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Record W4392604477 · doi:10.1101/2024.03.06.24303823

Nephroprotective effects of cilastatin in people at risk of acute kidney injury: A systematic review and meta-analysis

2024· review· en· W4392604477 on OpenAlexafffund
Dilaram Acharya, Fanar Ghanim, Tyrone G. Harrison, Tayler Scory, Nusrat Shommu, Paul E. Ronksley, Meghan J. Elliott, David Collister, Neesh Pannu, Matthew T. James

Bibliographic record

VenuemedRxiv · 2024
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of AlbertaUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsCilastatinMedicineImipenemMeta-analysisRandomized controlled trialInternal medicineObservational studyImipenem/cilastatinIntensive care medicineAntibioticsAntibiotic resistanceBiologyMicrobiology

Abstract

fetched live from OpenAlex

ABSTRACT Rationale & Objective Cilastatin is an inhibitor of drug metabolism in the proximal tubule that demonstrates nephroprotective effects in animals. It has been used in humans in combination with the antibiotic imipenem to prevent imipenem’s degradation. This systematic review and meta-analysis evaluated the nephroprotective effects of cilastatin in humans. Study Design Systematic review and meta-analysis of observational (comparative effectiveness) studies or randomized clinical trials (RCTs) Setting & Study Populations People of any age at risk of acute kidney injury (AKI). Selection Criteria for Studies We systematically searched MEDLINE, Embase, Web of Science, and the Cochrane Controlled Trials registry from database inception to November 2023 for observational studies or RCTs that compared kidney outcomes among groups treated with cilastatin, either alone or as combination imipenem-cilastatin, versus an inactive or active control group not treated with cilastatin. Data Extraction Two reviewers independently evaluated studies for inclusionand risk of bias. Analytical Approach Treatment effects were estimated using random effects models and heterogeneity was quantified using the I 2 statistic. Results We identified 10 studies (five RCTs, n=531 patients; 5 observational studies, n=6,321 participants) that met the inclusion criteria, including 6 studies with comparisons of imipenem-cilastatin to an inactive control and 4 studies with comparisons to alternate antibiotics. Based on pooled results from 5 studies, the risk of AKI was lower with imipenem-cilastatin (risk ratio [RR] 0.53 [95% CI, 0.38 to 0.74]; I 2 =42.2%), with consistent results observed from randomized trials (two trials, RR 0.30 [95% CI, 0.09 to 1.00]; I 2 =62.8%) and observational studies (three studies, RR 0.55 [95% CI, 0.38 to 0.81]; I 2 =62.8%). Based on results from six studies, kidney function was also better with imipenem-cilastatin than comparators (weighted mean difference [WMD] in serum creatinine -0.14 mg/dL [95% CI, -0.21 to -0.07]; I 2 =0%). The overall certainty of the evidence was low due to heterogeneity of the results, high risk of bias, and indirectness among the identified studies. Limitations Clinical and statistical heterogeneity could not be fully explained due to a limited number of studies. Conclusion Patients treated with imipenem-cilastatin developed AKI less frequently and had better short-term kidney function than control groups or those receiving comparator antibiotics. Larger clinical trials with less risk of detection bias due to lack of allocation concealment and blinding are needed to establish the efficacy of cilastatin for AKI prevention. Registration International Prospective Register of Systematic Reviews (PROSPERO) database (ID: CRD42023488809)

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.780
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0100.003
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.103
GPT teacher head0.444
Teacher spread0.341 · 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

Citations3
Published2024
Admission routes2
Has abstractyes

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