Evidence map›Paper›PMID 32541525›Full record

ArticleMedicine2020

The association of gene rearrangement and lymphoma diagnosis: A prospective observational study.

Xiaoyan He, Pei Xu, Xianwei Wang, Shuming Jiang, Daoyin Gong, Ning Wu

Registry-linked trialAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06070246 (Gaining Insights Into Patient Involvement Patterns and Trends in Participation in Lymphoma Clinical Trials), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT06070246 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Gaining Insights Into Patient Involvement Patterns and Trends in Participation in Lymphoma Clinical Trials

TypeobservationalSponsorPower Life Sciences Inc.Ran2024 to 2026Enrolled500ConditionsLymphoma
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Xiaoyan HeDepartment of Pathology, Deyang People's Hospital, Deyang City.
Pei XuDepartment of Pathology, Deyang People's Hospital, Deyang City.
Xianwei WangDepartment of Pathology, Deyang People's Hospital, Deyang City.
Shuming JiangDepartment of Pathology, Deyang People's Hospital, Deyang City.
Daoyin GongDepartment of Pathology, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Ning WuDepartment of Pathology, Deyang People's Hospital, Deyang City.ORCID 0000-0002-6328-7526

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo investigate the gene rearrangement and mutation of lymphoma biomarkers including (Immunoglobulin H (IgH), Immunoglobulin kappa (IGK), Immunoglobulin lambda (IGL), and TCR) in the lymphoma diagnosis. METHODS AND ANALYSIS: Paraffin tissue samples from 240 cases diagnosed as suspected lymphoma in the department of pathology, Deyang City People's Hospital from June 2020 to June 2021 will be enrolled. Deoxyribonucleic acid extraction and Polymerase Chain Reaction (PCR) amplification will be performed in these paraffin tissue samples. Immunoglobulin and T cell receptor (TCR) rearrangement will be analyzed by hetero-double chain gel electrophoresis and BioMed-2 standardized immunoglobulin gene rearrangement detection system. In this study protocol IGH gene rearrangement, IGK gene rearrangement, both IGH and IGL gene rearrangement, both IGH and IGK gene rearrangement, both IGK and IGL gene rearrangement, both IGH, IGK and IGL gene rearrangement, TCR gene rearrangement and positive Ig/TCR rearrangement will be analyzed. DISCUSSION: In this study, we will use B and T cell lymphoma analysis focusing on IgH, IGK, IGL, and TCR gene rearrangement, so as to provide early guidance for the diagnosis of lymphoma. Second generation sequencing technology is helpful in the differential diagnosis of lymphoma.

trial registrationChinese Clinical trial registry: ChiCTR2000032366.

Indexed as

Gene RearrangementMutationResearch DesignHumansLymphomaObservational Studies as TopicProspective Studies

Identifiers

PMID32541525
PMCPMC7302616

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