The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Trends in thrombolytic treatment and outcomes of acute pulmonary embolism in Germany
Open accessAbstract
Aims: Pulmonary embolism (PE) is the third most common cardiovascular cause of death; systemic thrombolysis is potentially lifesaving treatment in patients presenting with haemodynamic instability. We investigated trends in the use of systemic thrombolysis and the outcome of patients with acute PE. Methods and results: We analysed data on the characteristics, comorbidities, treatment, and in-hospital outcome of 885 806 PE patients in Germany between 2005 and 2015. Incidence of acute PE was 99/100 000 population/year and increased from 85/100 000 in 2005 to 109/100 000 in 2015 [β 0.32 (0.26–0.38), P < 0.001]. During the same period, in-hospital case fatality rates decreased from 20.4% to 13.9% [β −0.51 (−0.52 to −0.49), P < 0.001]. The overall proportion of patients treated with systemic thrombolysis increased from 3.1% in 2005 to 4.4% in 2015 [β 0.28 (0.25–0.31), P < 0.001]. Thrombolysis was associated with lower in-hospital mortality rates in patients with haemodynamic instability, both in those with shock not necessitating cardiopulmonary resuscitation (CPR) or mechanical ventilation [odds ratio (OR) 0.42 (0.37–0.48), P < 0.001], and in those who underwent CPR [OR 0.92 (0.87–0.97), P = 0.002]. This association was independent from age, sex, and comorbidities. However, systemic thrombolysis was administered to only 23.1% of haemodynamically unstable patients. Conclusion: Although the proportion of PE patients treated with systemic thrombolysis increased slightly in Germany between 2005 and 2015, only the minority of haemodynamically unstable patients currently receive this treatment. In the nationwide inpatient cohort, thrombolytic therapy was associated with reduced in-hospital mortality rates in PE patients with shock, and also in those who underwent CPR.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
2014 ESC Guidelines on the diagnosis and management of acute pulmonary embolism
Authors/Task Force Members, Konstantinides, S. V., Torbicki, A., Agnelli, G., Danchin, N., Fitzmaurice, D., Galiè, N., Gibbs, J. S. R., Huisman, M. V., Humbert, M., et al. (2014) · European Heart Journal · doi:10.1093/eurheartj/ehu283 · Cited by 3,128
Self-citationKucher, N., Rossi, E., De Rosa, M., & Goldhaber, S. Z. (2006) · Circulation · doi:10.1161/circulationaha.105.592592 · Cited by 780
Agarwal, S., Clark, D., Sud, K., Jaber, W. A., Cho, L., & Menon, V. (2015) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2015.07.048 · Cited by 79
Cited by
Keller, K., Schmitt, V. H., Vosseler, M., Brochhausen, C., Münzel, T., Hobohm, L., & Espinola-Klein, C. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10215033 · Cited by 31
Self-citation
Metadata
- Authors
- Keller, K., Hobohm, L., Ebner, M., Kresoja, K.-P., Münzel, T., Konstantinides, S. V., & Lankeit, M.
- Venue
- European Heart Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-05-18
- Volume
- 41
- Issue
- 4
- Pages
- 522-529
- ISSN
- 0195-668X (ISSN-L)
- 1522-9645
- OpenAlex
- W2945776346
- Cited by
- 515
- References
- 3
- FWCI
- 34.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.