Evidence map›Paper›PMID 33019473›Full record

ArticleMedicine2020

Angiosarcoma characterized by colonic polyps: A case report.

Fei Zhao, Hanghai Pan, XiaoGang Wang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2020. 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
0.3field-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

3 authors at 2 institutions in 2 countries.

Fei ZhaoDepartment of Gastroenterology.
Hanghai PanDepartment of Gastroenterology.ORCID 0000-0002-7366-8269
XiaoGang WangDepartment of Nuclear Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Zhejiang, Province, China.
Hangzhou Medical College · CNS.P.E.C.I.E.S. · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleAngiosarcoma is a highly invasive tumour with a low incidence rate but high rates of local recurrence and distant metastasis and a poor prognosis. Understanding the endoscopic characteristics of angiosarcoma will help with early diagnosis and treatment of this disease. PATIENT CONCERNS: The patient was a 77-year-old female who was admitted to the hospital due to recurring melena for 3 months. Outpatient gastroscopy showed that the patient had multiple gastric erosions. Colonoscopy revealed the presence of multiple protruding lesions in the colon and multiple rectal polyps. Pathological biopsy indicated that the patient had a tubular adenoma, which was removed by endoscopic resection. DIAGNOSES: Postsurgical pathologic assessment suggested that the histological subtype was epithelioid angiosarcoma. Positron emission tomography-computed tomography (PET-CT) revealed multiple metastases in the lymph nodes and bone.

interventionsThe patient underwent acid suppression to protect the stomach, fluid supplementation and red blood cell infusion, and subsequently, surgery, radiotherapy and chemotherapy were recommended. The patient's family refused further treatments for the patient and requested discharge. OUTCOMES: The patient refused further treatment and was not followed-up. LESSONS: Colorectal angiosarcoma is an extremely rare and highly malignant tumour, and understanding its endoscopic morphology will help aid in its diagnosis.

Indexed as

AdenomaAgedBiopsyBone NeoplasmsColonic PolypsColonoscopyFemaleGastroscopyHemangiosarcomaHumansLymphatic MetastasisMelenaPositron Emission Tomography Computed TomographyRectal NeoplasmsTreatment Refusal

Identifiers

PMID33019473
PMCPMC7535772
OpenAlexW3091514582

What OpenQuestion holds

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LicenceCC BY
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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.