Evidence map›Paper›PMID 30985710›Full record

SynthesisMedicine2019

Laparoscopic approach to an incidentally found pelvic retroperitoneal liposarcoma: Case report and review.

Vincenzo Dario Mandato, Valentina Mastrofilippo, Loredana De Marco, Lorenzo Aguzzoli

Open access · goldAbstract readCase ReportsSystematic Review
In one paragraph

Synthesis in Medicine, 2019. 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
–field-weighted citation impact, top 95% 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, 2 citations in OpenAlex.

  1. Review
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

4 authors at 1 institution in 1 country.

Vincenzo Dario MandatoUnit of Obstetrics and Gynecology.
Valentina MastrofilippoUnit of Surgical Gynecol Oncology.
Loredana De MarcoUnit of Pathology, Azienda USL-IRCCS of Reggio Emilia, Risorgimento, Italy.
Lorenzo AguzzoliUnit of Surgical Gynecol Oncology.
Anesthesiology and Surgical Oncology Research Group · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleWell-differentiated liposarcomas (WDLPS) are rare retroperitoneal tumors that can reach significant size as they can grow without constrains before becoming symptomatic. Laparotomic open radical tumor resection represents the most common surgical approach. PATIENT CONCERNS: A mass with "fat fluid level" was found in the right pelvis of an asymptomatic woman undergoing routine transvaginal ultrasound: the preoperative diagnosis was right mature ovarian teratoma. DIAGNOSIS: Postoperative histopathology confirmed the diagnosis of WDLPS.

interventionsA radical laparoscopic excision of the retroperitoneal mass with bilateral salpingectomy was performed. OUTCOMES: Patient is free of disease at 18 months after surgery. LESSON: Despite computed tomography scan is the gold standard technique to identify WDLPS, such neoplasms can be misdiagnosed for mature ovarian teratomas. When a retroperitoneal mass is incidentally discovered during a surgery, an open core-needle biopsy is usually performed, and appropriate treatment planned only after complete staging and final pathology are available. Instead, when tumor margins are identified, resection of an incidentally diagnosed WDLPS would benefit from laparoscopic magnification that could improve distinguishing the disease from the surrounding tissues. Therefore, laparoscopy could represent a safe and effective technique to diagnose and treat retroperitoneal diseases.

Indexed as

LaparoscopyFemaleHumansIncidental FindingsLiposarcomaMiddle AgedOvarian NeoplasmsRetroperitoneal NeoplasmsSalpingectomyTeratomaUltrasonography

Identifiers

PMID30985710
PMCPMC6485822
OpenAlexW2938328155

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.