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Record W3139713181 · doi:10.21037/apm-20-1722

Risk factors for brain metastases in patients with non-small cell lung cancer: a meta-analysis of 43 studies

2021· review· en· W3139713181 on OpenAlexaboutno aff
Shanshan Chen, Xin Hua, Jinfang Jia, Ying Wu, Shuzhen Wei, Lu Xu, Shuhua Han, Hongming Zhang, Xiaoli Zhu

Bibliographic record

VenueAnnals of Palliative Medicine · 2021
Typereview
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisCochrane LibraryInternal medicineLung cancerOdds ratioConfidence intervalOncologyPublication biasAdenocarcinomaCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Lung cancer is a leading cause of cancer-related mortality worldwide. The purpose of our meta-analysis was to assess the risk factors for brain metastases (BM) in patients with non-small cell lung cancer (NSCLC). METHODS: Multiple databases, including PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI), and Wanfang, were systematically searched to recruit relevant studies investigating the risk factors for BM in NSCLC patients. The Newcastle-Ottawa Scale was used to evaluate literature quality, and the meta-analysis was performed using the Review Manager 5.3. Evidence quality evaluation was carried out according to the Grading of Recommendation Assessment, Development and Evaluation (GRADE) standard. The estimated odds ratio (OR) and 95% confidence intervals (CIs) were set as effect measures. Funnel plots and sensitivity analyses were used to assess publication bias and the robustness and reliability of the combined results, respectively. RESULTS: A total of 43 studies with 11,415 participants were included in this meta-analysis. The results indicated that the following factors were significantly associated with an increased risk of BM in NSCLC patients (P<0.05): (I) gender (female) (OR =1.32, 95% CI: 1.17-1.49, P<0.00001); (II) adenocarcinoma (OR =2.34, 95% CI: 1.76-3.11, P<0.00001) or non-squamous cell carcinoma (OR =0.63, 95% CI: 0.42-0.94, P=0.02); (III) advanced tumor stage (OR =1.48, 95% CI: 1.01-2.17, P=0.04); (IV) node stage (OR =2.19, 95% CI: 1.39-3.45, P=0.0007); (V) lymphatic metastasis (OR =2.43, 95% CI: 1.76-3.36, P<0.00001); (VI) epidermal growth factor receptor (EGFR) gene mutation (OR =1.88, 95% CI: 1.26-2.80, P=0.002); (VII) kirsten rat sarcoma viral oncogene (KRAS) gene mutation (OR =2.99, 95% CI: 1.82-4.91, P<0.00001); (VIII) higher levels of carcinoembryonic antigen (P<0.00001), carbohydrate antigen 199 (P<0.0001), cytokeratin-19 fragment (P=0.04), neuron-specific enolase (P<0.00001), and carbohydrate antigen 125 (P=0.0005). CONCLUSIONS: This meta-analysis demonstrated that NSCLC patients with BM have more aggressive clinical features.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.039
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0150.003
Bibliometrics0.0010.002
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 head0.281
GPT teacher head0.468
Teacher spread0.187 · 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 designMeta-analysis
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

Citations20
Published2021
Admission routes1
Has abstractyes

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