Evidence map›Paper›PMID 25973107›Full record

ArticleInternational journal of clinical and experimental pathology2015

CT-guided needle biopsy in the diagnosis of lung adenocarcinoma accompanied by extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue: a rare combination.

Panwen Tian, Ye Wang, Chun Wan, Yongchun Shen, Fuqiang Wen

Open access · greenAbstract readCase Reports
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Panwen TianDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University Chengdu 610041, China.
Ye WangDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University Chengdu 610041, China.
Chun WanDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University Chengdu 610041, China.
Yongchun ShenDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University Chengdu 610041, China.
Fuqiang WenDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University Chengdu 610041, China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We represent a rare case of lung adenocarcinoma accompanied by extranodal marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT). The patient was a 66-year-old male presented with 1 month history of recurrent cough and hemoptysis. Chest CT showed solitary ground-glass opacity (GGO) in the upper lobe of the right lung and mediastinal lymph node enlargement in station 3p. A CT-guided transthoracic needle biopsy was performed. Tissue specimens of the GGO revealed a typical adenocarcinoma. Histopathologic diagnosis of mediastinal lymph node was extranodal marginal zone lymphoma of MALT. Because of its rarity, extranodal marginal zone lymphoma of MALT should be considered in the differential diagnosis when we encounter mediastinal lymphadenopathy in patients with lung adenocarcinoma.

Indexed as

AdenocarcinomaAgedBiopsy, NeedleHumansImage-Guided BiopsyLung NeoplasmsLymphoid TissueLymphoma, B-Cell, Marginal ZoneMaleNeoplasms, Multiple PrimaryCT-guided needle biopsyLung adenocarcinomalymphomamucosa-associated lymphoid tissue

Identifiers

PMID25973107
PMCPMC4396216
OpenAlexW2403859074

What OpenQuestion holds

Textmetadata
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.