Evidence map›Paper›PMID 32218828›Full record

ArticleOncology letters2020

Expression of Foxp3 and interleukin-7 receptor and clinicopathological characteristics of patients with diffuse large B-cell lymphoma.

Yan Zhao, Wen-Li Cui, Zhi-Yin Feng, Jing Xue, Abulajiang Gulinaer, Wei Zhang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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 at 2 institutions in 1 country.

Yan ZhaoDepartment of Pathology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, Urumqi 830011, P.R. China.
Wen-Li CuiDepartment of Pathology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, Urumqi 830011, P.R. China.
Zhi-Yin FengDepartment of Pathology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, Urumqi 830011, P.R. China.
Jing XueDepartment of Pathology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, Urumqi 830011, P.R. China.
Abulajiang GulinaerDepartment of Pathology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, Urumqi 830011, P.R. China.
Wei ZhangDepartment of Pathology, The First Affiliated Hospital, Xinjiang Medical University, Xinjiang, Urumqi 830011, P.R. China.
First Affiliated Hospital of Xinjiang Medical University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most specific biomarker on the surface of regulatory T cells (Tregs) is the forkhead/wingeded-helix protein 3 (Foxp3). In contrast, the expression of interleukin-7 receptor (IL-7R) is low or negative in Tregs. The present study aimed to investigate the expression of Foxp3 and IL-7R in diffuse large B-cell lymphoma (DLBCL), and to analyse the clinicopathological characteristics of patients with DLBCL and their association with overall survival (OS). Immunohistochemistry was performed to detect the expression of Foxp3 and IL-7R on routinely processed formalin-fixed and paraffin-embedded specimens. The χ

Indexed as

clinicopathological analysisdiffuse large B-cell lymphomaforkhead/winged-helix protein 3immunological targetsinterleukin-7 receptor

Identifiers

PMID32218828
PMCPMC7068468
OpenAlexW3005274436

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.