Evidence map›Paper›PMID 34945262›Full record

ArticleJournal of clinical medicine2021

Preoperative Fall Risk Assessment Score as a Prognostic Factor in Esophageal Cancer Patients after Esophagectomy.

Keita Kouzu, Hironori Tsujimoto, Yusuke Ishibashi, Hanae Shinada, Isawo Oikawa, Yoji Kishi, Nariyoshi Shinomiya, Hideki Ueno

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 45% 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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  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

8 authors at 1 institution in 1 country.

Keita KouzuDepartment of Surgery, National Defense Medical College, Saitama 359-0042, Japan.
Hironori TsujimotoDepartment of Surgery, National Defense Medical College, Saitama 359-0042, Japan.ORCID 0000-0002-2808-4723
Yusuke IshibashiDepartment of Surgery, National Defense Medical College, Saitama 359-0042, Japan.
Hanae ShinadaDepartment of Surgery, National Defense Medical College, Saitama 359-0042, Japan.
Isawo OikawaDepartment of Surgery, National Defense Medical College, Saitama 359-0042, Japan.
Yoji KishiDepartment of Surgery, National Defense Medical College, Saitama 359-0042, Japan.ORCID 0000-0001-8885-1210
Nariyoshi ShinomiyaDepartment of Integrative Physiology and Bio-Nano Medicine, Saitama 359-0042, Japan.ORCID 0000-0003-1497-487X
Hideki UenoDepartment of Surgery, National Defense Medical College, Saitama 359-0042, Japan.
National Defense Medical College · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current study investigated the impact of preoperative fall risk assessment score (FRAS) on long-term prognoses in patients with esophageal cancer (EC). A total of 161 patients with EC who underwent curative surgery were classified into a high-risk (95, 41.0%) and low-risk (66, 41.0%) groups according to their FRAS. This study investigated the relationships between the FRAS and clinicopathological findings and prognoses. Accordingly, patients in the high-risk group were significantly older and had a significantly higher Charlson comorbidity index than those in the low-risk group. No significant difference was found in pathological findings between both groups. The high-risk group had significantly lower overall survival (OS) and relapse-free survival (RFS) rates than the low-risk group (

Indexed as

accidental fallsesophageal cancerfrailtyprognosisrisk assessment

Identifiers

PMID34945262
PMCPMC8709201
OpenAlexW4200352069

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.