Evidence map›Paper›PMID 25663873›Full record

ArticleOncology letters2015

Sarcoidosis in gastric cancer at the time of diagnosis: A case report.

Yang Jiao, Jie Ning, Wen-DI Zhao, Yan-Li Li, Hong-Yang Wu, Kang-Sheng Gu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2015. 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
0.2field-weighted citation impact, top 42% 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, 3 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

6 authors at 2 institutions in 1 country.

Yang JiaoDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China.
Jie NingDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China.
Wen-DI ZhaoDepartment of Pathology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China.
Yan-Li LiDepartment of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230601, P.R. China.
Hong-Yang WuDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China.
Kang-Sheng GuDepartment of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, P.R. China.
Anhui Medical University · CNFirst Affiliated Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcoidosis is a multisystemic inflammatory disease that commonly affects the lungs and lymphatic system and is characterized by the formation of non-caseating granulomas. Although the association between sarcoidosis and malignant diseases has been well described, it remains controversial whether this association is merely a coincidence or the consequence of a common pathophysiological mechanism. The present study reports a rare case of sarcoidosis that was present in a patient with gastric cancer at the time of diagnosis. A 64-year-old female diagnosed with stage I gastric cancer underwent curative surgery, and the postoperative pathology of the lymph nodes revealed non-caseating granulomas. At the 4-year follow-up, the sarcoidosis remained stable, and no recurrence of cancer was identified. The present case revealed that sarcoidosis and gastric cancer may coexist simultaneously and focused on the potential advantages of histological confirmation in patients with cancer and sarcoidosis.

Indexed as

diagnosisgastric cancerpathologysarcoidosis

Identifiers

PMID25663873
PMCPMC4315069
OpenAlexW2026646103

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.