Evidence map›Paper›PMID 28248855›Full record

SynthesisMedicine2017

Plasmablastic lymphoma: Review of 60 Chinese cases and prognosis analysis.

Xiao Han, Minghui Duan, Lixing Hu, Daobin Zhou, Wei Zhang

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
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  18. Plasmablastic lymphoma in Malawi.Infectious agents and cancer · 2018
    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

5 authors at 1 institution in 3 countries.

Xiao HanDepartment of Hematology Department of Internal Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China.
Minghui Duan
Lixing Hu
Daobin Zhou
Wei Zhang
Apple (Israel) · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlasmablastic lymphoma (PBL) is a B-cell malignancy associated with human immunodeficiency virus (HIV). PBL could also influence the HIV-negative patients. The study aimed to identify prognostic factors for survival among Chinese PBL patients. MATERIALS AND

methodsEligible patients from literature and Peking Union Medical College Hospital (PUMCH) were included in this study. Clinical characteristics and immunophenotypic data were extracted. Kaplan-Meier curve was used to describe the survival status. Cox regression was used for multivariate analysis.

resultsA total of 60 Chinese PBL patients were included, including 54 patients from 36 published articles and 6 new patients that have not been reported. The median overall survival was 7 months (95% confidence interval 3.853-10.147 months). An overwhelming majority (79.31%) of the included cases were Ann Arbor stage IV patients. All the Chinese PBL patients were HIV-negative; 46.81% were Epstein-Barr virus-positive. CD38, CD138, or MUM1 was positively expressed in more than 80% of patients; CD20 expression was also found in 22.03% of cases. Kaplan-Meier curve revealed obvious differences in patient survival between patients in primary stages and advanced stages, as well as between patients with kidney involvement and those without kidney involvement. Cox regression analysis indicated that stage and age were 2 prognostic factors for patient survival.

conclusionsAdvanced stage might be associated with poor prognosis among PBL HIV-negative patients in Chinese.

Indexed as

ChinaHumansPlasmablastic LymphomaPrognosis

Identifiers

PMID28248855
PMCPMC5340428
OpenAlexW2594354826

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.