Evidence map›Paper›PMID 38545578›Full record

ArticleIndian journal of surgical oncology2024

Retroperitoneal Liposarcoma: Rational Extent of Surgery Tailored to Grade of Malignancy.

Alexander Yu Volkov, Sergey N Nered, Nikolay A Kozlov, Ivan S Stilidi, Peter P Arhiri, Elena Yu Antonova

Open access · greenAbstract read
In one paragraph

Article in Indian journal of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Alexander Yu VolkovDepartment of Oncology, "Center of Innovative Technologies" LLC, Euroonco Clinic, 22, Dukhovskoy Lane, Moscow, 115191 Russian Federation.ORCID 0000-0003-4412-2256
Sergey N NeredDepartment of Abdominal Surgery, FSBI «National Medical Research Center of Oncology Named After N.N. Blokhin» of the Ministry of Health of Russia, Moscow, Russian Federation.
Nikolay A KozlovDepartment of Pathology, FSBI «National Medical Research Center of Oncology Named After N.N. Blokhin» of the Ministry of Health of Russia, Moscow, Russian Federation.
Ivan S StilidiDepartment of Abdominal Surgery, FSBI «National Medical Research Center of Oncology Named After N.N. Blokhin» of the Ministry of Health of Russia, Moscow, Russian Federation.
Peter P ArhiriDepartment of Abdominal Surgery, FSBI «National Medical Research Center of Oncology Named After N.N. Blokhin» of the Ministry of Health of Russia, Moscow, Russian Federation.
Elena Yu AntonovaDepartment of Chemotherapy, FSBI «National Medical Research Center of Oncology Named After N.N. Blokhin» of the Ministry of Health of Russia, Moscow, Russian Federation.
Ministry of Health of the Russian Federation · RUNational Medical Research Center of Cardiology · RUResearch Center of Neurology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was aimed at determining the indications for combined and organ-preserving operations. The study included 190 patients with retroperitoneal liposarcoma (RLPS). The influence of the following factors on the overall survival (OS) and recurrence-free survival (RFS) were studied: involvement of adjacent organs in the tumor, volume of surgical intervention. OS and RFS were worse in pathologically confirmed visceral invasion in the both RLPS low grade and high grade (

Indexed as

LiposarcomaSarcomaSurgery

Identifiers

PMID38545578
PMCPMC10963701
OpenAlexW4322772521

What OpenQuestion holds

Textmetadata
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.