Coffee consumption is associated with a decreased risk of incident chronic kidney disease
Bibliographic record
Abstract
BACKGROUND: Recent studies have suggested a renal protective effect of coffee consumption against development of chronic kidney disease (CKD), although the results remain inconclusive. We performed a protocol for systematic review and meta-analysis to comprehensively investigate this association by summarizing all available data. METHODS: An all-round retrieval will be performed in 5 electronic journal databases from their inception to June 2021, which comprise Medline, PubMed, Embase, ScienceDirect, and the Cochrane Library. The following key words were used on combination with Boolean operators AND or OR: "coffee," "caffeine," "renal insufficiency," "chronic kidney diseases," "chronic renal diseases." Two authors completed the quality assessment using the Newcastle-Ottawa Scale for observational studies. The meta-analysis was conducted using Review Manager 5.3 software from the Cochrane Collaboration (London, UK). RESULTS: The findings of this study will be submitted to peer-reviewed journals for publication. CONCLUSION: Coffee consumption may be associated with a lower risk of incident CKD.
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 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 | 0.000 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".