Evidence map›Paper›PMID 40045277›Full record

ArticleBMC cancer2025

Development and validation of a predictive model for diagnosing EBER-positive lymphoma-associated hemophagocytic lymphohistiocytosis.

Yuhong Yin, Wenzhi Zhang, Lizhen Zhao, Ying Li, Minchun Huang, Yu Han, Xiaoyan Wu

Abstract readValidation Study
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

7 authors.

Yuhong Yin *Department of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.ORCID http://orcid.org/0009-0000-1312-4561
Wenzhi Zhang *Department of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.ORCID http://orcid.org/0000-0003-4123-5087
Lizhen ZhaoDepartment of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.ORCID https://orcid.org/0009-0005-7507-1297
Ying LiDepartment of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.ORCID https://orcid.org/0000-0002-7665-4698
Minchun HuangDepartment of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.ORCID https://orcid.org/0009-0004-4603-9661
Yu HanDepartment of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.
Xiaoyan WuDepartment of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China. xwu@hust.edu.cn.ORCID https://orcid.org/0000-0002-1644-5325

Funding

the Innovative Research Grant from the Science and Technology Department of Hubei Province 2023BCB026
6 · The paper itself

Abstract

purposeThis study aims to identify distinguishing factors between EBER-positive lymphoma-associated hemophagocytic lymphohistiocytosis and non-neoplastic EBV-associated hemophagocytic lymphohistiocytosis. Additionally, we developed and validated a predictive diagnostic model based on these factors.

methodsTo evaluate the early identification of individuals with EBER-positive lymphoma-associated hemophagocytic lymphohistiocytosis versus non-neoplastic EBV-associated hemophagocytic lymphohistiocytosis, we carried out a retrospective cohort research. The medical records system included 148 individuals' diagnoses of EBV-associated hemophagocytic lymphohistiocytosis between 2015 and 2023.

resultsIn this study, 148 patients were included, 75 of whom had non-neoplastic EBV-associated hemophagocytic lymphohistiocytosis and the remaining 73 had EBER-positive lymphoma-associated hemophagocytic lymphohistiocytosis. The highest AUC, with a good predictive value, was found for IL-10 > 39.87 pg/ml in separating EBER-positive lymphoma-associated hemophagocytic lymphohistiocytosis from non-neoplastic EBV-associated hemophagocytic lymphohistiocytosis. The diagnosis of EBER-positive lymphoma-associated hemophagocytic lymphohistiocytosis was influenced by platelets < 33.5*10

conclusionThe results of this study showed that the prediction model based on platelets < 33.5*10

Indexed as

Epstein-Barr Virus InfectionsHerpesvirus 4, HumanLymphohistiocytosis, HemophagocyticLymphomaAdolescentAdultAgedFemaleHumansInterleukin-10MaleMiddle AgedPredictive Value of TestsRetrospective StudiesROC CurveYoung AdultInterleukin-10Epstein-Barr virusHemophagocytic lymphohistiocytosisLymphomaPredictive model

Identifiers

PMID40045277
PMCPMC11881351

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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.