Evidence map›Paper›PMID 35219312›Full record

ArticleBMC cardiovascular disorders2022

Regional variation in coronary angiography rates: the association with supply factors and the role of indication: a spatial analysis.

Julia Frank-Tewaag, Julian Bleek, Christian Günster, Udo Schneider, Dirk Horenkamp-Sonntag, Ursula Marschall, Sebastian Franke, Kathrin Schlößler, Norbert Donner-Banzhoff, Leonie Sundmacher

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Julia Frank-TewaagTechnische Universität München, Uptown München Campus D, Georg-Brauchle-Ring 60/62, 80992, München, Germany. julia.frank-tewaag@tum.de.ORCID 0000-0001-7881-1338
Julian BleekAOK Bundesverband, Berlin, Germany.
Christian GünsterWissenschaftliches Institut der AOK (WIdO), Berlin, Germany.
Udo SchneiderTechniker Krankenkasse (TK), Hamburg, Germany.
Dirk Horenkamp-SonntagTechniker Krankenkasse (TK), Hamburg, Germany.
Ursula MarschallBARMER, Wuppertal, Germany.
Sebastian FrankeTechnische Universität München, Uptown München Campus D, Georg-Brauchle-Ring 60/62, 80992, München, Germany.
Kathrin SchlößlerDepartment of Family Medicine / General Practice, Ruhr-University Bochum, Bochum, Germany.
Norbert Donner-BanzhoffDepartment of Family Medicine / General Practice, Philipps-University of Marburg, Marburg, Germany.
Leonie SundmacherTechnische Universität München, Uptown München Campus D, Georg-Brauchle-Ring 60/62, 80992, München, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary angiographies (CAs) are among the most common diagnostic procedures carried out in German hospitals, and substantial regional differences in their frequency of use have been documented. Given the heterogeneity with regard to the expected benefits and the varying scope for discretion depending on the indication for the procedure, we hypothesized that the observed variation and the association of need and supply factors differs by indication for CA.

methodsWe investigated the correlation between supply factors and the regional rates of CAs in Germany while controlling for need using spatial-autoregressive error models (SARE) and spatial cross-regressive models with autoregressive errors (SCRARE). The overall rates of CAs and the rates in specific patient subgroups, namely, patients with and without myocardial infarction (MI), were calculated based on a comprehensive set of nationwide routine data from three statutory health insurances at the district level.

resultsAlthough little variation was found in cases with MI, considerable variation was seen in the overall cases and cases without MI. The SARE models revealed a positive association between the number of hospitals with a cardiac catheterization laboratory per 10,000 population and the rates of overall cases and cases without MI, whereas no such relationship existed in cases with MI. Additionally, an association between regional deprivation and the rates of CAs was found in cases with MI, but no such association was seen in cases without MI.

conclusionsThe results supported the hypothesis that the relative association of need and supply factors differed by the indication for CA. Although the regional differences in the frequency of use of CAs can only be explained in part by the factors examined in our study, it offers insight into patient access to and the provision of CA services and can provide a platform for further local research.

Indexed as

Myocardial InfarctionCoronary AngiographyGermanyHospitalsHumansSpatial AnalysisClinical practice variationCoronary angiographyCoronary heart diseaseIndicationRegional analysis

Identifiers

PMID35219312
PMCPMC8882285

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.