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Record W2503213465 · doi:10.1159/000470712

The Diagnostic Utility of Precordial R Wave Progression in theClinical Electrocardiograms of Male Subjects

2017· article· en· W2503213465 on OpenAlexaff
David Bewick, Cynthia Spencer, Terrence J. Montague

Bibliographic record

VenueAmerican Journal of Noninvasive Cardiology · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsVictoria General HospitalDalhousie University
Fundersnot available
KeywordsMedicineInternal medicineCardiologyChest painElectrocardiographyAsynergyPrecordial examinationMyocardial infarctionNuclear medicineEjection fractionHeart failure

Abstract

fetched live from OpenAlex

Poor R wave progression is used as an interpretative term in clinical electrocardiography to infer that the precordial R wave voltage is abnormal, most often secondary to previous ischemic damage. Specific definition and predictive value of the term are, however, lacking for most clinical settings. We developed several definitions of poor R wave progression from V(1) to V(6) peak R wave measurements in 50 normal subjects and evaluated them as screening criteria for left ventricular asynergy and history of infarction in a consecutive series of 50 male patients undergoing invasive cardiac investigation, principally for chest pain. In normals, peak R values and adjacent interlead differences tended to be greater in males; on average, however, there was a progressive increase from V(1) to V(4) and a progressive decrease from V(4) to V(6) in both males and females. All normals had a positive delta V(1) V(2), but 9 had negative delta V(2) V(3) and 2 others, negative delta V(3) V(4). Based on the normal distributions, the test criteria of poor R wave progression were selected to avoid oversensitivity and to encompass both adjacent lead and panprecordial R wave progression. Positive tests were defined as delta; (1) V(1) V(2) ≤ s 0; (2) V(1) V(2) ≤ normal male mean -1 SD; (3) V(3) V(4) ≤ 0; (4) V(3) V(4) ≤ normal male mean -1 SD; (5) V(1) V(4) ≤ normal male mean 1 SD; (6) V(1) V(4) ≤ normal male mean -2 SD. Overall, the defined R wave criteria were insensitive and had poor negative predictive value for wall asynergy and infarction history. However, delta R V(1) V(2) ≤ 0 and delta R V(3) V(4) ≤ 0 were ≥ 70% positively predictive for these standard clinical variables. In comparison, abnormal Q waves in any lead were 94% predictive for the presence of both variables, although they, too, were relatively insensitive (47% for asynergy; 64% for history of infarction) and had low negative predictive values. Thus, although no single 12-lead electrocardiographic criterion appears ideal as a screening test for ischemic left ventricular injury in male cardiac patients, abnormal Q waves have very high predictive value. With the exception of delta R V(1) V(2) ≤ 0 or delta R V(3) V(4) ≤ 0, the term ‘poor R wave progression’ is unwarranted for routine clinical use.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.195
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.316
Teacher spread0.298 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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