Evidence map›Paper›PMID 34569927›Full record

ArticleParasite (Paris, France)2021

Kodama-XUUB: an informative classification for alveolar echinococcosis hepatic lesions on magnetic resonance imaging.

Éléonore Brumpt, Wenya Liu, Tilmann Graeter, Paul Calame, Shi Rong, Yi Jiang, Weixia Li, Haihua Bao, Éric Delabrousse, XUUB consortium

Abstract read
In one paragraph

Article in Parasite (Paris, France), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Stage-Oriented CT Classification and Intermodal Evolution Model in Hepatic Alveolar Echinococcosis.RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin · 2022
    Article
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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

10 authors.

Éléonore BrumptUniversity Bourgogne Franche-Comté (UFC) and Besançon University Hospital, WHO Collaborating Centre on Prevention and Treatment of Human Echinococcosis/National French Reference Centre for Echinococcosis, UMR 6249 CNRS-UFC Chrono-environment, 25030 Besançon, France - Department of Anatomy, University of Franche-Comté, 25000 Besançon, France - Nanomedicine Laboratory, INSERM EA 4662, University of Franche-Comté, 25000 Besançon, France.ORCID 0000-0001-5221-4818
Wenya LiuXinjiang Medical University, First Affiliated Hospital, WHO Collaborating Centre on Prevention and Care Management of Echinococcosis, 830000 Urumqi, Xinjiang Uyghur Autonomous Region, PR China.
Tilmann GraeterUlm University Hospital, Department of Diagnostic and Interventional Radiology, Albert-Einstein-Allee 23, 89081 Ulm, Germany.
Paul CalameUniversity Bourgogne Franche-Comté (UFC) and Besançon University Hospital, WHO Collaborating Centre on Prevention and Treatment of Human Echinococcosis/National French Reference Centre for Echinococcosis, UMR 6249 CNRS-UFC Chrono-environment, 25030 Besançon, France - Nanomedicine Laboratory, INSERM EA 4662, University of Franche-Comté, 25000 Besançon, France.
Shi RongUlm University Hospital, Department of Diagnostic and Interventional Radiology, Albert-Einstein-Allee 23, 89081 Ulm, Germany.
Yi JiangXinjiang Medical University, First Affiliated Hospital, WHO Collaborating Centre on Prevention and Care Management of Echinococcosis, 830000 Urumqi, Xinjiang Uyghur Autonomous Region, PR China.
Weixia LiQinghai University, Qinghai University First Affiliated Hospital, 810001 Xining, Qinghai Province, PR China.
Haihua BaoQinghai University, Qinghai University First Affiliated Hospital, 810001 Xining, Qinghai Province, PR China.
Éric DelabrousseUniversity Bourgogne Franche-Comté (UFC) and Besançon University Hospital, WHO Collaborating Centre on Prevention and Treatment of Human Echinococcosis/National French Reference Centre for Echinococcosis, UMR 6249 CNRS-UFC Chrono-environment, 25030 Besançon, France - Nanomedicine Laboratory, INSERM EA 4662, University of Franche-Comté, 25000 Besançon, France.
XUUB consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo propose a modification of the Kodama classification to classify type III lesions of alveolar echinococcosis (AE) that do not have microcysts. MATERIALS AND

methods200 magnetic resonance imaging (MRI) images of AE liver lesions from four endemic regions of the world were classified according to Kodama, distinguishing within type III those with microcysts from those without. Each center included 50 MRIs of patients with unoperated AA liver lesions. The first 50 cases were classified by a first reader in the presence of four second-line readers from each region. Then each second-line reader classified his or her 50 cases.

resultsIn all centers, type III lesions were predominant: 58% of the total lesions and 23% of them were without microcysts. The average age of the patients was 47 years. In China, the patients were on average younger and the lesions larger. German patients had more lesions within the liver. Type I and II lesions, synonymous with earlier diagnosis, were more common in Europe.

conclusionThe Kodama classification needed to be modified because of the existence of a significant proportion of unclassifiable lesions. This is especially true since the presence of microcysts is an informative element of parasite activity. Therefore, this study proposes a Kodama-XUUB classification with type IIIa lesions having microcysts and type IIIb lesions not having microcysts.

Indexed as

EchinococcosisEchinococcosis, HepaticFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedAlveolar echinococcosisKodama classificationMagnetic resonance imagingXUUB study

Identifiers

PMID34569927
PMCPMC8475500

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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.