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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

Hintergrund und Fragestellung: Die absoluten Zahlen von invasiven Koronarinterventionen liegen in Deutschland deutlich höher als in den benachbarten europäischen Ländern. Diese Zahlen dienen als Argument für eine Überversorgung mit Herzkatheteruntersuchungen im deutschen Gesundheitswesen. Deshalb wurde versucht, weitere Indikatoren für einen Fehleinsatz dieser Ressourcen zu finden. Patienten und Methoden: Das Verhältnis der Zahl der diagnostischen Herzkatheter in acht europäischen Ländern wurde mit der Zahl der jeweiligen Folgemaßnahmen (Koronardilatation, Bypass) verglichen. Außerdem wurden für Deutschland die Indikationskriterien zur Herzkatheteruntersuchung und den daraus folgenden endgültigen Diagnosen an 205581 konsekutiven stationären Patienten untersucht. Ergebnisse: Die Indikationskriterien zur Koronardiagnostik bei deutschen stationären Patienten waren: Akutes Koronarsyndrom 22,9 %, davon 8,8 % ST-Hebungsinfarkt, kardiogener Schock 1 %, Angina Pectoris nach der CCS-Klassifikation Schweregrad CCS II/III 80,3 %, CCS IV 17,2 %. Ein Belastungs-Test lag in 43 % vor. Das Ergebnis der Diagnostik war: Stenosierende koronare Herzerkrankung 69,5 %, Ausschluss 9,4 %, Stenosierungen < 50 % 9 %, andere organische Herzerkrankungen 12,1 %. Das Verhältnis Diagnostik zu Revaskularisierungsmaßnahmen liegt in den acht Ländern zwischen 39,1 % und 57,9 %, in Deutschland bei 43,2 %. Eine Korrelation zwischen absoluter Zahl diagnostischer Herzkatheter und Prozent Revaskularisationsmaßnahmen bestand nicht. Folgerung: Absolute Zahlen eignen sich nicht für eine Definition der Überversorgung an invasiven kardiologischen Maßnahmen. Eine Standardisierung der Datenerhebung auf europäischer, nationaler und regionaler Ebene wäre wünschenswert. Zusätzlich sollte eine Validierung für Indikationskriterien von invasiven kardiologischen Maßnahmen zur Anwendung auf verschiedene Gesundheitswesen und deren Sektoren entwickelt werden. 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 aquisition 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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; a candidate call from one source (direct Gemma or distilled Codex), 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".

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Citations7
Published2003
Admission routes1
Has abstractyes

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