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Record W2166215186 · doi:10.12968/bjon.2013.22.9.524

NICE guidelines for new chest pain: comparison of new and old services

2013· article· en· W2166215186 on OpenAlexaboutno aff
Praba Rabasse, Collette Johnson, Nadim Malik

Bibliographic record

VenueBritish Journal of Nursing · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsNiceMedicineChest painCoronary artery diseaseExcellenceAnginaCanadian Cardiovascular SocietyPhysical therapyTest (biology)Medical emergencySurgeryInternal medicineMyocardial infarction

Abstract

fetched live from OpenAlex

In 2000 the National Service Framework for Coronary Artery Disease (CAD) prompted the development of rapid-access chest pain clinics (RACPCs). The aim of such clinics is to provide prompt assessment of chest pain to identify CAD with the use of an exercise tolerance test. In 2010, the National Institute for Health and Clinical Excellence (NICE) guidelines recommended using imaging studies based on CAD risk scoring and not an exercise tolerance test to exclude angina in patients with no previous history of known CAD. A comparison of the use of the 2010 NICE guidelines for the management of new-onset chest pain within a well-established exercise-based RACPC service is undocumented. The new recommendation moves the focus towards discharging low-risk patients, imaging studies/invasive procedure (angiogram) for the moderate-risk group and initiating anti-anginal treatment for the high-risk group. To phase the new recommendations into clinical practice in a district general hospital, the new guidelines were implemented in one out of three RACPC sessions per week. A retrospective assessment was carried out over a 4-month period to evaluate the new service implementation. A total of 160 patients attended the RACPC service, of which 56 (35%) were offered treatments according to the newer NICE guidelines and 104 (65%) were managed with the aim of exercising on the treadmill. This review gives an insight into the benefits of the new recommendations in practice, as well as highlighting some of the immediate limitations and barriers encountered.

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)0.001
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 score0.843
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.078
GPT teacher head0.380
Teacher spread0.302 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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