Evidence map›Paper›PMID 41676841›Full record

ArticleJMA journal2026

Geriatric Assessment with Geriatric-8, Body Weight Loss, and Bioelectrical Impedance Analysis in Older Patients with Lung Cancer: A Single-Center Retrospective Study.

Tomonori Hirashima, Naoki Yoshimoto, Yoshitaka Fujii, Satoru Yamamoto, Yuhki Takahashi, Masaki Ninomiya, Keita Mizukoshi, Sora Obata, Yusuke Watari, Akira Todoriki and 8 more

Abstract read
In one paragraph

Article in JMA journal, 2026. 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
–field-weighted citation impact
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.

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

18 authors.

Tomonori HirashimaDepartment of Thoracic Oncology, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Naoki YoshimotoRespiratory Medicine, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Yoshitaka FujiiThoracic Surgery, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Satoru YamamotoThoracic Surgery, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Yuhki TakahashiPhysical Therapy, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Masaki NinomiyaPhysical Therapy, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Keita MizukoshiPhysical Therapy, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Sora ObataPhysical Therapy, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Yusuke WatariPhysical Therapy, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Akira TodorikiRespiratory Medicine, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Erika MatsuiRespiratory Medicine, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Atsuhito HikiishiRespiratory Medicine, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Eriko TaniRespiratory Medicine, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Kenji NakahamaRespiratory Medicine, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Hidekazu SuzukiOsaka Habikino Medical Center, Department of Thoracic Oncology, Habikino, Osaka Prefecture, Japan.
Nobuhiro IzumiThoracic Surgery, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Kenichi MinamiRespiratory Medicine, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.
Kazuto HirataRespiratory Medicine, Ishikiriseiki Hospital, Higashiosaka, Osaka Prefecture, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is no standard geriatric assessment (GA) for patients aged ≥65 years with lung cancer (hereafter referred to as patients). This retrospective study evaluated whether GA could be achieved by combining Geriatric-8 (G8) score (G8s), body weight loss (BWL) of more than 5% (5%BWL), and bioelectrical impedance analysis (BIA). Methods: This study included patients who underwent G8 screening, BIA (measuring skeletal muscle mass index [SMI] and extracellular water-to-total body water ratio [ECW/TBW]), and physical function tests before treatment at our hospital between March 1, 2023, and December 31, 2024. Patient clinical records were reviewed to collect baseline data. Statistical analyses were conducted using R (version 4.1.1). Results: A total of 120 patients were analyzed. We found the following significant associations: G8s ≤14.0 and 5%BWL were associated with advanced-stage disease; G8s >14.0 and SMI ≥cut-off value (CV) with higher body mass index; ECW/TBW ≥0.4 (0.4 ECW/TBW) with aging and poor performance status; 5%BWL with lower maximum lower leg calf circumference (MLLCC); SMI ≥CV with higher maximum handgrip strength (MHGS) and MLLCC; 0.4 ECW/TBW with lower MHGS, gait speed, and five-time sit-to-stand performance. The multivariate analysis confirmed significant associations: G8s ≤14.0 was associated with cancer cachexia; SMI < CV and 0.4 ECW/TBW were associated with sarcopenia, and 0.4 ECW/TBW was associated with physical function decrease, as indicated by a Short Physical Performance Battery score of ≤9. Patients with G8s ≤14.0, 5%BWL, or 0.4 ECW/TBW had shorter survival durations than their respective counterparts. Patients were classified into three frailty categories (none, mild combined with moderate, severe) based on a combination of four factors (G8, BWL, SMI, and ECW/TBW) and had distinct survival curves. Conclusions: The combination of these four factors offers a simple and objective approach for GA in patients.

Indexed as

body weight losscancer cachexiaextracellular water-to-total body water ratiogeriatric-8lung cancer, geriatric assessmentsarcopeniaskeletal muscle mass index

Identifiers

PMID41676841
PMCPMC12889063

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.