MétaCan
Menu
Back to cohort
Record W2141351444 · doi:10.1186/1710-1492-9-30

A practical guide to the monitoring and management of the complications of systemic corticosteroid therapy

2013· article· en· W2141351444 on OpenAlexafffundvenue
Dora Liu, Alexandra Ahmet, Leanne M. Ward, Preetha Krishnamoorthy, Efrem D. Mandelcorn, Richard Leigh, Jacques P. Brown, Albert Cohen, Harold Kim

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2013
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsJewish General HospitalUniversité LavalWestern UniversityMontreal Children's HospitalUniversity of TorontoOttawa HospitalUniversity Health NetworkToronto Western HospitalUniversity of CalgaryUniversity of OttawaMcGill UniversityChildren's Hospital of Eastern Ontario
FundersUniversity of Ottawa
KeywordsMedicineImmunosuppressionDyslipidemiaIntensive care medicineCorticosteroidSystemic therapySupportive psychotherapyOsteoporosisAdverse effectDiseaseImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Systemic corticosteroids play an integral role in the management of many inflammatory and immunologic conditions, but these agents are also associated with serious risks. Osteoporosis, adrenal suppression, hyperglycemia, dyslipidemia, cardiovascular disease, Cushing's syndrome, psychiatric disturbances and immunosuppression are among the more serious side effects noted with systemic corticosteroid therapy, particularly when used at high doses for prolonged periods. This comprehensive article reviews these adverse events and provides practical recommendations for their prevention and management based on both current literature and the clinical experience of the authors.

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)0.006
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0250.027

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 head0.041
GPT teacher head0.370
Teacher spread0.329 · 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
GenreMethods

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

Citations1,250
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueAllergy Asthma and Clinical ImmunologySame topicAdrenal Hormones and DisordersFrench-language works237,207