Evidence map›Paper›PMID 41777579›Full record

ArticleJournal of frailty, sarcopenia and falls2026

Diagnostic Performance of Four Screening Tools for Detecting Low Muscle Mass and Sarcopenia in Preoperative Older Japanese Patients with Colorectal Cancer According to the AWGS 2019 Criteria.

Yasuhiro Shimamura, Naomi Akazawa, Sanae Nakajima, Yukiko Kobayashi, Wataru Aoi, Masashi Kuwahata

Abstract read
In one paragraph

Article in Journal of frailty, sarcopenia and falls, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

Yasuhiro ShimamuraDepartment of Nutrition Management, Kobe City Medical Center West Hospital, Japan.
Naomi AkazawaDepartment of Nutrition Management, Kobe City Medical Center West Hospital, Japan.
Sanae NakajimaDepartment of Surgery, Kobe City Medical Center West Hospital, Japan.
Yukiko KobayashiLaboratory of Nutrition Science, Division of Applied Life Sciences, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Japan.
Wataru AoiLaboratory of Nutrition Science, Division of Applied Life Sciences, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Japan.
Masashi KuwahataLaboratory of Nutrition Science, Division of Applied Life Sciences, Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Sarcopenia and low muscle mass are distinct clinical conditions associated with adverse outcomes after colorectal cancer (CRC) surgery. Due to limited effective screening methods, we evaluated the diagnostic performance of four tools for these conditions in preoperative patients with CRC. Methods: This cross-sectional study included patients aged ≥65 years with stage I-III CRC scheduled for elective surgery. Sarcopenia and low appendicular skeletal muscle mass (ASM) were diagnosed according to the Asian Working Group for Sarcopenia 2019 criteria. Diagnostic performance of calf circumference (CC), SARC-F, SARC-CalF, and the Ishii score was evaluated. Results: Ninety-eight patients (48.0% females, mean age 77.4 ± 6.2 years) were included. Prevalences of low ASM and sarcopenia were 56.1% and 41.8%, respectively. For low ASM, CC demonstrated the highest accuracy (AUC 0.907, sensitivity 80.0%, specificity 86.0%), significantly outperforming SARC-F and SARC-CalF (AUCs 0.617 and 0.854; Conclusions: The Ishii score demonstrated superior diagnostic performance for sarcopenia, underscoring the importance of muscle strength assessment for effective screening.

Indexed as

Calf circumferenceColorectal cancerIshii scoreLow muscle massSarcopenia

Identifiers

PMID41777579
PMCPMC12951583

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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.