Evidence map›Paper›PMID 42524286›Full record

ArticleThe British journal of cardiology2026

Risks of bleeding

Hannah Glatzel, Heba Nashat, Dalia Khan, Lucy Wood, Claire Harris, Victoria McDonnell, Gurpreet Bahra, Elizabeth Orchard

Abstract read
In one paragraph

Article in The British journal of cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Hannah GlatzelACCS IMT Doctor, Great Western Hospital, Swindon.
Heba NashatConsultant Cardiologist, Oxford University Hospitals NHS Foundations Trust, Oxford.
Dalia KhanConsultant Haematologist, Oxford University Hospitals NHS Foundations Trust, Oxford.
Lucy WoodSenior Thrombosis Nurse Specialist, Oxford University Hospitals NHS Foundations Trust, Oxford.
Claire HarrisAnticoagulation In-Patient Safety Nurse, Oxford University Hospitals NHS Foundations Trust, Oxford.
Victoria McDonnellLead Anticoagulation and Thrombosis Pharmacist, Oxford University Hospitals NHS Foundations Trust, Oxford.
Gurpreet BahraLead Anticoagulation and Thrombosis Pharmacist, Oxford University Hospitals NHS Foundations Trust, Oxford.
Elizabeth OrchardConsultant Congenital Cardiologist, Oxford University Hospitals NHS Foundations Trust, Oxford.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anticoagulation with vitamin K antagonists is recommended for prevention of thromboembolism in patients with mechanical heart valves. However, this treatment carries a notable risk of bleeding. We performed a retrospective analysis of patients with mechanical heart valves who were anticoagulated with warfarin, extracting the number and type of mechanical heart valves and their time in therapeutic range (TTR) for various recommended international normalised ratio (INR) ranges. Following this, we carried out a prospective study, over two separate six-month periods, identifying those with mechanical heart valves who sustained a bleeding or thromboembolic event. We identified 409 patients with mechanical heart valves with an overall TTR of 68%. Over 12 months, we recorded 32 possible bleeding incidents in 22 patients. There was one thromboembolic event during this period, specifically a cerebrovascular event. In conclusion, while our data indicate an elevated risk of bleeding, additional larger studies are needed to better understand bleeding risks across different demographic groups.

Indexed as

anticoagulationbleedingmechanical heart valvesthromboembolismwarfarin

Identifiers

PMID42524286
PMCPMC13410968

What OpenQuestion holds

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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.