Evidence map›Paper›PMID 42067029›Full record

ArticleClinical medicine (London, England)2026

Parvovirus B19-associated fat embolism syndrome in sickle cell disease: A report of two cases.

Anna Corby, Jessica Lubel, Sara Stuart-Smith, Arne de Kreuk, Rachel Kesse-Adu, Temi Lampejo

Abstract readCase Reports
In one paragraph

Article in Clinical medicine (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Anna CorbyDepartment of Haematology, King's College Hospital NHS Foundation Trust, United Kingdom.
Jessica LubelDepartment of Radiology, King's College Hospital NHS Foundation Trust, United Kingdom.
Sara Stuart-SmithDepartment of Haematology, King's College Hospital NHS Foundation Trust, United Kingdom.
Arne de KreukDepartment of Haematology, King's College Hospital NHS Foundation Trust, United Kingdom.
Rachel Kesse-AduDepartment of Haematology, Guy's and St. Thomas' NHS Foundation Trust, United Kingdom.
Temi LampejoDepartment of Infection Sciences, King's College Hospital NHS Foundation Trust, United Kingdom. Electronic address: temi.lampejo@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fat embolism syndrome (FES) is a rare but likely underdiagnosed complication of sickle cell disease (SCD) characterised by multi- or single-organ involvement secondary to embolism of fat and/or necrotic bone marrow. It is one of the most devastating acute complications of SCD and historically the diagnosis has often been made on the basis of post-mortem findings. Literature on FES in SCD is scarce, although most reported cases are individuals with non-HbSS genotypes for reasons which have not yet been fully elucidated. Even fewer data exist regarding the potential association with parvovirus B19 (B19V) and the mechanisms by which B19V infection could trigger FES in SCD. Management is largely supportive, with early intensive care team involvement for close monitoring and potential organ support. Emerging evidence, albeit limited, suggests that early exchange transfusion has an important role in improving clinical outcomes. We describe two life-threatening cases of FES in patients with SCD of differing genotypes, who required intensive care unit admission but who both recovered with supportive management and early exchange transfusion.

Indexed as

Anemia, Sickle CellEmbolism, FatParvoviridae InfectionsParvovirus B19, HumanHumansECMOFat embolism transfusionParvovirusPlasma exchangePLEXRed cell exchangeTPE

Identifiers

PMID42067029
PMCPMC13195316

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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.