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Record W3003678311 · doi:10.14740/wjon1225

Sarcopenia and Visceral Adiposity Did Not Affect Efficacy of Immune-Checkpoint Inhibitor Monotherapy for Pretreated Patients With Advanced Non-Small Cell Lung Cancer

2020· article· en· W3003678311 on OpenAlex
Seigo Minami, Shouichi Ihara, Tsunehiro Tanaka, Kiyoshi Komuta

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Journal of Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineSarcopeniaHazard ratioLung cancerOncologyProportional hazards modelGastroenterologyMultivariate analysisBody mass indexCancerResponse Evaluation Criteria in Solid TumorsDiseaseConfidence intervalProgressive disease

Abstract

fetched live from OpenAlex

BACKGROUND: This study aimed to investigate the association of computed tomography (CT)-assessed sarcopenia and visceral adiposity with efficacy and prognosis of immune-checkpoint inhibitor (ICI) therapy for pretreated non-small cell lung cancer (NSCLC). METHODS: We retrospectively collected 74 patients with pretreated NSCLC who had initiated programmed cell death protein 1 (PD-1) or programmed cell death ligand 1 (PD-L1) inhibitor monotherapy between December 2015 and November 2018 at our hospital. As CT-assessed pretreatment markers, we used psoas muscle index (PMI), intramuscular adipose tissue content (IMAC), visceral-to-subcutaneous ratio (VSR) and visceral fat area (VFA) at lumbar vertebra L3 level. We divided 74 patients into high and low groups according to each Japanese sex-specific cut-off value. Using Kaplan-Meier curves and log-rank tests, we compared overall survival (OS) and progression-free survival (PFS). Adjusted by serum albumin, neutrophil-to-lymphocyte ratio, performance status and driver mutations, multivariate Cox proportional hazard analyses evaluated various variables as independent prognostic factors of OS and PFS. RESULTS: We could not find significant difference in response rate (RR) and disease control rate (DCR) between low and high groups according to any factors. The OS of patients with body mass index (BMI) < 18.5 was significantly shorter than that of patients with BMI ≥ 18.5 (median 3.3 vs. 15.8 months, P < 0.01), while there was no significant difference in OS and PFS according to PMI, IMAC, VSR and VFA. Multivariate analyses detected no significant prognostic factor in OS and PFS, except for low IMAC (hazard ratio 0.43, 95% confidence interval 0.18 - 0.998, P = 0.0496) as a favorable prognostic factor of longer OS. CONCLUSIONS: Neither PMI nor VSR, VFA might be a significant prognostic factor of PFS and OS of ICI monotherapy for pretreated NSCLC. According to our multivariate analyses, IMAC was a significant prognostic factor of OS, but not of PFS. Thus, neither sarcopenia nor visceral adiposity may be associated with the efficacy of ICI therapy.

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 score0.066
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.020
GPT teacher head0.329
Teacher spread0.309 · 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