Evidence map›Paper›PMID 35979114›Full record

ArticleWorld journal of clinical cases2022

Follicular lymphoma presenting like marginal zone lymphoma: A case report.

Hao-Yu Peng, Ying-Jie Xiu, Wei-Hong Chen, Qing-Li Gu, Xin Du

Open access · diamondAbstract readCase Reports
In one paragraph

Article in World journal of clinical cases, 2022. 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
0.3field-weighted citation impact, top 45% 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, 2 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

5 authors at 1 institution in 1 country.

Hao-Yu PengDepartment of Hematology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China.
Ying-Jie XiuDepartment of Pathology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China.
Wei-Hong ChenDepartment of Hematology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China.
Qing-Li GuDepartment of Hematology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China.
Xin DuDepartment of Hematology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518035, Guangdong Province, China. duxingz@medmail.com.cn.
Shenzhen Second People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFollicular lymphoma (FL), a common type of indolent lymphoma, carries markers of the germinal center, and the rearrangement of the CASE SUMMARY: A 54-year-old male with lymphadenopathy, splenomegaly and hyperlymphocytosis was diagnosed with FL with marginal zone differentiation. The tumor demonstrated different features in the bone marrow (BM) compared with the follicle of the lymph node (LN). Some component of the neoplasm mimicked marginal zone lymphoma, such as infiltrating the marginal zone of the LN, displaying a monocytoid shape and lacking the expression of CD10 in the BM. The diagnosis of FL was made due to the concurrent detection of

conclusionDiscordant pathological features in LN and BM could mislead diagnosis. When clinical and pathological manifestations are confusing in diagnosis, typical genetic abnormalities are decisive.

Indexed as

Case reportDiscordant immunophenotypesFollicular lymphomaGene rearrangementMarginal zone differentiation

Identifiers

PMID35979114
PMCPMC9258390
OpenAlexW4281988255

What OpenQuestion holds

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LicenceCC BY-NC
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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.