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Record W4283363971 · doi:10.26443/mjm.v20i2.311

Approach to Hemoptysis

2022· article· en· W4283363971 on OpenAlexaffvenue
Magdalena Peeva

Bibliographic record

VenueMcGill Journal of Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicVascular Anomalies and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineIntensive care medicineIncidence (geometry)ModalitiesDiseaseStage (stratigraphy)Internal medicine

Abstract

fetched live from OpenAlex

Hemoptysis is the expectoration of blood from the lower airway. A study in the United Kingdom showed that the annual incidence of hemoptysis in primary care is 0.1%. Between 5 and 15% of patients presenting with hemoptysis have a life-threatening hemoptysis Approach to hemoptysis can be particularly perplexing for medical students considering the extensive list of differential diagnosis. It is important for physicians to be able to recognize and manage life-threatening hemoptysis as it is associated with high morbidity and mortality if untreated. Understanding when to further investigate patients at risk of lung cancer can help detect the disease at an earlier stage. This article begins with a brief introduction to life-threatening and nonlife-threatening hemoptysis and provides a detailed discussion of its management including diagnostic approaches followed by appropriate imaging modalities, laboratory findings, and clinical management. The target audience of this article are medical students at their preclinical or clinical phase.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0090.005

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 head0.034
GPT teacher head0.282
Teacher spread0.249 · 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
GenreOther

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
Published2022
Admission routes2
Has abstractyes

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