Evidence map›Paper›PMID 39643722›Full record

ArticleAnnals of hematology2024

Livedoid vasculopathy in hemoglobinopathy-associated chronic leg ulcers.

Harish Eswaran, Samuel Wilson, Jane Little, Stephan Moll

Abstract read
In one paragraph

Article in Annals of hematology, 2024. 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

4 authors.

Harish EswaranDivision of Hematology, Department of Medicine, UNC Chapel Hill School of Medicine, Chapel Hill, NC, United States of America. harish.eswaran@unchealth.unc.edu.ORCID http://orcid.org/0000-0001-9604-1138
Samuel WilsonDivision of Hematology, Department of Medicine, UNC Chapel Hill School of Medicine, Chapel Hill, NC, United States of America.ORCID http://orcid.org/0000-0001-6517-0076
Jane LittleDivision of Hematology, Department of Medicine, UNC Chapel Hill School of Medicine, Chapel Hill, NC, United States of America.
Stephan MollDivision of Hematology, Department of Medicine, UNC Chapel Hill School of Medicine, Chapel Hill, NC, United States of America.ORCID http://orcid.org/0000-0001-8573-7930

Funding

Research Training in Hematology at UNC Chapel HillT32HL007149 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Nigel S. Key · 1985 to 2026
$8.6M
NHLBI NIH HHS T32 HL007149NHLBI NIH HHS T32HL007149
6 · The paper itself

Abstract

Chronic leg ulceration is a debilitating manifestation of hemoglobinopathies, and best management is uncertain. Livedoid vasculopathy (LV) is a cutaneous non-inflammatory thrombotic vasculopathy treated with anticoagulation that has been identified in hemoglobinopathy-associated chronic leg ulceration. However, most patients with hemoglobinopathy-associated ulcers do not undergo workup for secondary causes, and the prevalence and relevance of LV is unclear. Outcomes of secondary workup were examined retrospectively in this study. 108 patients with hemoglobinopathy-associated chronic leg ulcers were identified. 15% of patients underwent skin biopsy, and 97% of biopsies showed non-specific findings. Two patients had LV and neither responded to anticoagulants. Livedoid vasculopathy is a rare cause of ulceration in hemoglobin gene disorders and the benefit of anticoagulation in these cases is unclear.

Indexed as

Leg UlcerAdultAgedAnticoagulantsChronic DiseaseFemaleHemoglobinopathiesHumansLivedo ReticularisMaleMiddle AgedRetrospective StudiesSkinSkin Diseases, VascularYoung AdultAnticoagulantsLeg ulcerLivedoid vasculopathySickle cell diseaseThalassemiaThrombosis

Identifiers

PMID39643722
PMCPMC12892973

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.