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Record W2097731871 · doi:10.3138/physio.62.1.66

A Pilot Study of the Incidence of Post-thoracotomy Pulmonary Complications and the Effectiveness of Pre-thoracotomy Physiotherapy Patient Education

2010· article· en· W2097731871 on OpenAlexaffvenue
Julie C. Reid, Anne Jamieson, Jennifer Bond, Bashir M. Versi, Arpit Nagar, Bernard H.K. Ng, Julie Moreland

Bibliographic record

VenuePhysiotherapy Canada · 2010
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsMcMaster UniversityCanadian Physiotherapy AssociationSt. Joseph’s Healthcare HamiltonRoyal Jubilee HospitalHamilton Health SciencesHamilton General Hospital
Fundersnot available
KeywordsThoracotomyMedicinePhysical therapyIncidence (geometry)Surgery

Abstract

fetched live from OpenAlex

PURPOSE: To estimate the incidence and examine the pattern of post-thoracotomy pulmonary complications (PPC) that are amenable to physiotherapy treatment and to estimate the effect size of a pre-thoracotomy physiotherapy education session compared to no preoperative physiotherapy for reducing PPC. METHODS: Forty-two patients undergoing thoracotomy participated in this two-group retrospective-prospective cohort study. The preop group (n=22) received physiotherapy education prior to surgery and the no preop group (n=20) did not receive preoperative physiotherapy education. Chest radiographs were examined for PPC for 5 days postoperatively. Incidences of PPC were determined. The effect size was based on a grand count of PPC. RESULTS: The 5-day incidence of atelectasis, collapse, consolidation, and other complications was 85.0%, 39.0%, 31.7%, and 38.1%, respectively. Patterns of PPC showed large increases at days 2 and 3. The effect size for pre-thoracotomy physiotherapy education was zero. CONCLUSIONS: In our sample, incidence of PPC was high and did not substantially differ based on whether or not preoperative education was provided.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.006
GPT teacher head0.300
Teacher spread0.295 · 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 designObservational
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

Citations11
Published2010
Admission routes2
Has abstractyes

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