ReviewGefasschirurgie : Zeitschrift fur vaskulare und endovaskulare Chirurgie : Organ der Deutschen und der Osterreichischen Gesellschaft fur Gefasschirurgie unter Mitarbeit der Schweizerischen Gesellschaft fur Gefasschirurgie2022
[Predicting major bleeding events in patients with peripheral arterial disease: the OAC
Review in Gefasschirurgie : Zeitschrift fur vaskulare und endovaskulare Chirurgie : Organ der Deutschen und der Osterreichischen Gesellschaft fur Gefasschirurgie unter Mitarbeit der Schweizerischen Gesellschaft fur Gefasschirurgie, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- Short-Term Outcomes of Dual Versus Single Antiplatelet Therapy Following Popliteal and Infrapopliteal Endovascular Therapy: Data From Dutch Chronic Lower Limb-Threatening Ischemia Registry (THRILLER).Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although patients with peripheral arterial disease (PAD) are at a high risk of major bleeding owing to their comorbidity and risk profile, no validated tools exist to predict bleeding risk. To make matters worse, several randomized and controlled trials have excluded patients who are at a high risk of bleeding. Using routine health insurance claims data and machine learning methods, a pragmatic prediction model was developed and internally validated. The OAC
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.