MétaCan
Menu
Back to cohort
Record W3159065263 · doi:10.1002/rcr2.754

“Peanut saves the day”: an innovative solution to massive, cryptogenic haemoptysis—a case study

2021· article· en· W3159065263 on OpenAlexaff
Sanjana Chetana Shanmukhappa, Srivatsa Lokeshwaran, K. Sunil Kumar, Prakash Doraiswamy

Bibliographic record

VenueRespirology Case Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicVascular Anomalies and Treatments
Canadian institutionsASTER
Fundersnot available
KeywordsMedicineTamponadeLife savingAirwaySurgeryIntensive care medicineGeneral surgeryMedical emergency

Abstract

fetched live from OpenAlex

Massive (or life-threatening) haemoptysis is a time-sensitive emergency encountered by a physician that requires an interdisciplinary, collaborative effort to arrest the bleeding in a prompt and timely manner. Placement of an endobronchial Watanabe spigot (EWS) to halt haemoptysis is a relatively recent technique finding its wide application in airway pathology, with the current extension of its use to bronchial bleeding. However, the lack of immediate access to EWS gives rise to the need to innovate with day-to-day materials used in routine surgical practice and available in resource-limited settings, which may serve the purpose of a spigot. In this report, we bring to light a case of life-threatening, cryptogenic haemoptysis that was managed by a novel technique of using peanut gauze as a spigot resulting in a successful endobronchial tamponade.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.336
Teacher spread0.301 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueRespirology Case ReportsSame topicVascular Anomalies and TreatmentsFrench-language works237,207