhibitors (BLBLIs) were compared to carbapenems in two cohorts of hematological neutropenic patients with extended-spectrum-β-lactamase (ESBL) bloodstream infection (BSI): the empirical therapy cohort (174 patients) and the definitive therapy cohort (251 patients). The 30-day case fatality rates and other secondary outcomes were similar in the two therapy groups of the two cohorts and also in the propensity-matched cohorts. BLBLIs might be carbapenem-sparing alternatives for the treatment of BSI due to ESBLs in these patients.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.258
Teacher spread0.248 · 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 designNon-randomized trial
Domainnot available
GenreEmpirical

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

Citations54
Published2017
Admission routes1
Has abstractyes

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