Evidence map›Paper›PMID 41924603›Full record

ArticleFrontiers in oncology2026

Determinants of skeletal muscle loss during initial treatment in patients with ovarian cancer: a brief report.

Naomi Nakayama, Daisaku Asai, Tomoka Ishibashi, Tsubasa Maejima, Masako Ishikawa, Kentaro Nakayama

Abstract read
In one paragraph

Article in Frontiers in oncology, 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

6 authors.

Naomi Nakayama *Department of General Medicine, East Medical Center, School of Medicine, Nagoya City University, Nagoya, Japan.
Daisaku Asai *Department of Obstetrics and Gynecology, East Medical Center, School of Medicine, Nagoya City University, Nagoya, Japan.
Tomoka IshibashiDepartment of Obstetrics and Gynecology, East Medical Center, School of Medicine, Nagoya City University, Nagoya, Japan.
Tsubasa MaejimaDepartment of Obstetrics and Gynecology, East Medical Center, School of Medicine, Nagoya City University, Nagoya, Japan.
Masako IshikawaDepartment of Obstetrics and Gynecology, School of Medicine, Shimane University, Izumo, Japan.
Kentaro NakayamaDepartment of Obstetrics and Gynecology, East Medical Center, School of Medicine, Nagoya City University, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We previously reported that skeletal muscle loss during initial treatment is associated with poor outcomes in ovarian cancer. However, its clinical determinants remain incompletely understood. Methods: We analyzed a previously characterized cohort of patients with ovarian cancer to identify clinical and inflammatory factors associated with skeletal muscle loss during initial treatment. Univariate and multivariate logistic regression analyses were performed using clinical variables, inflammatory markers, and tumor-related factors. Results: In univariate analysis, elevated neutrophil-to-lymphocyte ratio and the presence of residual tumor were associated with skeletal muscle loss. However, after multivariate adjustment, no variable remained independently associated with muscle loss, and no single clinical or laboratory parameter emerged as a significant predictor. Conclusion: No independent biomarker predicting early skeletal muscle loss was identified. These findings suggest that muscle loss during initial treatment reflects the overall burden of disease rather than isolated inflammatory or tumor-related factors. Tumor-driven metabolic alterations may contribute to this process and warrant further investigation.

Indexed as

body compositiondebulking surgery and chemotherapyovarian cancersarcopeniaskeletal muscle loss

Identifiers

PMID41924603
PMCPMC13035792

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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.