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Record W1973980196 · doi:10.1055/s-2003-42863

Zu viele Herzkatheteruntersuchungen in Deutschland?

2003· article· de· W1973980196 on OpenAlexaboutno aff
Martin Gottwik, Uwe Zeymer, Sid J. Schneider, Jochen Senges

Bibliographic record

VenueDMW - Deutsche Medizinische Wochenschrift · 2003
Typearticle
Languagede
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnginaCardiac catheterisationMedical diagnosisDiseaseIntensive care medicineEmergency medicineCardiologyInternal medicineMyocardial infarctionPathology

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVE: Absolute numbers of cardiovascular procedures are higher in Germany as compared to other European countries. This fact is used as an argument for overuse. Therefore other indicators of an inappropriate use of these resources should be of interest. PATIENTS AND METHODS: The relationship between diagnostic cardiac catheterisations and consequent revascularisation procedures were compared in 8 European countries. In addition the indication criteria for cardiac catheterisations were reviewed in a German registry of 205.581 consecutive inpatients. RESULTS: Revascularisation procedures after diagnostic catheterisations in 8 countries range from 39,1 % to 57,9 %. Germany reaches 43,2 %. A relation between absolute numbers of diagnostic and percent subsequent revascularisation procedures does not exist. In a German registry the following indications for cardiac catheterisation could be identified: Acute Coronary Syndrome 22,9 %. Angina pectoris according to the Canadian Cardiac Society classification was present: CCS II/III in 80,3 %, CCS IV in 17,2 %. An exercise test was performed in 43 %. Final diagnoses were: significant coronary disease 69,5 %, exclusion of disease 9,4 %, lesions < 50 % 9 %, other cardiac disease 12,1 %. CONCLUSION: Absolute numbers cannot be used as an indicator of overuse of cardiovascular procedures. Instead standards for data acquisition should be established on European, national and regional levels. In addition a validation procedure for criteria has to be developed in order to judge the appropriateness of indications for invasive cardiac procedures in different health care systems.

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)0.022
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.020
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0040.011
Insufficient payload (model declined to judge)0.0050.020

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 head0.463
GPT teacher head0.493
Teacher spread0.030 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations7
Published2003
Admission routes1
Has abstractyes

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