Evidence map›Paper›PMID 35399184›Full record

ArticleCancer diagnosis & prognosis

Outcomes of Sarcopenia Treatment for Malignant Bone and Soft Tissue Tumors in Elderly Patients.

Yoshitaka Ban, Hoshi Manabu, Naoto Oebisu, Akiyoshi Shimatani, Naoki Takada, Hiroaki Nakamura

Open access · greenAbstract read
In one paragraph

Article in Cancer diagnosis & prognosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Yoshitaka BanDepartment of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan.
Hoshi ManabuDepartment of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan.
Naoto OebisuDepartment of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan.
Akiyoshi ShimataniDepartment of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan.
Naoki TakadaDepartment of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan.
Hiroaki NakamuraDepartment of Orthopaedic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan.
Osaka City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aim: We determined the impact of sarcopenia on the treatment outcomes of malignant bone and soft tissue tumors in elderly patients. Patients and Methods: We retrospectively reviewed 76 patients (age ≥65 years) who were treated for malignant bone and soft tissue tumors. Sarcopenia was assessed by measuring the cross-sectional area of the psoas muscles at the L3 vertebra from preoperative computed tomography images and categorized using the total psoas area/m Results: The operation time, length of hospital stay, and median overall survival were not different between the sarcopenia (n=41) and no-sarcopenia (n=35) groups. The local recurrence rate (p=0.01) and incidence of postoperative complications (p=0.02) significantly differed between both groups. The TPA/m Conclusion: Sarcopenia negatively influenced wound healing and local recurrence, and was significantly exacerbated postoperatively in all elderly patients.

Indexed as

local recurrencemalignant bonepostoperative complicationsSarcopeniasoft tissue tumorwide resection

Identifiers

PMID35399184
PMCPMC8962811
OpenAlexW4214774265

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.