MétaCan
Menu
Back to cohort
Record W4415619271 · doi:10.1002/hem3.70232

Choosing words wisely: Language, metaphor, and psychological challenges after pulmonary embolism

2025· article· en· W4415619271 on OpenAlexaff
Gerard Gurumurthy, Jecko Thachil, Kerstin de Wit, Stephen P. Hibbs

Bibliographic record

VenueHemaSphere · 2025
Typearticle
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsMcMaster UniversityQueen's University
FundersWellcome Trust
KeywordsHypervigilanceAnxietyDepression (economics)Mental healthNormativePopulationCohortPerspective (graphical)

Abstract

fetched live from OpenAlex

Traditionally, clinical follow-up after pulmonary embolism (PE) has focused on medical therapy: the length of time a patient is anticoagulated, type and dose of anticoagulant, and mitigation of bleeding risk.There is often limited time to address other factors in a patient's recovery and wellbeing.However, when asked, patients describe a negative emotional burden which can persist years after the diagnosis, even when their management and physical recovery has been uncomplicated.1,2 Fear, anxiety, and hypervigilance are faced by many PE patients but are often unexplored in clinical encounters. 2 The choice of language used by healthcare professionals can inflame these psychological challenges or create space for them to be articulated and better understood.Here, we explore how clinician language can fail to address psychological consequences of PE and even exacerbate negative mental health.PE survivors frequently endure significant psychological challenges.Studies suggest that roughly 3% of patients meet the criteria for posttraumatic stress disorder at follow-up. 2 A further 21.3% experience clinically significant anxiety and 18.3% report depressive symptoms within 3 months of their event.3 Nearly one in five continue to endure anxiety or depression up to 2 years post-PE.4 This high prevalence of psychological morbidity correlates with a reduction in wider health-related quality-of-life.The mean SF-36 Mental Component Summary score in a cohort of 251 PE survivors was 43.6 ± 19.8 compared to a normative mean of 50. 5 It showed persistent impairments in social functioning, vitality and role-emotional domains relative to age-and sex-matched population norms.5 CLINICIAN LANGUAGE AT THE POINT OF DIAGNOSISPE can induce a sense of fear and anxiety among healthcare staff.This is especially common when the condition is first recognised.This anxiety may be transferred to patients through a number of ways.6 Sudden, simultaneous attention from a succession of doctors and nurses signals a more serious condition.The sense of fear can be exacerbated when no single healthcare provider sits down with the patient in a quiet | 1 of 3

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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.359
Teacher spread0.328 · 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 designQualitative
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueHemaSphereSame topicClinical Reasoning and Diagnostic SkillsFrench-language works237,207