Evidence map›Paper›PMID 37282512›Full record

ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

Burden of Illness and Treatment Patterns Among Patients With von Willebrand Disease in US Clinical Practice.

Elyse Swallow, Jessica R Marden, Emma Billmyer, Erica Yim, Shawn X Sun

Abstract read
In one paragraph

Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
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

5 authors.

Elyse SwallowAnalysis Group, Inc, Boston, MA, USA.
Jessica R MardenAnalysis Group, Inc, Boston, MA, USA.
Emma BillmyerAnalysis Group, Inc, Boston, MA, USA.
Erica YimAnalysis Group, Inc, Boston, MA, USA.
Shawn X SunTakeda Development Center Americas, Inc., Cambridge, MA, USA.ORCID 0000-0002-7949-2145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this retrospective cohort study, data from an integrated US healthcare system containing both electronic medical record data and linked claims data (from 01/2004 to 12/2020) were used to evaluate the clinical burden, treatment patterns, and healthcare resource use (HRU) in patients with von Willebrand disease (VWD). Two patient cohorts were analyzed: the overall VWD population (n  =  396) and a subset of these patients (n  =  75) who were considered potentially eligible for prophylaxis treatment with von Willebrand factor (VWF) based on a history of severe and frequent bleeding. HRU (hospitalizations, outpatient visits, and emergency department visits) were measured in patients with linked claims data (n  =  110, overall VWD patients; n  =  23 potentially VWF-prophylaxis-eligible VWD patients). In general, patients with VWD experienced a substantial burden of bleeding events, comorbidities, and HRU. Patients with VWD who were considered potentially eligible for prophylaxis owing to severe and frequent bleeds suffered from a higher clinical burden and HRU than the overall VWD population, and thus may benefit from VWF prophylactic treatment. The findings from this study could help improve clinical outcomes and manage HRU for patients with VWD.

Indexed as

von Willebrand DiseasesCost of IllnessHemorrhageHumansRetrospective Studiesvon Willebrand Factorvon Willebrand Factorclinical burdenelectronic health recordshealthcare resource utilizationvon Willebrand diseasevon Willebrand factor

Identifiers

PMID37282512
PMCPMC10259101

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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.