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40 Patient vs physician reported angina before and after revascularisation of coronary artery disease: evidence from a large randomised controlled trial (the sos trial)

2011· article· en· W2022663822 on OpenAlexaboutno aff
Clare Appleby, I Kemp, Rod Stables

Bibliographic record

VenueHeart · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePercutaneous coronary interventionCanadian Cardiovascular SocietyConventional PCIAnginaCoronary artery diseaseRandomized controlled trialMyocardial infarctionInternal medicineClinical trialUnstable anginaCardiologyPhysical therapy

Abstract

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Introduction The success of revascularisation therapies for coronary artery disease (CAD) must be measured by both an improvement in hard clinical endpoints—mortality, repeat revascularisation procedures and myocardial infarction, the traditional focus of clinical trials—and, critically for patients, the relief of angina symptoms. Interest in patient reported outcomes (PROMs) has increased, although their use in cardiovascular trials is far from universal. In particular the differences between physician and patient reported outcomes has not been analysed. High quality data from the Stent or Surgery (SOS) trial allows such an analysis. Methods The SoS trial was a large RCT (n=988) comparing stent-assisted percutaneous coronary intervention (PCI) with coronary artery bypass grafting (CABG) in patients with multivessel CAD. Participation in the SoS trial included an appraisal of angina symptoms by both patient and physician according to the Canadian Cardiovascular Society (CCS) Classification System prior to, and subsequently at 6 and 12 months following coronary intervention. In this study patient and doctor reported outcomes were compared systematically. Results Paired CCS scores at baseline, 6 months and 12 months were available for 919, 886 and 888 cases respectively. At baseline the overall level of agreement was good with >75% paired data sets demonstrating a difference of ≤±1 CCS class. Patterns of discordance change however between baseline and follow-up time points. Abstract 40 figure 1 shows the paired scores at baseline, charting the patient score and, for each CCS grade, the observed difference—doctor (D) minus patient (P). Doctors are reluctant to record scores of 0 or 4, preferring CCS grades 2 and 3. Thus there is little overall difference in mean CCS score (P 2.2 vs D 2.5, p<0.001). Yet at follow-up, doctors record freedom from angina (CCS=0) in a more substantial proportion of the population, considerably more so than patients self-report (p<0.0001) (Abstract 40 figure 2). The published results of the SOS trial used doctor gradings to report freedom from angina at 1 year in 79% of CABG patients vs 66% of PCI patients (p<0.0001). If patient gradings are used instead these figures are reduced to 57% in CABG and 44 % in PCI (p<0.0001), rendering both treatment strategies significantly less effective at relieving angina from a patients perspective (p<0.0001), Abstract 40 table 1. Abstract 40 Figure 1 Difference between doctor and patient classification of Angina before revascularisation. Abstract 40 Figure 2 Difference between doctor and patient classification of Angina at 12 m Fup. Abstract 40 Table 1 PCI (%) CABG (%) p Doctor scoring CCS class 0 66 79 <0.0001 Patient scoring CCS class 0 44 57 <0.0001 Conclusions This is the first randomised study to compare the improvement in angina status reported by patients and clinicians following revascularisation therapy for coronary artery disease. The observed trend for doctors to insist that all patients must have some symptoms at baseline, and more importantly, to suggest that a greater proportion of patients have been rendered symptom free at follow-up (than is suggested by self-reported estimates) has important implications and may call into question our current understanding of the impact of revascularisation.

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)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.725

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.175
GPT teacher head0.349
Teacher spread0.174 · 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 designRandomized trial
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".

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Citations1
Published2011
Admission routes1
Has abstractyes

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