Evidence map›Paper›PMID 36406196›Full record

ReviewWorld journal of oncology2022

Giant Retroperitoneal Liposarcoma: Correlation Between Size and Risk for Recurrence.

Rozan Marjiyeh-Awwad, Subhi Mansour, Safi Khuri

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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  15. Types of Cancer and Research Covered inWorld journal of oncology · 2022
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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.

Rozan Marjiyeh-AwwadDepartment of General Surgery, Rambam Health Care Campus, Haifa, Israel.
Subhi MansourDepartment of General Surgery, Rambam Health Care Campus, Haifa, Israel.
Safi KhuriDepartment of General Surgery, Rambam Health Care Campus, Haifa, Israel.
Rambam Health Care Campus · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft tissue sarcomas (STSs) are rare tumors that represent almost 1% of adult malignant tumors. The annual incidence rate for such tumors is 2 - 5/100,000 population. The most common type of STS in adults is liposarcoma, which represents 15-20% of adult STSs. It is of mesodermic origin derived from adipose tissues, and known as the most common primary malignant tumor of the retroperitoneum. Other sites of involvement include the extremities, trunk and to a lesser extent the pleural cavity, esophagus, mediastinum and others. Due to the potential large retroperitoneal space, retroperitoneal liposarcoma (RPL) is usually asymptomatic during the initial phase, developing symptoms at a late stage due to large mass compressing nearby retroperitoneal structures. The average diameter and weight of RPL during diagnosis is 20 - 25 cm and 15 - 20 kg, respectively. Several factors were labelled as risk factors for recurrence, such as histological type, tumor grade, age, resectability and tumor size. Controversy exists regarding the relationship between tumor size and recurrence rate, thus, tumor size as a risk factor for recurrence should be clarified. Although there is no consensus regarding the precise definition of giant RPL, it is defined by several literatures as an RPL of greater than 30 cm in diameter or with weight of more than 20 kg. The main purpose of this article is to review the current English literature regarding giant RPL and examine the relationship between tumor size and risk for recurrence.

Indexed as

Giant retroperitoneal liposarcomaRecurrence riskTumor size

Identifiers

PMID36406196
PMCPMC9635795
OpenAlexW4307101105

What OpenQuestion holds

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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.