Evidence map›Paper›PMID 26402808›Full record

ArticleMedicine2015

Pulmonary Extranodal Natural Killer/T-Cell Lymphoma (Nasal Type): A Case Report and Radiological Image Review.

Wang Fei, Wang Xiaohong, Zhu Hong, He Bei

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. American journal of nuclear medicine and molecular imaging · 2023
    Review
  6. Review
  7. [Clinical analyses of 24 patients with primary pulmonary NK/T-cell lymphoma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

4 authors at 1 institution in 2 countries.

Wang FeiFrom the Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Haidian district, Beijing, China.
Wang Xiaohong
Zhu Hong
He Bei
National Natural Science Foundation of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An 83-year-old woman presented with intermittent fever for 2 weeks. Chest radiography and computed tomography images showed multiple nodules and masses scattered in both lung fields. Tissue samples obtained by computed tomography-guided needle biopsy revealed extranodal natural killer/T-cell lymphoma (ENKL). The lung is the major site of involvement and the skin may be the primary site. The radiological imaging of this case is different from the cases reported before. Besides, we reviewed the medical records of our hospital and searched the Pubmed database and found 12 cases altogether (include the case presented), which were diagnosed with pulmonary ENKL, and the features of chest images were studied. To our knowledge, this is the first time that the chest imaging features of pulmonary ENKL were reviewed. We conclude that if the radiographic manifestations are multiple patchy consolidations or multiple nodules and masses in both lungs with or without bilateral pleural effusions, the diagnostic considerations should include ENKL.

Indexed as

LungLymphoma, Extranodal NK-T-CellAged, 80 and overDiagnosis, DifferentialFatal OutcomeFemaleHumansImage-Guided BiopsyImmunohistochemistryNatural Killer T-CellsPositron-Emission TomographyTomography, X-Ray Computed

Identifiers

PMID26402808
PMCPMC4635748
OpenAlexW2327962502

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.