Evidence map›Paper›PMID 38347333›Full record

ArticleAnnals of surgical oncology2024

Comparing Multivisceral Resection with Tumor-only Resection of Liposarcoma Using the Win Ratio.

Leva Gorji, Melica Nikahd, Amblessed Onuma, Diamantis Tsilimigras, J Madison Hyer, Samantha Ruff, Farhan Z Ilyas, Carlo Contreras, Valerie P Grignol, Alex Kim and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

13 authors at 4 institutions in 1 country.

Leva GorjiDepartment of Surgery, Kettering Health Dayton, Dayton, OH, USA.
Melica NikahdDepartment of Biomedical Science-Biomedical informatics Columbus, Columbus, OH, USA.
Amblessed OnumaDepartment of Surgery, The Ohio State University Wexner Medical Center Columbus, Columbus, OH, USA.
Diamantis TsilimigrasDepartment of Surgery, The Ohio State University Wexner Medical Center Columbus, Columbus, OH, USA.
J Madison HyerDepartment of Biomedical Science-Biomedical informatics Columbus, Columbus, OH, USA.
Samantha RuffDivision of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, OH, USA.
Farhan Z IlyasCollege of Medicine, The Ohio State University Columbus, Columbus, OH, USA.
Carlo ContrerasDivision of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, OH, USA.
Valerie P GrignolDivision of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, OH, USA.
Alex KimDivision of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, OH, USA.
Raphael PollockDivision of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, OH, USA.
Timothy M PawlikDivision of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, OH, USA.
Joal D BeaneDivision of Surgical Oncology, Department of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital, Columbus, OH, USA. Joal.Beane@osumc.edu.ORCID http://orcid.org/0000-0002-4160-4340
The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · USColumbus Center · USThe Ohio State University Wexner Medical Center · USThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultivisceral resection of retroperitoneal liposarcoma (LPS) is associated with increased morbidity and may not confer a survival benefit compared with tumor-only (TO) resection. We compared both approaches using a novel statistical method called the "win ratio" (WR).

methodsPatients who underwent resection of LPS from 2004 to 2015 were identified from the National Cancer Database. Multivisceral resection was defined as removal of the primary site in addition to other organs. The WR was calculated based on a hierarchy of postoperative outcomes: 30-day and 90-day mortality, long-term survival, and severe complication.

resultsAmong 958 patients (multivisceral 634, TO 324) who underwent resection, the median age was 63 years (interquartile range [IQR] 54-71) with a median follow-up of 51 months (IQR 30-86). There was no difference in the WR among patients who underwent TO versus multivisceral resection in the matched cohort (WR 0.82, 95% confidence interval [CI] 0.61-1.10). In patients aged 72-90 years, those who underwent multivisceral resection had 36% lower odds of winning compared with patients undergoing TO resection (WR 0.64, 95% CI 0.40-0.98). A subgroup analysis of patients classified as not having adjacent tumor involvement at the time of surgery revealed that those patients who underwent multivisceral resection had 33% lower odds of winning compared to TO resection (WR 0.67, 95% CI 0.45-0.99).

conclusionsBased on win-ratio assessments of a hierarchical composite endpoint, multivisceral resection in patients without adjacent tumor involvement may not confer improved outcomes. This method supports the rationale for less invasive resection of LPS in select patients, especially older patients.

Indexed as

Colorectal NeoplasmsLiposarcomaRetroperitoneal NeoplasmsChild, PreschoolHumansLipopolysaccharidesRetrospective StudiesLipopolysaccharidesMultivisceral resectionRetroperitoneal soft tissue sarcomaTumor-only resection

Identifiers

PMID38347333
PMCPMC10997686
OpenAlexW4391743369

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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.