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Record W4399765412 · doi:10.1080/07357907.2024.2363879

Prognostic Effects of Sarcopenia on Patients with Bladder Cancer: A Systematic Review and Meta-Analysis

2024· review· en· W4399765412 on OpenAlexaboutno aff
Yinghan Zeng, Chengna Cai, N.X. Pan

Bibliographic record

VenueCancer Investigation · 2024
Typereview
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsnot available
Fundersnot available
KeywordsSarcopeniaMedicineMeta-analysisInternal medicineBladder cancerCochrane LibrarySubgroup analysisCancerOncologyOverall survival

Abstract

fetched live from OpenAlex

Sarcopenia can negatively impact the survival of cancer patients. This study intends to delve into the correlation of sarcopenia with survival and complications in patients with bladder cancer (BC) after surgery. Web of Science, Cochrane Library, Embase, and PubMed databases were retrieved up to April 7, 2023, to collect studies on the impact of sarcopenia on the prognosis of adults with BC. Primary outcomes encompassed overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS). The secondary outcome consisted of postoperative complications. A meta-analysis was conducted using Stata. Forest plots and summary effect models were employed to present the results. The quality of eligible studies was assessed using the Newcastle–Ottawa Scale (NOS). Initially, 1713 studies were identified through searches across four databases, and 26 studies were ultimately included in the analysis. Sarcopenia was significantly associated with OS (HR:1.62; 95% CI: 1.43–1.83; P < 0.001, I2 = 0.9%), CSS (HR: 1.81, 95% CI: 1.52–2.15, P < 0.001, I2 = 0.0%), and RFS (HR: 1.76, 95% CI: 1.21–2.56, P = 0.003, I2 = 0.0%) in BC patients. Subgroup analyses revealed that sarcopenia is strongly linked to prognosis and postoperative complications in BC patients.

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.

How this classification was reachedexpand

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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.563
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.001
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 head0.115
GPT teacher head0.409
Teacher spread0.294 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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