Coagulation parameters in lung cancer patients: A systematic review and meta‐analysis
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.
Bibliographic record
Abstract
BACKGROUND: Hypercoagulability in lung cancer patients is associated with a high incidence of mortality and morbidity in the world. Therefore, this meta-analysis aimed to explore the correlation of the basic coagulation abnormalities in lung cancer patients compared with the control. METHOD: PubMed, Scopus, and other sources were employed to identify eligible studies. The outcome variable was expressed using mean ± standard deviation (SD). Heterogeneity among studies and publication bias were evaluated. The quality of included studies was also assessed based on Newcastle-Ottawa Scale checklist. RESULT: Finally, through a total of eight studies, prolonged prothrombin time (PT; standard mean difference [SMD]: 1.29; 95% CI: 0.47-2.11), plasma D-dimer value (SMD 3.10; 95% CI 2.08-4.12), fibrinogen (SMD 2.18; 95% CI:1.30-3.06), and platelet (PLT) count (SMD 1.00; 95% CI 0.84-1.16) were significantly higher in lung cancer patients when compared with the control group. The single-arm meta-analysis also showed that compared with control, lung cancer patients had high pooled PT 13.7 (95% CI:12.2-15.58) versus 11.79 (95% CI = 10.56-13.02), high D-dimer 275.99 (95% CI:172.9-11735.9) versus 0.2 (95% CI:0.20-0.37), high plasma fibrinogen 5.50 (95% CI:4.21-6.79) versus 2.5 (95% CI:2.04-2.91), and high PLT count 342.3 (95% CI:236.1-448.5) versus 206.6 (95% CI:176.4-236.7). CONCLUSION: In conclusion, almost all the coagulation abnormalities were closely associated with lung cancer, and hence coagulation indexes provide an urgent clue for early diagnosis and timely management.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.026 | 0.009 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it