PREDICTION OF ALL-CAUSE MORTALITY AND CARDIOVASCULAR EVENTS IN END STAGE RENAL DISEASE WITH CENTRAL HAEMODYNAMICS: A SYSTEMATIC REVIEW PROTOCOL
Bibliographic record
Abstract
ABSTRACT Background Given the high rates of adverse events in End-stage renal disease (ESRD) patients and as the applications of central haemodynamics (central blood pressure, augmentation index, pulse wave velocity) in dialysis patients have not been fully clarified, we, therefore, will perform a systematic review of central haemodynamics as a predictor of total and cardiovascular mortality and morbidity in the ESRD population. Methods This protocol is reported according to the PRISMA-P guideline. The databases PubMed, EMBASE, LILACS, Web of Science, and Google Scholar system will be searched and double screening for prospective studies that assessed the prospective association of central haemodynamics parameters with at least one of the pre-specified outcomes in ESRD patients. Discrepancies will be resolved through consensus. A modified version of the Newcastle-Ottawa Quality Assessment Scale of cohort studies will be used. We intend to use the random-effects model, considering at least moderate heterogeneity between studies. If data allow, we will perform a sensitivity analysis to explore potential sources of between-study heterogeneity. Discussion This systematic review will summarize current evidence about central haemodynamics measures in the ESRD patients and clarify the incremental prognostic value of this diagnostic tool in these patients. Therefore, this systematic review will also be displayed important knowledge gaps in the current literature regarding the possible utility of central haemodynamics indices in ESRD patients. Systematic review registration This systematic review protocol was submitted to the PROSPERO international registry of systematic reviews (Registration number: CRD42022260824). Strengths and limitations of this study → The PROSPERO registry helps to promote and maintain transparency in the process and to assist in minimizing the risk of bias. Four databases and one additional grey literature source helps ensure more complete coverage of the topic. All the review phases will be peer-reviewed and will be validated by methodological and clinical experts. → Central (aortic, carotid) pressures are pathophysiologically more relevant than peripheral pressures for the pathogenesis of cardiovascular (CV) disease. There is a cumulative increase in CVD during the transition from CKD to ESRD: as patients initiate dialysis, there are significant changes in blood pressure, volume status, and circulating solutes, all of which may contribute to increased risk of CVD. Studies did not further analyze the ability of central pressures and indices to predict future events in separated stages of CKD, especially in End-stage renal disease patients (ESRD) patients. → This study has limitations. Because heterogeneity is quite common in these systematic reviews, there may be limited scope for meta-analysis. Possibly, the spectrum of patients in different research sites is the main factor, in most cases, but heterogeneity in associations between studies may be difficult to explain. → This systematic review will evaluate the evidence related to the Central Haemodynamics (central blood pressure, augmentation index, pulse wave velocity) incremental prognostic value in ESRD patients, which may lower morbidity and mortality and influence its use as a prognostic marker for ESRD 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 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 | 0.066 | 0.078 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.020 | 0.017 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.067 | 0.010 |
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".