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Record W1577090346 · doi:10.1002/cncr.28218

Skeletal muscle density predicts prognosis in patients with metastatic renal cell carcinoma treated with targeted therapies

2013· article· en· W1577090346 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCancer · 2013
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineHounsfield scaleConfidence intervalRenal cell carcinomaProportional hazards modelAdipose tissueInternal medicineSkeletal muscleSarcopeniaHazard ratioLog-rank testUrologyOncologySurgeryComputed tomography

Abstract

fetched live from OpenAlex

BACKGROUND: Studies have shown that skeletal muscle and adipose tissue are linked to overall survival (OS) and progression-free survival (PFS). Because targeted therapies have improved the outcome in patients with metastatic renal cell carcinoma (mRCC), new prognostic parameters are required. The objective of the current study was to analyze whether body composition parameters play a prognostic role in patients with mRCC. METHODS: Adipose tissue, skeletal muscle, and skeletal muscle density (SMD) were assessed with computed tomography imaging by measuring cross-sectional areas of the tissues and mean muscle Hounsfield units (HU). A high level of mean HU indicates a high SMD and high quality of muscle. OS and PFS were estimated using the Kaplan-Meier method and compared with the log-rank test. The multivariable Cox proportional hazards model was adjusted for Heng risk score and treatment. RESULTS: In the 149 patients studied, the median OS was 21.4 months and was strongly associated with SMD; the median OS in patients with low SMD was approximately one-half that of patients with high SMD (14 months vs 29 months; P = .001). After adjustment for Heng risk score and treatment, high SMD was associated with longer OS (hazards ratio, 1.85; P = .004) and longer PFS (hazards ratio, 1.81; P = .002). Adding SMD will separate the intermediate-risk and favorable-risk groups into 3 groups, with different median OS periods ranging from 8 months (95% confidence interval [95% CI], 6 months-12 months) for an intermediate-risk Heng score/low SMD to 22 months (95% CI, 14 months-27 months) for an intermediate-risk Heng score/high SMD and a favorable-risk Heng score/low SMD to 35 months (95% CI, 24 months-43 months) for a favorable-risk Heng score/high SMD. CONCLUSIONS: High muscle density appears to be independently associated with improved outcome and could be integrated into the prognostic scores thereby enhancing the management of patients with mRCC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.252
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it