Evidence map›Paper›PMID 31037096›Full record

ArticleUltrasound (Leeds, England)2019

Contrast-enhanced ultrasound for multiple liver lesions after bone marrow transplant in a child with leukaemia: Multifocal focal nodular hyperplasia.

M V Verhagen, O Ciocarlie, P Humphries, T Watson

Open access · greenAbstract readCase Reports
In one paragraph

Article in Ultrasound (Leeds, England), 2019. 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
0.2field-weighted citation impact, top 47% of its field
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 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

M V VerhagenRadiology Department, Great Ormond Street Hospital, London, UK.ORCID https://orcid.org/0000-0001-9804-5781
O CiocarlieHaematology Department, Great Ormond Street Hospital, London, UK.
P HumphriesRadiology Department, Great Ormond Street Hospital, London, UK.
T WatsonRadiology Department, Great Ormond Street Hospital, London, UK.
Great Ormond Street Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a case of a two-year-old girl in which liver lesions were characterised on contrast-enhanced ultrasound as multifocal focal nodular hyperplasia. This child had previously undergone haematopoietic stem cell transplantation for juvenile myelomonocytic leukaemia and was suspected to have hepatobiliary graft versus host disease. Liver biopsy was performed to confirm the unexpected focal nodular hyperplasia and look for concurrent graft versus host disease. Focal nodular hyperplasia was histologically confirmed on a background of diffuse liver damage in keeping with polypharmacotherapy, steatosis and sepsis. An element of graft versus host disease was not excluded but was not confidently shown in the sample of the lesion. This case report describes and illustrates how contrast-enhanced ultrasound may be of use to further assess hepatic lesions in a complex case of multifactorial hepatic pathology. Radiologists, haematologists and pathologists should be aware that multifocal focal nodular hyperplasia is part of the differential diagnosis of liver lesions in a child with liver damage due to complex disease and treatment. Biopsy remains the gold standard, if there is a concurrent clinical suspicion of graft versus host disease.

Indexed as

contrast-enhanced ultrasoundfocal nodular hyperplasiaGraft versus host diseaseHaematopoietic stem cell transplantationpost-transplant lymphoproliferative disease

Identifiers

PMID31037096
PMCPMC6475970
OpenAlexW2887869529

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.