MétaCan
Menu
Back to cohort
Record W3024815230 · doi:10.1183/13993003.01875-2019

The impact of different antibiotic treatment regimens on mortality in<i>Mycobacterium avium</i>complex pulmonary disease: a population-based cohort study

2020· letter· en· W3024815230 on OpenAlexafffund
Sarah K. Brode, Hannah Chung, Michael A. Campitelli, Jeffrey C. Kwong, Rinku Sutradhar, Alex Marchand‐Austin, Kevin Winthrop, Frances Jamieson, Theodore K. Marras

Bibliographic record

VenueEuropean Respiratory Journal · 2020
Typeletter
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsWest Park Healthcare CentrePublic Health OntarioUniversity of TorontoUniversity Health NetworkMount Sinai Hospital
FundersCanadian Institutes of Health Research
KeywordsEthambutolMedicineMycobacterium avium complexRifamycinRifabutinInternal medicineAntibioticsCohortRegimenRifampicinDiseasePopulationIntensive care medicineTuberculosisMicrobiologyClarithromycinBiologyPathology

Abstract

fetched live from OpenAlex

Evidence-based guidelines recommend the combination of macrolide–ethambutol–rifamycin as first-line treatment for Mycobacterium avium complex pulmonary disease (MAC-PD) [1]. Whether this regimen results in improved survival is unknown. No significant difference in mortality among patients treated with different antibiotic regimens for Mycobacterium avium pulmonary disease We thank IMS Brogan Inc. for use of their Drug Information Database.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.062
GPT teacher head0.338
Teacher spread0.276 · 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
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

Citations5
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueEuropean Respiratory JournalSame topicMycobacterium research and diagnosisFrench-language works237,207