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The Impact of Pulmonary Rehabilitation on Advanced Stage Lung Cancer Patients Receiving Chemotherapy or Radiotherapy: A Systematic Review and Meta-analysis

2024· review· en· W4402066376 on OpenAlexaboutno aff
Yelsa Yulanda Putri, Suyastri Suyastri, Siti Maryani

Bibliographic record

VenueMajalah Kedokteran Andalas · 2024
Typereview
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRadiation therapyMeta-analysisStage (stratigraphy)Lung cancerChemotherapyOncologyRehabilitationSystematic reviewInternal medicineMEDLINEPhysical therapy

Abstract

fetched live from OpenAlex

Objective: This study aims to analyze the efficacy of pulmonary rehabilitation on exercise capacity, lung function, and quality of life (QoL) in advanced lung cancer. Method: This Systematic Review and meta-analysis were conducted based on Randomized Clinical Trials and Prospective articles obtained through searches in PubMed, Google Scholar, Europe PMC, and Cochrane Library. The review focuses on the predetermined topic. The quality of the study was assessed by the Jadad scale for clinical trial studies and Newcastle Ottawa Scale for Cohort. Statistical analysis was done using Review Manager 5.4 software. Result: A total of 6 RCT studies with 251 participants were included in this meta‐analysis. Patients with lung cancer who have received chemotherapy and or radiation therapy and undergo pulmonary rehabilitation programs have a significant impact on exercise capacity The Six Minute Walk Test (MD=72.06 [95% CI 25.45, 118.67], p=0.002), Forced Expiratory Volume (MD=13.03 [95% CI 0.18,25.89], p= 0.05), Forced Vital Capacity (MD=12.44 [95% CI 0.58, 24.30], p= 0.04) dan HRQoL Functional Assessment of Cancer Therapy-Lung Cancer Subscale (MD=1.64 [95% CI 0.07,3.21], p= 0.04). Conclusion: Our study suggests that pulmonary rehabilitation impact exercise capacity (6MWT), improvement in lung function, and quality of life.Keywords: Lung cancer; Pulmonary Rehabilitation; Chemotherapy; Radiotherapy

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.676
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.005
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)0.0010.000

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 head0.030
GPT teacher head0.391
Teacher spread0.361 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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