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Record W2232204365 · doi:10.1016/j.eupc.2005.02.098

Spinal cord stimulation for refractory stable angina pectoris in patients with chronic pacemaker treatment

2005· article· en· W2232204365 on OpenAlexaboutno aff
Siegfried Eckert, A. Dongas, Holger Güldner, Emanoel Oepangat, Dieter Horstkotte

Bibliographic record

VenueEP Europace · 2005
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNeurostimulationAnginaCardiologyInternal medicineSpinal cord stimulationCoronary artery diseaseBradycardiaAnesthesiaStimulationSurgeryMyocardial infarctionHeart rateBlood pressure

Abstract

fetched live from OpenAlex

Spinal cord stimulation (SCS) is a safe treatment modality in patients with severe angina pectoris. We studied possible interactions of procedures in patients treated with both, SCS for angina pectoris and permanent pacemaker (PPM) treatment for bradyarrhythmias. Since January 2001, we performed SCS in 61 patients (pts.) (48 men, 13 women, age 65±8 years, bmi 27±9 kg/qm). Nine pts. additionally needed PPM treatment for bradyarrhythmias. All pts. had severe angina pectoris (III to IV [39/22] according to Canadian Cardiovascular Society) under considered medication due to angiographically documented end-stage coronary artery disease (CAD), which could not be treated interventionally. After 3 to 5 days of successful test stimulation using an epidural lead a commercially available implantable pulse generator is placed in a subcutaneous pouch below the costal arch. In 58 pts. (95%) angina pectoris could be reduced significantly. In 3 pts. the lead was removed because of ineffectivity during the test period. There was no interaction between neurostimulation and PPM treatment during follow-up of 1 to 38 (mean 20±12) months. DDD pacemaker were used in bipolar sensing mode: n=4 Medtronic, n=3 Biotronik, n=2 Guidant. SCS has proved to be a safe procedure in patients with severe angina pectoris and PPM treatment with bipolar sensing mode.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.501

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 head0.018
GPT teacher head0.282
Teacher spread0.264 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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