Evidence map›Paper›PMID 35680140›Full record

ArticleInternational journal of gynecological cancer : official journal of the International Gynecological Cancer Society2022

Quality is more important than quantity: pre-operative sarcopenia is associated with poor survival in advanced ovarian cancer.

Clarissa Polen-De, Priyal Fadadu, Amy L Weaver, Michael Moynagh, Naoki Takahashi, Aminah Jatoi, Nathan K LeBrasseur, Michaela McGree, William Cliby, Amanika Kumar

Abstract read
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In one paragraph

Article in International journal of gynecological cancer : official journal of the International Gynecological Cancer Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

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  9. Correspondence on "Quality is more important than quantity: pre-operative sarcopenia is associated with poor survival in advanced ovarian cancer" by Polen-De et al.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Clarissa Polen-DeDepartment of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota, USA.ORCID http://orcid.org/0000-0003-3079-7121
Priyal FadaduDepartment of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota, USA.
Amy L WeaverDepartment of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota, USA.
Michael MoynaghDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Naoki TakahashiDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Aminah JatoiDepartment of Oncology, Mayo Clinic, Rochester, Minnesota, USA.
Nathan K LeBrasseurDepartment of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, Minnesota, USA.
Michaela McGreeDepartment of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota, USA.
William ClibyDepartment of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota, USA.
Amanika KumarDepartment of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota, USA kumar.amanika@mayo.edu.
Mayo Clinic · USMayo Clinic in Florida · US

Funding

Use of microfluidic tumor cultures to enable clinical trials of therapies for ovarian cancerP50CA136393 · NCI · MAYO CLINIC ROCHESTER · PI ELLEN L. GOODE · 2009 to 2026
$37.0M
NCI NIH HHS P50 CA136393
6 · The paper itself

Abstract

backgroundSarcopenia is prevalent among older patients with cancer and is associated with poor outcomes.

objectiveTo explore the relationship between muscle mass, quality, and patient age with overall survival after surgery for advanced ovarian cancer.

methodsPatients with advanced stage (IIIC/IV) ovarian cancer who underwent primary cytoreductive surgery between January 2006 and July 2016 were included. Body composition measures were calculated from pre-operative CT imaging: skeletal muscle index (skeletal muscle index=skeletal muscle area normalized for height), skeletal muscle density, and skeletal muscle gauge (product of skeletal muscle index and skeletal muscle density). Each measure was transformed to a z-score and evaluated for association with risk of death using Cox proportional hazards models. Recursive partitioning was used to classify patients into homogeneous subgroups considering age and skeletal muscle gauge as predictors of overall survival.

resultsThe study included 429 patients (mean age 64.2 years). Increased age moderately correlated with decreased skeletal muscle gauge (r=-0.45). Decreasing skeletal muscle density and skeletal muscle gauge were significantly associated with increased risk of death; HR (95% CI) per 1-unit decrease in z-score of 1.24 (1.10 to 1.39) for skeletal muscle density and 1.27 (1.12 to 1.44) for skeletal muscle gauge. Associations were diluted after adjusting for age (1.13 (1.00 to 1.29) skeletal muscle density and 1.14 (0.99 to 1.30) skeletal muscle gauge). Recursive partitioning identified three subgroups: <60 years old, ≥60 years old with skeletal muscle gauge ≥937.3, and ≥60 years old with skeletal muscle gauge <937.3; median overall survival was 5.8, 3.3, and 2.3 years, respectively (p<0.001).

conclusionsSkeletal muscle gauge, a novel sarcopenia measure incorporating quantity and quality, was associated with poorer survival in patients with advanced ovarian cancer, particularly among patients older than 60. Expanding our knowledge of how sarcopenia relates to solid tumor outcomes among high-risk patients can modify our treatment approach.

Indexed as

Cytoreduction surgical proceduresGynecologic Surgical ProceduresOvarian CancerPostoperative CareSurgical Oncology

Identifiers

PMID35680140
OpenAlexW4281806256

What OpenQuestion holds

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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.