Evidence map›Paper›PMID 40295010›Full record

ArticleIn vivo (Athens, Greece)

Surgical Treatment and Prognosis of Soft Tissue Sarcoma in Patients Aged 85 Years and Older.

Hiroyuki Tsuchie, Makoto Emori, Shohei Murata, Yasutaka Murahashi, Emi Mizushima, Junya Shimizu, Hiroyuki Nagasawa, Atsushi Teramoto, Naohisa Miyakoshi

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). 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
1 · What the graph read from it

What it found

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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

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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.

  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

9 authors.

Hiroyuki TsuchieDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan; tuchikiti@yahoo.co.jp.
Makoto EmoriDepartment of Orthopedic Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan.
Shohei MurataDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.
Yasutaka MurahashiDepartment of Orthopedic Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan.
Emi MizushimaDepartment of Orthopedic Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan.
Junya ShimizuDepartment of Orthopedic Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan.
Hiroyuki NagasawaDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.
Atsushi TeramotoDepartment of Orthopedic Surgery, Sapporo Medical University School of Medicine, Sapporo, Japan.
Naohisa MiyakoshiDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThe incidence of soft tissue sarcomas (STSs) among older patients is increasing. Although it has been reported that surgical treatment of elderly patients with STS improves prognosis, most of these studies included patients aged <85 years. This study aimed to analyze the clinical features and prognostic factors of STS in excessively elderly patients aged ≥85 or ≥90 years. PATIENTS AND

methodsWe retrospectively identified 398 patients with STS who were treated at our two hospitals between 1994 and 2022. Only histological types that existed in ≥20 cases were included. Data on clinical information and detailed assessments were collected. We divided the patients into two subgroups according to 85 or 90 years of age and compared the groups within each subgroup. Furthermore, we examined the factors affecting the prognosis of all and older patients.

resultsPatients ≥85 or ≥90 years old comprised 12.1% and 4.0% of the study population, respectively. In all patients, Kaplan-Meier curves for overall survival demonstrated a significantly poorer prognosis in elderly patients with STS aged ≥85 years (

conclusionSurgical treatment improves the prognosis in elderly STS patients aged ≥85 years and possibly among those aged ≥90 years.

Indexed as

SarcomaAgedAged, 80 and overAge FactorsFemaleHumansKaplan-Meier EstimateMalePrognosisRetrospective StudiesTreatment Outcome90 years oldElderlysoft tissue sarcomasurgery

Identifiers

PMID40295010
PMCPMC12041974

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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.