Evidence map›Paper›PMID 33641495›Full record

ArticleThe Journal of international medical research2021

Pancreatic metastasis from squamous cell lung cancer: computed tomography and magnetic resonance imaging findings.

Tao Lu, Xinglan Li, Yao Zhou

Open access · goldAbstract readCase Reports
In one paragraph

Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Clinical and imaging manifestations of metastases from rare sites.Quantitative imaging in medicine and surgery · 2026
    Review
  3. Review
  4. 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

3 authors at 1 institution in 1 country.

Tao LuDepartment of Radiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0001-9628-2636
Xinglan LiDepartment of Pathology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
Yao ZhouDepartment of Hepatobiliary surgery, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic lesions of the pancreas are uncommon. The incidence of pancreatic involvement with squamous cell carcinoma is the lowest among the different histological subtypes of lung cancer. We present the clinical data, pathological findings, and imaging features of two cases of pancreatic metastasis from squamous cell lung cancer with a literature review. A 75-year-old man and a 67-year-old man were both diagnosed with metastatic pancreatic tumors from squamous cell lung cancer during a multidisciplinary team discussion. Both patients were misdiagnosed as having a neuroendocrine tumor of the pancreas by imaging examination before surgery. Squamous cell lung cancer metastasis to the pancreas is extremely rare, and the atypical clinical and radiological presentations make it difficult to distinguish metastatic tumors from primary pancreatic tumors.

Indexed as

Carcinoma, Squamous CellLung NeoplasmsPancreatic NeoplasmsAgedEpithelial CellsHumansMagnetic Resonance ImagingMalecomputed tomographydiagnosislung cancermagnetic resonance imagingPancreatic metastasissquamous cell

Identifiers

PMID33641495
PMCPMC7924000
OpenAlexW3135576140

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.