Tricuspid Annular Plane Systolic Excursion (TAPSE) in COPD Patients, A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
OBJECTIVE: Tricuspid annular plane systolic excursion (TAPSE) is an echocardiographic parameter that serves as a prognostic indicator for the severity of chronic obstructive pulmonary disease (COPD) clinical course. This study, consisting of a systematic review and meta-analysis, evaluates the current literature to elucidate the relationship between TAPSE measurement in COPD patients versus control subjects to discern baseline evidence of right heart strain. METHODS: PubMed, Scopus, CINAHL, Web of Science, and Cochrane Library databases were searched from their beginnings through November 1, 2023, for eligible studies. Outcomes included the difference of TAPSE measurement and right ventricular (RV) wall thickness between COPD patients and control patients. The Newcastle-Ottawa Scale was applied to assess risk of bias, Q-statistics and I2 values were used to assess for heterogeneity, and Egger and Begg tests were used to assess publication bias. RESULTS: The search yielded 11 studies reporting TAPSE values involving 1,671 patients, 800 (47.9%) of which had COPD. The unadjusted mean TAPSE value for COPD patients was 18.9±4.0 mm, while the mean TAPSE value for control patients was 22.2±0.8 mm. The presence of COPD was significantly associated with decreased TAPSE values, with the meta-analysis reporting the mean difference in TAPSE value at -3.0 (95% confidence interval, -4.3 to -1.7; P=0.001) between COPD and control patients. Six studies reported the RV free wall thickness. The unadjusted mean RV free wall thickness for COPD patients was 4.9±1.2 mm, and for control patients was 3.4±0.7 mm. CONCLUSION: This meta-analysis demonstrated statistically significant lower TAPSE values and thicker RV free wall among COPD patients as compared with control patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.028 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".