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Record W3158018052 · doi:10.1093/icvts/ivab030

European Society of Thoracic Surgeons electronic quality of life application after lung resection: field testing in a clinical setting

2021· article· en· W3158018052 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInteractive Cardiovascular and Thoracic Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Lung cancerPerioperativeProspective cohort studyCardiothoracic surgeryLung cancer surgeryPhysical therapySurgeryInternal medicineNursing

Abstract

fetched live from OpenAlex

OBJECTIVES: Technology has the potential to assist healthcare professionals in improving patient-doctor communication during the surgical journey. Our aims were to assess the acceptability of a quality of life (QoL) application (App) in a cohort of cancer patients undergoing lung resections and to depict the early perioperative trajectory of QoL. METHODS: This multicentre (Italy, UK, Spain, Canada and Switzerland) prospective longitudinal study with repeated measures used 12 lung surgery-related validated questions from the European Organisation for Research and Treatment of Cancer Item Bank. Patients filled out the questionnaire preoperatively and 1, 7, 14, 21 and 28 days after surgery using an App preinstalled in a tablet. A one-way repeated measures analysis of variance was run to determine if there were differences in QoL over time. RESULTS: A total of 103 patients consented to participate in the study (83 who had lobectomies, 17 who had segmentectomies and 3 who had pneumonectomies). Eighty-three operations were performed by video-assisted thoracoscopic surgery (VATS). Compliance rates were 88%, 90%, 88%, 82%, 71% and 56% at each time point, respectively. The results showed that the operation elicited statistically significant worsening in the following symptoms: shortness of breath (SOB) rest (P = 0.018), SOB walk (P < 0.001), SOB stairs (P = 0.015), worry (P = 0.003), wound sensitivity (P < 0.001), use of arm and shoulder (P < 0.001), pain in the chest (P < 0.001), decrease in physical capability (P < 0.001) and scar interference on daily activity (P < 0.001) during the first postoperative month. SOB worsened immediately after the operation and remained low at the different time points. Worry improved following surgery. Surgical access and forced expiratory volume in 1 s (FEV1) are the factors that most strongly affected the evolution of the symptoms in the perioperative period. CONCLUSIONS: We observed good early compliance of patients operated on for lung cancer with the European Society of Thoracic Surgeons QoL App. We determined the evolution of surgery-related QoL in the immediate postoperative period. Monitoring these symptoms remotely may reduce hospital appointments and help to establish early patient-support programmes.

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.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.164
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
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 head0.042
GPT teacher head0.385
Teacher spread0.343 · 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